{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T17:54:36Z","timestamp":1781546076273,"version":"3.54.5"},"reference-count":86,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T00:00:00Z","timestamp":1781481600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/legalcode"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Proc. ACM Interact. Mob. Wearable Ubiquitous Technol."],"published-print":{"date-parts":[[2026,6,15]]},"abstract":"<jats:p>\n                    Self-directed rehabilitation in everyday environments remains difficult due to limited feedback and the absence of contextually grounded guidance. In response, we present RehabGen, a generative vision-language model that generates personalized exercise plans contextualized to a patient's egocentric image and available everyday objects. We followed an expert-in-the-loop (EITL) framework: gathering domain requirements through expert interviews and focus group interviews (\n                    <jats:italic toggle=\"yes\">N<\/jats:italic>\n                    =8), constructing a 1.66k multimodal preference dataset, and aligning the model using supervised fine-tuning (SFT) and Direct Preference Optimization (DPO). In Expert Validation (\n                    <jats:italic toggle=\"yes\">N<\/jats:italic>\n                    =23), DPO achieved a 57.6% item-level win rate over the Baseline, with higher scores in Personalized Recommendation (85.7%), Identify Purpose (63.6%), and Recommendation Satisfaction (66.7%). In Patient Experience Evaluation (\n                    <jats:italic toggle=\"yes\">N<\/jats:italic>\n                    =8), both models outperformed the Baseline. This work contributes an EITL framework and open-source models available at http:\/\/rehabgen.hcitech.org\/ for clinically grounded, context-aware rehabilitation planning.\n                  <\/jats:p>","DOI":"10.1145\/3810235","type":"journal-article","created":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T17:06:41Z","timestamp":1781543201000},"page":"1-23","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["RehabGen: Generative Expert-in-the-Loop Vision-Language Model for Everyday Contextualized Rehabilitation Exercises"],"prefix":"10.1145","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3496-2534","authenticated-orcid":false,"given":"Youjin","family":"Sung","sequence":"first","affiliation":[{"name":"Graduate School of Culture Technology, KAIST, Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0122-532X","authenticated-orcid":false,"given":"Heejin","family":"Jeong","sequence":"additional","affiliation":[{"name":"Ira A. Fulton Schools of Engineering, Arizona State University, Mesa, Arizona, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5930-3899","authenticated-orcid":false,"given":"Xuhai","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, Columbia University, New York City, New York, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3780-5350","authenticated-orcid":false,"given":"Sang Ho","family":"Yoon","sequence":"additional","affiliation":[{"name":"Graduate School of Culture Technology, KAIST, Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,6,15]]},"reference":[{"key":"e_1_2_2_1_1","volume-title":"Kinect-Based Rehabilitation Systems for Stroke Patients: A Scoping Review. BioMed research international","author":"Almasi Sohrab","year":"2022","unstructured":"Sohrab Almasi, Hossein Ahmadi, Farkhondeh Asadi, Leila Shahmoradi, Goli Arji, Mojtaba Alizadeh, and Hoshang Kolivand. 2022. Kinect-Based Rehabilitation Systems for Stroke Patients: A Scoping Review. BioMed research international 2022, 1 (2022), 4339054."},{"key":"e_1_2_2_2_1","volume-title":"William Bradley Knox, and Todd Kulesza","author":"Amershi Saleema","year":"2014","unstructured":"Saleema Amershi, Maya Cakmak, William Bradley Knox, and Todd Kulesza. 2014. Power to the people: The role of humans in interactive machine learning. AI magazine 35, 4 (2014), 105\u2013120."},{"key":"e_1_2_2_3_1","volume-title":"The claude 3 model family: Opus, sonnet, haiku. Claude-3 Model Card 1, 1","author":"Anthropic AI","year":"2024","unstructured":"AI Anthropic. 2024. The claude 3 model family: Opus, sonnet, haiku. Claude-3 Model Card 1, 1 (2024), 4."},{"key":"e_1_2_2_4_1","volume-title":"Patient involvement with home-based exercise programs: can connected health interventions influence adherence? JMIR mHealth and uHealth 6, 3","author":"Argent Rob","year":"2018","unstructured":"Rob Argent, Ailish Daly, and Brian Caulfield. 2018. Patient involvement with home-based exercise programs: can connected health interventions influence adherence? JMIR mHealth and uHealth 6, 3 (2018), e8518."},{"key":"e_1_2_2_5_1","unstructured":"Yuntao Bai Andy Jones Kamal Ndousse Amanda Askell Anna Chen Nova DasSarma Dawn Drain Stanislav Fort Deep Ganguli Tom Henighan et al. 2022. Training a helpful and harmless assistant with reinforcement learning from human feedback. arXiv preprint arXiv:2204.05862 (2022)."},{"key":"e_1_2_2_6_1","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1080\/10749357.2015.1120453","article-title":"Home-based telesurveillance and rehabilitation after stroke: areal-life study","volume":"23","author":"Bernocchi Palmira","year":"2016","unstructured":"Palmira Bernocchi, Fabio Vanoglio, Doriana Baratti, Roberta Morini, Silvana Rocchi, Alberto Luisa, and Simonetta Scalvini. 