{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,8]],"date-time":"2026-08-08T17:21:31Z","timestamp":1786209691546,"version":"3.56.0"},"publisher-location":"New York, NY, USA","reference-count":104,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,2]],"date-time":"2023-10-02T00:00:00Z","timestamp":1696204800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,10,2]]},"DOI":"10.1145\/3570361.3613286","type":"proceedings-article","created":{"date-parts":[[2023,9,30]],"date-time":"2023-09-30T22:39:36Z","timestamp":1696113576000},"page":"1-16","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":12,"title":["SignQuery: A Natural User Interface and Search Engine for Sign Languages with Wearable Sensors"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7339-9006","authenticated-orcid":false,"given":"Hao","family":"Zhou","sequence":"first","affiliation":[{"name":"The Pennsylvania State University, State College, PA, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9695-3142","authenticated-orcid":false,"given":"Taiting","family":"Lu","sequence":"additional","affiliation":[{"name":"The Pennsylvania State University, State College, United States of America"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-1840-7825","authenticated-orcid":false,"given":"Kristina","family":"Mckinnie","sequence":"additional","affiliation":[{"name":"Gallaudet University, Washington, D.C., USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0588-1604","authenticated-orcid":false,"given":"Joseph","family":"Palagano","sequence":"additional","affiliation":[{"name":"Gallaudet University, Washington, D.C., USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2903-6894","authenticated-orcid":false,"given":"Kenneth","family":"Dehaan","sequence":"additional","affiliation":[{"name":"Gallaudet University, Washington, D.C., USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5325-5013","authenticated-orcid":false,"given":"Mahanth","family":"Gowda","sequence":"additional","affiliation":[{"name":"The Pennsylvania State University, State College, United States of America"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,10,2]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"[n. d.]. How many deaf people are there in United States. https:\/\/research.gallaudet.edu\/Demographics\/deaf-US.php.  [n. d.]. How many deaf people are there in United States. https:\/\/research.gallaudet.edu\/Demographics\/deaf-US.php."},{"key":"e_1_3_2_1_2_1","unstructured":"[n. d.]. Oura Ring: The most accurate sleep and activity tracker. https:\/\/ouraring.com\/.  [n. d.]. Oura Ring: The most accurate sleep and activity tracker. https:\/\/ouraring.com\/."},{"key":"e_1_3_2_1_3_1","unstructured":"2017. Studying Language Acquisition in Deaf Children. https:\/\/www.bu.edu\/articles\/2017\/asl-language-acquisition\/.  2017. Studying Language Acquisition in Deaf Children. https:\/\/www.bu.edu\/articles\/2017\/asl-language-acquisition\/."},{"key":"e_1_3_2_1_4_1","unstructured":"2021. EAGLE (program) - Wikipedia. https:\/\/en.wikipedia.org\/wiki\/EAGLE_(program).  2021. EAGLE (program) - Wikipedia. https:\/\/en.wikipedia.org\/wiki\/EAGLE_(program)."},{"key":"e_1_3_2_1_5_1","unstructured":"2021. Fused filament fabrication - Wikipedia. https:\/\/en.wikipedia.org\/wiki\/Fused_filament_fabrication#Fused_deposition_modeling.  2021. Fused filament fabrication - Wikipedia. https:\/\/en.wikipedia.org\/wiki\/Fused_filament_fabrication#Fused_deposition_modeling."},{"key":"e_1_3_2_1_6_1","unstructured":"2023. ASL Finger Spelling. https:\/\/en.wikipedia.org\/wiki\/American_Sign_Language.  2023. ASL Finger Spelling. https:\/\/en.wikipedia.org\/wiki\/American_Sign_Language."},{"key":"e_1_3_2_1_7_1","unstructured":"2023. ASL Sign for BIKE. https:\/\/www.lifeprint.com\/asl101\/pages-signs\/b\/bicycle.htm.  2023. ASL Sign for BIKE. https:\/\/www.lifeprint.com\/asl101\/pages-signs\/b\/bicycle.htm."},{"key":"e_1_3_2_1_8_1","unstructured":"2023. ASL Sign for EAT. http:\/\/www.lifeprint.com\/asl101\/pages-signs\/e\/eat.htm.  2023. ASL Sign for EAT. http:\/\/www.lifeprint.com\/asl101\/pages-signs\/e\/eat.htm."},{"key":"e_1_3_2_1_9_1","unstructured":"2023. Myo Armband. https:\/\/learn.adafruit.com\/myo-armband-teardown\/inside-myo.  2023. Myo Armband. https:\/\/learn.adafruit.com\/myo-armband-teardown\/inside-myo."},{"key":"e_1_3_2_1_10_1","unstructured":"2023. World Federation of the Deaf. https:\/\/wfdeaf.org\/our-work\/.  2023. World Federation of the Deaf. https:\/\/wfdeaf.org\/our-work\/."},{"key":"e_1_3_2_1_11_1","unstructured":"5DT Data Glove Ultra - 5DT [n. d.]