2016. Home-based telesurveillance and rehabilitation after stroke: areal-life study. Topics in Stroke Rehabilitation 23, 2 (2016), 106\u2013115.","journal-title":"Topics in Stroke Rehabilitation"},{"key":"e_1_2_2_7_1","volume-title":"Advanced technologies in rehabilitation","author":"Brennan David M","unstructured":"David M Brennan, Sue Mawson, and Simon Brownsell. 2009. Telerehabilitation: enabling the remote delivery of healthcare, rehabilitation, and self management. In Advanced technologies in rehabilitation. IOS Press, 231\u2013248."},{"key":"e_1_2_2_8_1","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1258\/jtt.2009.003002","article-title":"Supervised training with wireless monitoring of ECG, blood pressure and oxygen-saturation in cardiac patients","volume":"15","author":"Busch Clemens","year":"2009","unstructured":"Clemens Busch, Christian Baumbach, Detlev Willemsen, Oliver Nee, Torsten Gorath, Andreas Hein, and Thomas Scheffold. 2009. Supervised training with wireless monitoring of ECG, blood pressure and oxygen-saturation in cardiac patients. Journal of telemedicine and telecare 15, 3 (2009), 112\u2013114.","journal-title":"Journal of telemedicine and telecare"},{"key":"e_1_2_2_9_1","volume-title":"Proceedings of the ACM on Human-computer Interaction 3, CSCW","author":"Cai Carrie J","year":"2019","unstructured":"Carrie J Cai, Samantha Winter, David Steiner, Lauren Wilcox, and Michael Terry. 2019. \u201cHello AI\u201d: uncovering the onboarding needs of medical practitioners for human-AI collaborative decision-making. Proceedings of the ACM on Human-computer Interaction 3, CSCW (2019), 1\u201324."},{"key":"e_1_2_2_10_1","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1002\/j.1556-6678.2002.tb00193.x","article-title":"Learning to write case notes using the SOAP format","volume":"80","author":"Cameron Susan","year":"2002","unstructured":"Susan Cameron and Imani Turtle-Song. 2002. Learning to write case notes using the SOAP format. Journal of Counseling & Development 80, 3 (2002), 286\u2013292.","journal-title":"Journal of Counseling & Development"},{"key":"e_1_2_2_11_1","volume-title":"John T Janecek, Yunan Chen, Kai Zheng, and Steven C Cramer.","author":"Chen Yu","year":"2019","unstructured":"Yu Chen, Kingsley Travis Abel, John T Janecek, Yunan Chen, Kai Zheng, and Steven C Cramer. 2019. Home-based technologies for stroke rehabilitation: A systematic review. International journal of medical informatics 123 (2019), 11\u201322."},{"key":"e_1_2_2_12_1","volume-title":"Deep reinforcement learning from human preferences. Advances in neural information processing systems 30","author":"Christiano Paul F","year":"2017","unstructured":"Paul F Christiano, Jan Leike, Tom Brown, Miljan Martic, Shane Legg, and Dario Amodei. 2017. Deep reinforcement learning from human preferences. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_2_2_13_1","first-page":"1","article-title":"Scaling instruction-finetuned language models","volume":"25","author":"Chung Hyung Won","year":"2024","unstructured":"Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, et al. 2024. Scaling instruction-finetuned language models. Journal of Machine Learning Research 25, 70 (2024), 1\u201353.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_2_2_14_1","unstructured":"WJ Conover and RL Iman. 1979. Multiple-comparisons procedures. Informal report. Technical Report. Los Alamos National Lab.(LANL) Los Alamos NM (United States)."},{"key":"e_1_2_2_15_1","volume-title":"Fundamentals of hand therapy: clinical reasoning and treatment guidelines for common diagnoses of the upper extremity","author":"Cooper Cynthia","unstructured":"Cynthia Cooper. 2013. Fundamentals of hand therapy: clinical reasoning and treatment guidelines for common diagnoses of the upper extremity. Elsevier Health Sciences."},{"key":"e_1_2_2_16_1","doi-asserted-by":"crossref","unstructured":"Steven C Cramer Lucy Dodakian Vu Le Jill See Renee Augsburger Alison McKenzie Robert J Zhou Nina L Chiu Jutta Heckhausen Jessica M Cassidy et al. 2019. Efficacy of home-based telerehabilitation vs in-clinic therapy for adults after stroke: a randomized clinical trial. JAMA neurology 76 9 (2019) 1079\u20131087.","DOI":"10.1001\/jamaneurol.2019.1604"},{"key":"e_1_2_2_17_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3659624","article-title":"Digital forms for all: A holistic multimodal large language model agent for health data entry","volume":"8","author":"Cuadra Andrea","year":"2024","unstructured":"Andrea Cuadra, Justine Breuch, Samantha Estrada, David Ihim, Isabelle Hung, Derek Askaryar, Marwan Hassanien, Kristen L Fessele, and James A Landay. 2024. Digital forms for all: A holistic multimodal large language model agent for health data entry. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8, 2 (2024), 1\u201339.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_2_2_18_1","unstructured":"Michael Han Daniel Han and Unsloth team. 2023. Unsloth. https:\/\/github.com\/unslothai\/unsloth"},{"key":"e_1_2_2_19_1","doi-asserted-by":"crossref","first-page":"e0282328","DOI":"10.1371\/journal.pone.0282328","article-title":"Home-based therapy and its determinants for children with cerebral palsy, exploration of parents' and physiotherapists' perspective, a qualitative study, Ethiopia","volume":"18","author":"Demeke Zelalem Dessalegn","year":"2023","unstructured":"Zelalem Dessalegn Demeke, Yohannes Awoke Assefa, Yohannes Abich, and Mulgeta Bayisa Chala. 2023. Home-based therapy and its determinants for children with cerebral palsy, exploration of parents' and physiotherapists' perspective, a qualitative study, Ethiopia. PLoS One 18, 2 (2023), e0282328.","journal-title":"PLoS One"},{"key":"e_1_2_2_20_1","volume-title":"Qlora: Efficient finetuning of quantized llms. Advances in neural information processing systems 36","author":"Dettmers Tim","year":"2023","unstructured":"Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, and Luke Zettlemoyer. 2023. Qlora: Efficient finetuning of quantized llms. Advances in neural information processing systems 36 (2023), 10088\u201310115."},{"key":"e_1_2_2_21_1","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1080\/10749357.2019.1707950","article-title":"Home program practices for supporting and measuring adherence in post-stroke rehabilitation: a scoping review","volume":"27","author":"Donoso Brown Elena V","year":"2020","unstructured":"Elena V Donoso Brown, David Nolfi, Sarah E Wallace, Joanna Eskander, and Jeanne M Hoffman. 2020. Home program practices for supporting and measuring adherence in post-stroke rehabilitation: a scoping review. Topics in Stroke Rehabilitation 27, 5 (2020), 377\u2013400.","journal-title":"Topics in Stroke Rehabilitation"},{"key":"e_1_2_2_22_1","volume-title":"The Faiss library.(2024). arXiv preprint arXiv:2401.08281","author":"Douze Matthijs","year":"2024","unstructured":"Matthijs Douze, Alexandr Guzhva, Chengqi Deng, Jeff Johnson, Gergely Szilvasy, Pierre-Emmanuel Mazar\u00e9, Maria Lomeli, Lucas Hosseini, and Herv\u00e9 J\u00e9gou. 2024. The Faiss library.(2024). arXiv preprint arXiv:2401.08281 (2024)."},{"key":"e_1_2_2_23_1","first-page":"978","article-title":"Therapy of the Hand and Upper Extremity","volume":"10","author":"Duncan Scott FM","year":"2015","unstructured":"Scott FM Duncan and Christopher W Flowers. 2015. Therapy of the Hand and Upper Extremity. Springer International Publishing 10 (2015), 978\u20133.","journal-title":"Springer International Publishing"},{"key":"e_1_2_2_24_1","unstructured":"Jakob Engel Kiran Somasundaram Michael Goesele Albert Sun Alexander Gamino Andrew Turner Arjang Talattof Arnie Yuan Bilal Souti Brighid Meredith et al. 2023. Project aria: A new tool for egocentric multi-modal ai research. arXiv preprint arXiv:2308.13561 (2023)."},{"key":"e_1_2_2_25_1","volume-title":"Xu, Lianhui Qin, Daniel McDuff, Xin Liu, Shwetak Patel, and Vikram Iyer.","author":"Englhardt Zachary","year":"2024","unstructured":"Zachary Englhardt, Chengqian Ma, Margaret E Morris, Chun-Cheng Chang, Xuhai\u201c Orson\u201d Xu, Lianhui Qin, Daniel McDuff, Xin Liu, Shwetak Patel, and Vikram Iyer. 2024. From classification to clinical insights: Towards analyzing and reasoning about mobile and behavioral health data with large language models. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8, 2 (2024), 1\u201325."},{"key":"e_1_2_2_26_1","volume-title":"Sarah Kirby, and Lucy Yardley.","author":"Essery Rosie","year":"2017","unstructured":"Rosie Essery, Adam WA Geraghty, Sarah Kirby, and Lucy Yardley. 2017. Predictors of adherence to home-based physical therapies: a systematic review. Disability and rehabilitation 39, 6 (2017), 519\u2013534."},{"key":"e_1_2_2_27_1","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1080\/01621459.1937.10503522","article-title":"The use of ranks to avoid the assumption of normality implicit in the analysis of variance","volume":"32","author":"Friedman Milton","year":"1937","unstructured":"Milton Friedman. 1937. The use of ranks to avoid the assumption of normality implicit in the analysis of variance. Journal of the american statistical association 32, 200 (1937), 675\u2013701.","journal-title":"Journal of the american statistical association"},{"key":"e_1_2_2_28_1","volume-title":"Handbook of rehabilitation in older adults","author":"Gatchel Robert J","unstructured":"Robert J Gatchel, Izabela Z Schultz, and Christopher T Ray. 2018. Handbook of rehabilitation in older adults. Springer."},{"key":"e_1_2_2_29_1","first-page":"2270","article-title":"Compliance with upper limb home-based exergaming interventions for stroke patients: a narrative review","volume":"54","author":"Gelineau Axelle","year":"2022","unstructured":"Axelle Gelineau, Anaick Perrochon, Jean-Christophe Daviet, and Stephane Mandigout. 2022. Compliance with upper limb home-based exergaming interventions for stroke patients: a narrative review. Journal of rehabilitation medicine 54 (2022), 2270.","journal-title":"Journal of rehabilitation medicine"},{"key":"e_1_2_2_30_1","doi-asserted-by":"crossref","unstructured":"Ethan Goh Robert Gallo Jason Hom Eric Strong Yingjie Weng Hannah Kerman Jos\u00e9phine A Cool Zahir Kanjee Andrew S Parsons Neera Ahuja et al. 2024. Large language model influence on diagnostic reasoning: a randomized clinical trial. JAMA network open 7 10 (2024) e2440969-e2440969.","DOI":"10.1001\/jamanetworkopen.2024.40969"},{"key":"e_1_2_2_31_1","volume-title":"Proceedings of the 17th ACM International Conference on Web Search and Data Mining. 1167\u20131168","author":"Goyal Sagar","year":"2024","unstructured":"Sagar Goyal, Eti Rastogi, Sree Prasanna Rajagopal, Dong Yuan, Fen Zhao, Jai Chintagunta, Gautam Naik, and Jeff Ward. 2024. Healai: A healthcare llm for effective medical documentation. In Proceedings of the 17th ACM International Conference on Web Search and Data Mining. 1167\u20131168."},{"key":"e_1_2_2_32_1","doi-asserted-by":"crossref","first-page":"e0217387","DOI":"10.1371\/journal.pone.0217387","article-title":"Factors influencing adherence to home-based strength and balance exercises among older adults with mild cognitive impairment and early dementia: Promoting Activity, Independence and Stability in Early Dementia (PrAISED)","volume":"14","author":"Hancox Jennie E","year":"2019","unstructured":"Jennie E Hancox, Veronika van der Wardt, Kristian Pollock, Vicky Booth, Kavita Vedhara, and Rowan H Harwood. 2019. Factors influencing adherence to home-based strength and balance exercises among older adults with mild cognitive impairment and early dementia: Promoting Activity, Independence and Stability in Early Dementia (PrAISED). PloS one 14, 5 (2019), e0217387.","journal-title":"PloS one"},{"key":"e_1_2_2_33_1","doi-asserted-by":"crossref","first-page":"e2448723","DOI":"10.1001\/jamanetworkopen.2024.48723","article-title":"Developing and evaluating large language model-generated emergency medicine handoff notes","volume":"7","author":"Hartman Vince","year":"2024","unstructured":"Vince Hartman, Xinyuan Zhang, Ritika Poddar, Matthew McCarty, Alexander Fortenko, Evan Sholle, Rahul Sharma, Thomas Campion, and Peter AD Steel. 2024. Developing and evaluating large language model-generated emergency medicine handoff notes. JAMA Network Open 7, 12 (2024), e2448723-e2448723.","journal-title":"JAMA Network Open"},{"key":"e_1_2_2_34_1","volume-title":"A simple sequentially rejective multiple test procedure. Scandinavian journal of statistics","author":"Holm Sture","year":"1979","unstructured":"Sture Holm. 1979. A simple sequentially rejective multiple test procedure. Scandinavian journal of statistics (1979), 65\u201370."},{"key":"e_1_2_2_35_1","volume-title":"Lora: low-rank adaptation of large language models. arXiv preprint. arXiv preprint arXiv:2106.09685","author":"Hu Edward J","year":"2021","unstructured":"Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021. Lora: low-rank adaptation of large language models. arXiv preprint. arXiv preprint arXiv:2106.09685 (2021)."},{"key":"e_1_2_2_36_1","volume-title":"Data-efficient alignment of large language models with human feedback through natural language. arXiv preprint arXiv:2311.14543","author":"Jin Di","year":"2023","unstructured":"Di Jin, Shikib Mehri, Devamanyu Hazarika, Aishwarya Padmakumar, Sungjin Lee, Yang Liu, and Mahdi Namazifar. 2023. Data-efficient alignment of large language models with human feedback through natural language. arXiv preprint arXiv:2311.14543 (2023)."},{"key":"e_1_2_2_37_1","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1109\/TBDATA.2019.2921572","article-title":"Billion-scale similarity search with GPUs","volume":"7","author":"Johnson Jeff","year":"2019","unstructured":"Jeff Johnson, Matthijs Douze, and Herv\u00e9 J\u00e9gou. 2019. Billion-scale similarity search with GPUs. IEEE Transactions on Big Data 7, 3 (2019), 535\u2013547.","journal-title":"IEEE Transactions on Big Data"},{"key":"e_1_2_2_38_1","unstructured":"Aishwarya Kamath Johan Ferret Shreya Pathak Nino Vieillard Ramona Merhej Sarah Perrin Tatiana Matejovicova Alexandre Ram\u00e9 Morgane Rivi\u00e8re Louis Rouillard et al. 2025. Gemma 3 technical report. arXiv preprint arXiv:2503.19786 4 (2025)."},{"key":"e_1_2_2_39_1","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1111\/j.1532-5415.1983.tb03391.x","article-title":"Assessing self-maintenance: activities of daily living, mobility, and instrumental activities of daily living","volume":"31","author":"Katz Sidney","year":"1983","unstructured":"Sidney Katz. 1983. Assessing self-maintenance: activities of daily living, mobility, and instrumental activities of daily living. Journal of the American Geriatrics Society 31, 12 (1983), 721\u2013727.","journal-title":"Journal of the American Geriatrics Society"},{"key":"e_1_2_2_40_1","doi-asserted-by":"crossref","first-page":"1070","DOI":"10.1249\/00005768-199408000-00023","article-title":"Muscles, testing and function","volume":"26","author":"Kendall Florence","year":"1994","unstructured":"Florence Kendall, Elizabeth McCreary, and Patricia Provance. 1994. Muscles, testing and function. Medicine and Science in Sports and Exercise 26, 8 (1994), 1070.","journal-title":"Medicine and Science in Sports and Exercise"},{"key":"e_1_2_2_41_1","doi-asserted-by":"crossref","unstructured":"Jihoon Kim Prakyath Kantharaju Hoon Yi Michael Jacobson Hyungkeun Jeong Hojoong Kim Jinwoo Lee Jared Matthews Nathan Zavanelli Hyeonseok Kim et al. 2023. Soft wearable flexible bioelectronics integrated with an ankle-foot exoskeleton for estimation of metabolic costs and physical effort. npj Flexible Electronics 7 1 (2023) 3.","DOI":"10.1038\/s41528-023-00239-2"},{"key":"e_1_2_2_42_1","volume-title":"Health-llm: Large language models for health prediction via wearable sensor data. arXiv preprint arXiv:2401.06866","author":"Kim Yubin","year":"2024","unstructured":"Yubin Kim, Xuhai Xu, Daniel McDuff, Cynthia Breazeal, and Hae Won Park. 2024. Health-llm: Large language models for health prediction via wearable sensor data. arXiv preprint arXiv:2401.06866 (2024)."},{"key":"e_1_2_2_43_1","first-page":"18417","volume-title":"Proceedings of the AAAI conference on artificial intelligence","volume":"38","author":"Kwon Taeyoon","year":"2024","unstructured":"Taeyoon Kwon, Kai Tzu-iunn Ong, Dongjin Kang, Seungjun Moon, Jeong Ryong Lee, Dosik Hwang, Beomseok Sohn, Yongsik Sim, Dongha Lee, and Jinyoung Yeo. 2024. Large language models are clinical reasoners: Reasoning-aware diagnosis framework with prompt-generated rationales. In Proceedings of the AAAI conference on artificial intelligence, Vol. 38.18417-18425."},{"key":"e_1_2_2_44_1","volume-title":"Proceedings of the 2021 CHI conference on human factors in computing systems. 1\u201314","author":"Lee Min Hun","year":"2021","unstructured":"Min Hun Lee, Daniel P Siewiorek, Asim Smailagic, Alexandre Bernardino, and Sergi Berm\u00fadez Berm\u00fadez i Badia. 2021. A human-ai collaborative approach for clinical decision making on rehabilitation assessment. In Proceedings of the 2021 CHI conference on human factors in computing systems. 1\u201314."},{"key":"e_1_2_2_45_1","first-page":"49","article-title":"Engagement enhancement based on bayesian optimization for adaptive assist-as-needed controller","volume":"7","author":"Li Xiao","year":"2021","unstructured":"Xiao Li, Hong Zeng, Jianxi Zhang, and Aiguo Song. 2021. Engagement enhancement based on bayesian optimization for adaptive assist-as-needed controller. IEEE Robotics and Automation Letters 7, 1 (2021), 49\u201356.","journal-title":"IEEE Robotics and Automation Letters"},{"key":"e_1_2_2_46_1","volume-title":"Pacific-Asia Conference on Knowledge Discovery and Data Mining. Springer, 209\u2013221","author":"Li Yizhan","year":"2025","unstructured":"Yizhan Li, Sifan Wu, Christopher Smith, Thomas Lo, and Bang Liu. 2025. Improving clinical note generation from complex doctor-patient conversation. In Pacific-Asia Conference on Knowledge Discovery and Data Mining. Springer, 209\u2013221."},{"key":"e_1_2_2_47_1","volume-title":"International journal of stroke 8, 1","author":"Linder Susan M","year":"2013","unstructured":"Susan M Linder, Anson B Rosenfeldt, Aimee Reiss, Sharon Buchanan, Komal Sahu, Curtis R Bay, Steven L Wolf, and Jay L Alberts. 2013. The home stroke rehabilitation and monitoring system trial: a randomized controlled trial. International journal of stroke 8, 1 (2013), 46\u201353."},{"key":"e_1_2_2_48_1","volume-title":"TherAIssist: Assisting Art Therapy Homework and Client-Practitioner Collaboration through Human-AI Interaction. arXiv preprint arXiv:2502.12443","author":"Liu Di","year":"2025","unstructured":"Di Liu, Jingwen Bai, Zhuoyi Zhang, Yilin Zhang, Zhenhao Zhang, Jian Zhao, and Pengcheng An. 2025. TherAIssist: Assisting Art Therapy Homework and Client-Practitioner Collaboration through Human-AI Interaction. arXiv preprint arXiv:2502.12443 (2025)."},{"key":"e_1_2_2_49_1","volume-title":"BioGPT: generative pre-trained transformer for biomedical text generation and mining. Briefings in bioinformatics 23, 6","author":"Luo Renqian","year":"2022","unstructured":"Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, and Tie-Yan Liu. 2022. BioGPT: generative pre-trained transformer for biomedical text generation and mining. Briefings in bioinformatics 23, 6 (2022), bbac409."},{"key":"e_1_2_2_50_1","unstructured":"Zhaoyang Lv Nicholas Charron Pierre Moulon Alexander Gamino Cheng Peng Chris Sweeney Edward Miller Huixuan Tang Jeff Meissner Jing Dong et al. 2024. Aria everyday activities dataset. arXiv preprint arXiv:2402.13349 (2024)."},{"key":"e_1_2_2_51_1","doi-asserted-by":"crossref","first-page":"109033","DOI":"10.1016\/j.compbiomed.2024.109033","article-title":"A genetic algorithm-based method to modulate the difficulty of serious games along consecutive robot-assisted therapy sessions","volume":"181","author":"Martinez-Pascual David","year":"2024","unstructured":"David Martinez-Pascual, Jos\u00e9 M Catal\u00e1n, Luis D Lled\u00f3, Andrea Blanco-Ivorra, Yolanda Vales, and Nicolas Garcia-Aracil. 2024. A genetic algorithm-based method to modulate the difficulty of serious games along consecutive robot-assisted therapy sessions. Computers in Biology and Medicine 181 (2024), 109033.","journal-title":"Computers in Biology and Medicine"},{"key":"e_1_2_2_52_1","doi-asserted-by":"crossref","first-page":"S50","DOI":"10.1002\/art.11404","article-title":"Measures of adult shoulder function: the American shoulder and elbow surgeons standardized shoulder form patient self-report section (ASES), disabilities of the arm, shoulder, and hand (DASH), shoulder disability questionnaire, shoulder pain and disability index (SPADI), and simple shoulder test","volume":"49","author":"McClure Philip","year":"2003","unstructured":"Philip McClure and Lori Michener. 2003. Measures of adult shoulder function: the American shoulder and elbow surgeons standardized shoulder form patient self-report section (ASES), disabilities of the arm, shoulder, and hand (DASH), shoulder disability questionnaire, shoulder pain and disability index (SPADI), and simple shoulder test. Arthritis Care & Research: Official Journal of the American College of Rheumatology 49, S5 (2003), S50-S58.","journal-title":"Arthritis Care & Research: Official Journal of the American College of Rheumatology"},{"key":"e_1_2_2_53_1","doi-asserted-by":"crossref","first-page":"695","DOI":"10.1111\/j.1532-5415.2005.53221.x","article-title":"The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment","volume":"53","author":"Nasreddine Ziad S","year":"2005","unstructured":"Ziad S Nasreddine, Natalie A Phillips, Val\u00e9rie B\u00e9dirian, Simon Charbonneau, Victor Whitehead, Isabelle Collin, Jeffrey L Cummings, and Howard Chertkow. 2005. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society 53, 4 (2005), 695\u2013699.","journal-title":"Journal of the American Geriatrics Society"},{"key":"e_1_2_2_54_1","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1111\/j.1747-4949.2012.00880.x","article-title":"A systematic review of perceived barriers and motivators to physical activity after stroke","volume":"8","author":"Nicholson Sarah","year":"2013","unstructured":"Sarah Nicholson, Falko F Sniehotta, Frederike Van Wijck, Carolyn A Greig, Marie Johnston, Marion ET McMurdo, Martin Dennis, and Gillian E Mead. 2013. A systematic review of perceived barriers and motivators to physical activity after stroke. International Journal of Stroke 8, 5 (2013), 357\u2013364.","journal-title":"International Journal of Stroke"},{"key":"e_1_2_2_55_1","first-page":"205520762412941","article-title":"Telerehabilitation solutions in patient pathways: An overview of systematic reviews","volume":"10","author":"Nicolas Benoit","year":"2024","unstructured":"Benoit Nicolas, Emilie Leblong, Bastien Fraudet, Philippe Gallien, and Patrice Piette. 2024. Telerehabilitation solutions in patient pathways: An overview of systematic reviews. Digital Health 10 (2024), 20552076241294110.","journal-title":"Digital Health"},{"key":"e_1_2_2_56_1","doi-asserted-by":"crossref","first-page":"627","DOI":"10.1007\/s00415-021-10397-w","article-title":"Telerehabilitation in response to constrained physical distance: an opportunity to rethink neurorehabilitative routines","volume":"269","author":"Nuara Arturo","year":"2022","unstructured":"Arturo Nuara, Maddalena Fabbri-Destro, Emilia Scalona, Stefano Elio Lenzi, Giacomo Rizzolatti, and Pietro Avanzini. 2022. Telerehabilitation in response to constrained physical distance: an opportunity to rethink neurorehabilitative routines. Journal of neurology 269, 2 (2022), 627\u2013638.","journal-title":"Journal of neurology"},{"key":"e_1_2_2_57_1","doi-asserted-by":"crossref","unstructured":"Long Ouyang Jeffrey Wu Xu Jiang Diogo Almeida Carroll Wainwright Pamela Mishkin Chong Zhang Sandhini Agarwal Katarina Slama Alex Ray et al. 2022. Training language models to follow instructions with human feedback. Advances in neural information processing systems 35 (2022) 27730\u201327744.","DOI":"10.52202\/068431-2011"},{"key":"e_1_2_2_58_1","volume-title":"Radialog: A large vision-language model for radiology report generation and conversational assistance. arXiv preprint arXiv:2311.18681","author":"Pellegrini Chantal","year":"2023","unstructured":"Chantal Pellegrini, Ege \u00d6zsoy, Benjamin Busam, Nassir Navab, and Matthias Keicher. 2023. Radialog: A large vision-language model for radiology report generation and conversational assistance. arXiv preprint arXiv:2311.18681 (2023)."},{"key":"e_1_2_2_59_1","volume-title":"Direct preference optimization: Your language model is secretly a reward model. Advances in neural information processing systems 36","author":"Rafailov Rafael","year":"2023","unstructured":"Rafael Rafailov, Archit Sharma, Eric Mitchell, Christopher D Manning, Stefano Ermon, and Chelsea Finn. 2023. Direct preference optimization: Your language model is secretly a reward model. Advances in neural information processing systems 36 (2023), 53728\u201353741."},{"key":"e_1_2_2_60_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3729479","article-title":"CataractBot: an LLM-powered expert-in-the-loop chatbot for cataract patients","volume":"9","author":"Ramjee Pragnya","year":"2025","unstructured":"Pragnya Ramjee, Bhuvan Sachdeva, Satvik Golechha, Shreyas Kulkarni, Geeta Fulari, Kaushik Murali, and Mohit Jain. 2025. CataractBot: an LLM-powered expert-in-the-loop chatbot for cataract patients. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 9, 2 (2025), 1\u201331.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_2_2_61_1","volume-title":"Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining. 1098\u20131099","author":"Rastogi Eti","year":"2025","unstructured":"Eti Rastogi, Sagar Goyal, Fen Zhao, and Dong Yuan. 2025. SpecialtyScribe: Enhancing SOAP note Scribing for Medical Specialties using LLMs. In Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining. 1098\u20131099."},{"key":"e_1_2_2_62_1","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1186\/s13012-024-01357-9","article-title":"Generative AI in healthcare: an implementation science informed translational path on application, integration and governance","volume":"19","author":"Reddy Sandeep","year":"2024","unstructured":"Sandeep Reddy. 2024. Generative AI in healthcare: an implementation science informed translational path on application, integration and governance. Implementation Science 19, 1 (2024), 27.","journal-title":"Implementation Science"},{"key":"e_1_2_2_63_1","volume-title":"An objective and standardized test of hand function. Arch phys med Rehabil 50","author":"Jebsen Rh.","year":"1969","unstructured":"Jebsen Rh. 1969. An objective and standardized test of hand function. Arch phys med Rehabil 50 (1969), 311\u2013319."},{"key":"e_1_2_2_64_1","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1002\/art.1790040403","article-title":"Development of a shoulder pain and disability index","volume":"4","author":"Roach Kathryn E","year":"1991","unstructured":"Kathryn E Roach, Elly Budiman-Mak, Norwarat Songsiridej, and Yongsuk Lertratanakul. 1991. Development of a shoulder pain and disability index. Arthritis & Rheumatism: Official Journal of the American College of Rheumatology 4, 4 (1991), 143\u2013149.","journal-title":"Arthritis & Rheumatism: Official Journal of the American College of Rheumatology"},{"key":"e_1_2_2_65_1","volume-title":"Hand and upper extremity rehabilitation: a practical guide","author":"Saunders Rebecca","unstructured":"Rebecca Saunders, Romina Astifidis, Susan L Burke, James Higgins, and Michael A McClinton. 2015. Hand and upper extremity rehabilitation: a practical guide. Elsevier Health Sciences."},{"key":"e_1_2_2_66_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3419764","article-title":"Bridging the gap between ethics and practice: guidelines for reliable, safe, and trustworthy human-centered AI systems","volume":"10","author":"Shneiderman Ben","year":"2020","unstructured":"Ben Shneiderman. 2020. Bridging the gap between ethics and practice: guidelines for reliable, safe, and trustworthy human-centered AI systems. ACM Transactions on Interactive Intelligent Systems (TiiS) 10, 4 (2020), 1\u201331.","journal-title":"ACM Transactions on Interactive Intelligent Systems (TiiS)"},{"key":"e_1_2_2_67_1","volume-title":"Nathan Scales, Ajay Tanwani, Heather Cole-Lewis, Stephen Pfohl, et al.","author":"Singhal Karan","year":"2023","unstructured":"Karan Singhal, Shekoofeh Azizi, Tao Tu, S Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Tanwani, Heather Cole-Lewis, Stephen Pfohl, et al. 2023. Large language models encode clinical knowledge. Nature 620, 7972 (2023), 172\u2013180."},{"key":"e_1_2_2_68_1","doi-asserted-by":"crossref","first-page":"943","DOI":"10.1038\/s41591-024-03423-7","article-title":"Toward expert-level medical question answering with large language models","volume":"31","author":"Singhal Karan","year":"2025","unstructured":"Karan Singhal, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Mohamed Amin, Le Hou, Kevin Clark, Stephen R Pfohl, Heather Cole-Lewis, et al. 2025. Toward expert-level medical question answering with large language models. Nature Medicine 31, 3 (2025), 943\u2013950.","journal-title":"Nature Medicine"},{"key":"e_1_2_2_69_1","volume-title":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 20848\u201320880","author":"Srinivas Vidya","year":"2025","unstructured":"Vidya Srinivas, Xuhai Xu, Xin Liu, Ayush Kumar, Isaac Galatzer-Levy, Shwetak Patel, Daniel McDuff, and Tim Althoff. 2025. Substance over style: Evaluating proactive conversational coaching agents. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 20848\u201320880."},{"key":"e_1_2_2_70_1","doi-asserted-by":"crossref","first-page":"413","DOI":"10.3233\/AIS-210614","article-title":"Emotion-sensitive voice-casting care robot in rehabilitation using real-time sensing and analysis of biometric information","volume":"13","author":"Sripian Peeraya","year":"2021","unstructured":"Peeraya Sripian, Muhammad Nur Adilin Mohd Anuardi, Teppei Ito, Yoshito Tobe, and Midori Sugaya. 2021. Emotion-sensitive voice-casting care robot in rehabilitation using real-time sensing and analysis of biometric information. Journal of Ambient Intelligence and Smart Environments 13, 6 (2021), 413\u2013431.","journal-title":"Journal of Ambient Intelligence and Smart Environments"},{"key":"e_1_2_2_71_1","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/j.jinf.2023.07.006","article-title":"Artificial intelligence, machine learning and deep learning: Potential resources for the infection clinician","volume":"87","author":"Theodosiou Anastasia A","year":"2023","unstructured":"Anastasia A Theodosiou and Robert C Read. 2023. Artificial intelligence, machine learning and deep learning: Potential resources for the infection clinician. Journal of Infection 87, 4 (2023), 287\u2013294.","journal-title":"Journal of Infection"},{"key":"e_1_2_2_72_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3264947","article-title":"RF-based fall monitoring using convolutional neural networks","volume":"2","author":"Tian Yonglong","year":"2018","unstructured":"Yonglong Tian, Guang-He Lee, Hao He, Chen-Yu Hsu, and Dina Katabi. 2018. RF-based fall monitoring using convolutional neural networks. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2, 3 (2018), 1\u201324.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_2_2_73_1","doi-asserted-by":"crossref","first-page":"922","DOI":"10.1111\/j.1532-5415.1992.tb01992.x","article-title":"The mini-mental state examination: a comprehensive review","volume":"40","author":"Tombaugh Tom N","year":"1992","unstructured":"Tom N Tombaugh and Nancy J McIntyre. 1992. The mini-mental state examination: a comprehensive review. Journal of the American Geriatrics Society 40, 9(1992), 922\u2013935.","journal-title":"Journal of the American Geriatrics Society"},{"key":"e_1_2_2_74_1","unstructured":"Hugo Touvron Louis Martin Kevin Stone Peter Albert Amjad Almahairi Yasmine Babaei Nikolay Bashlykov Soumya Batra Prajjwal Bhargava Shruti Bhosale et al. 2023. Llama 2: Open foundation and fine-tuned chat models. arXiv preprint arXiv:2307.09288 (2023)."},{"key":"e_1_2_2_75_1","volume-title":"Cl\u00e9mentine Fourrier, Nathan Habib, et al.","author":"Tunstall Lewis","year":"2023","unstructured":"Lewis Tunstall, Edward Beeching, Nathan Lambert, Nazneen Rajani, Kashif Rasul, Younes Belkada, Shengyi Huang, Leandro Von Werra, Cl\u00e9mentine Fourrier, Nathan Habib, et al. 2023. Zephyr: Direct distillation of lm alignment. arXiv preprint arXiv:2310.16944 (2023)."},{"key":"e_1_2_2_76_1","doi-asserted-by":"crossref","first-page":"e0220226","DOI":"10.1371\/journal.pone.0220226","article-title":"Factors influencing the implementation of home-based stroke rehabilitation: professionals' perspective","volume":"14","author":"van der Veen Dinja J","year":"2019","unstructured":"Dinja J van der Veen, Carola ME D\u00f6pp, Petra C Siemonsma, Maria WG Nijhuis-van der Sanden, Bert JM de Swart, and Esther M Steultjens. 2019. Factors influencing the implementation of home-based stroke rehabilitation: professionals' perspective. PloS one 14, 7 (2019), e0220226.","journal-title":"PloS one"},{"key":"e_1_2_2_77_1","volume-title":"Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen, Anuj Pareek, Malgorzata Polacin, Eduardo Pontes Reis, Anna Seehofnerova, et al.","author":"Veen Dave Van","year":"2023","unstructured":"Dave Van Veen, Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen, Anuj Pareek, Malgorzata Polacin, Eduardo Pontes Reis, Anna Seehofnerova, et al. 2023. Clinical text summarization: adapting large language models can outperform human experts. Research Square (2023), rs-3."},{"key":"e_1_2_2_78_1","volume-title":"Jie Wang, Zhaoxi Zhang, Zhen Chen, Jinlin Wu, Mobarakol Islam, Hongbin Liu, and Hongliang Ren.","author":"Wang Guankun","year":"2024","unstructured":"Guankun Wang, Long Bai, Wan Jun Nah, Jie Wang, Zhaoxi Zhang, Zhen Chen, Jinlin Wu, Mobarakol Islam, Hongbin Liu, and Hongliang Ren. 2024. Surgical-lvlm: Learning to adapt large vision-language model for grounded visual question answering in robotic surgery. arXiv preprint arXiv:2405.10948 (2024)."},{"key":"e_1_2_2_79_1","doi-asserted-by":"crossref","first-page":"1635","DOI":"10.1161\/01.STR.32.7.1635","article-title":"Assessing Wolf motor function test as outcome measure for research in patients after stroke","volume":"32","author":"Wolf Steven L","year":"2001","unstructured":"Steven L Wolf, Pamela A Catlin, Michael Ellis, Audrey Link Archer, Bryn Morgan, and Aimee Piacentino. 2001. Assessing Wolf motor function test as outcome measure for research in patients after stroke. Stroke 32, 7 (2001), 1635\u20131639.","journal-title":"Stroke"},{"key":"e_1_2_2_80_1","unstructured":"Xi Xiao Yunbei Zhang Thanh-Huy Nguyen Ba-Thinh Lam Janet Wang Lin Zhao Jihun Hamm Tianyang Wang Xingjian Li Xiao Wang et al. 2025. Describe anything in medical images. arXiv preprint arXiv:2505.05804 (2025)."},{"key":"e_1_2_2_81_1","first-page":"1","article-title":"Mental-llm: Leveraging large language models for mental health prediction via online text data","volume":"8","author":"Xu Xuhai","year":"2024","unstructured":"Xuhai Xu, Bingsheng Yao, Yuanzhe Dong, Saadia Gabriel, Hong Yu, James Hendler, Marzyeh Ghassemi, Anind K Dey, and Dakuo Wang. 2024. Mental-llm: Leveraging large language models for mental health prediction via online text data. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8, 1 (2024), 1\u201332.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_2_2_82_1","doi-asserted-by":"crossref","first-page":"e1216","DOI":"10.1002\/ctm2.1216","article-title":"The potential impact of ChatGPT in clinical and translational medicine","volume":"13","author":"Xue Vivian Weiwen","year":"2023","unstructured":"Vivian Weiwen Xue, Pinggui Lei, and William C Cho. 2023. The potential impact of ChatGPT in clinical and translational medicine. Clinical and Translational Medicine 13, 3 (2023), e1216.","journal-title":"Clinical and Translational Medicine"},{"key":"e_1_2_2_83_1","volume-title":"Michael J Proulx, Lambert Mathias, Kiran Somasundaram, Luis Pesqueira, James Fort, Sheroze Sheriffdeen, Omkar Parkhi, et al.","author":"Yang Charig","year":"2025","unstructured":"Charig Yang, Samiul Alam, Shakhrul Iman Siam, Michael J Proulx, Lambert Mathias, Kiran Somasundaram, Luis Pesqueira, James Fort, Sheroze Sheriffdeen, Omkar Parkhi, et al. 2025. Reading Recognition in the Wild. arXiv preprint arXiv:2505.24848 (2025)."},{"key":"e_1_2_2_84_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3659625","article-title":"Talk2care: An llm-based voice assistant for communication between healthcare providers and older adults","volume":"8","author":"Yang Ziqi","year":"2024","unstructured":"Ziqi Yang, Xuhai Xu, Bingsheng Yao, Ethan Rogers, Shao Zhang, Stephen Intille, Nawar Shara, Guodong Gordon Gao, and Dakuo Wang. 2024. Talk2care: An llm-based voice assistant for communication between healthcare providers and older adults. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8, 2 (2024), 1\u201335.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_2_2_85_1","doi-asserted-by":"crossref","unstructured":"Zhen Yang Xutong Zheng Na Hu Fengpei Zhang and Aiping Wang. 2023. \u201cChallenges to Normalcy\u201d-perceived barriers to adherence to home-based cardiac rehabilitation exercise in patients with chronic heart failure. Patient preference and adherence (2023) 3515\u20133524.","DOI":"10.2147\/PPA.S440984"},{"key":"e_1_2_2_86_1","doi-asserted-by":"crossref","first-page":"21382","DOI":"10.1109\/ACCESS.2017.2759801","article-title":"Rule-based human motion tracking for rehabilitation exercises: realtime assessment, feedback, and guidance","volume":"5","author":"Zhao Wenbing","year":"2017","unstructured":"Wenbing Zhao, M Ann Reinthal, Deborah D Espy, and Xiong Luo. 2017. Rule-based human motion tracking for rehabilitation exercises: realtime assessment, feedback, and guidance. IEEE Access 5 (2017), 21382\u201321394.","journal-title":"IEEE Access"}],"container-title":["Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3810235","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T17:16:44Z","timestamp":1781543804000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3810235"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,15]]},"references-count":86,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2026,6,15]]}},"alternative-id":["10.1145\/3810235"],"URL":"https:\/\/doi.org\/10.1145\/3810235","relation":{},"ISSN":["2474-9567"],"issn-type":[{"value":"2474-9567","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,15]]},"assertion":[{"value":"2026-06-15","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}