. https:\/\/5dt.com\/5dt-data-glove-ultra\/.  5DT Data Glove Ultra - 5DT [n. d.]. https:\/\/5dt.com\/5dt-data-glove-ultra\/."},{"key":"e_1_3_2_1_12_1","unstructured":"Android Developer 2021. Profile battery usage with Batterystats and Battery Historian. https:\/\/developer.android.com\/topic\/performance\/power\/setup-battery-historian.  Android Developer 2021. Profile battery usage with Batterystats and Battery Historian. https:\/\/developer.android.com\/topic\/performance\/power\/setup-battery-historian."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.572"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00676"},{"key":"e_1_3_2_1_15_1","unstructured":"Benjamin J Bahan. 1997. Non-manual realization of agreement in American Sign Language. (1997).  Benjamin J Bahan. 1997. Non-manual realization of agreement in American Sign Language. (1997)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2017.18391"},{"key":"e_1_3_2_1_17_1","volume-title":"Christine De Mol, and Giovanni Alberto Viano","author":"Bertero Mario","year":"1980","unstructured":"Mario Bertero , Christine De Mol, and Giovanni Alberto Viano . 1980 . The stability of inverse problems. In Inverse scattering problems in optics. Springer , 161--214. Mario Bertero, Christine De Mol, and Giovanni Alberto Viano. 1980. The stability of inverse problems. In Inverse scattering problems in optics. Springer, 161--214."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Yujun Cai Liuhao Ge Jianfei Cai and Junsong Yuan. 2018. Weakly-supervised 3d hand pose estimation from monocular rgb images. In ECCV.  Yujun Cai Liuhao Ge Jianfei Cai and Junsong Yuan. 2018. Weakly-supervised 3d hand pose estimation from monocular rgb images. In ECCV.","DOI":"10.1007\/978-3-030-01231-1_41"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1177\/0013161X16648190"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00812"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01004"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.502"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186070"},{"key":"e_1_3_2_1_24_1","volume-title":"Two-Stream Network for Sign Language Recognition and Translation. arXiv preprint arXiv:2211.01367","author":"Chen Yutong","year":"2022","unstructured":"Yutong Chen , Ronglai Zuo , Fangyun Wei , Yu Wu , Shujie Liu , and Brian Mak . 2022. Two-Stream Network for Sign Language Recognition and Translation. arXiv preprint arXiv:2211.01367 ( 2022 ). Yutong Chen, Ronglai Zuo, Fangyun Wei, Yu Wu, Shujie Liu, and Brian Mak. 2022. Two-Stream Network for Sign Language Recognition and Translation. arXiv preprint arXiv:2211.01367 (2022)."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-81-322-3972-7"},{"key":"e_1_3_2_1_26_1","unstructured":"CyberGlove Systems LLC [n. d.]. http:\/\/www.cyberglovesystems.com\/.  CyberGlove Systems LLC [n. d.]. http:\/\/www.cyberglovesystems.com\/."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2020.2976475"},{"key":"e_1_3_2_1_28_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2018 . Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_1_29_1","volume-title":"Gate-variants of gated recurrent unit (GRU) neural networks. In 2017 IEEE 60th international midwest symposium on circuits and systems (MWSCAS)","author":"Dey Rahul","unstructured":"Rahul Dey and Fathi M Salem . 2017. Gate-variants of gated recurrent unit (GRU) neural networks. In 2017 IEEE 60th international midwest symposium on circuits and systems (MWSCAS) . IEEE , 1597--1600. Rahul Dey and Fathi M Salem. 2017. Gate-variants of gated recurrent unit (GRU) neural networks. In 2017 IEEE 60th international midwest symposium on circuits and systems (MWSCAS). IEEE, 1597--1600."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00957"},{"key":"e_1_3_2_1_31_1","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 14094--14104","author":"Duarte Amanda","year":"2022","unstructured":"Amanda Duarte , Samuel Albanie , Xavier Gir\u00f3-i Nieto , and G\u00fcl Varol . 2022 . Sign language video retrieval with free-form textual queries . In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 14094--14104 . Amanda Duarte, Samuel Albanie, Xavier Gir\u00f3-i Nieto, and G\u00fcl Varol. 2022. Sign language video retrieval with free-form textual queries. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 14094--14104."},{"key":"e_1_3_2_1_32_1","volume-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 2735--2744","author":"Duarte Amanda","year":"2021","unstructured":"Amanda Duarte , Shruti Palaskar , Lucas Ventura , Deepti Ghadiyaram , Kenneth DeHaan , Florian Metze , Jordi Torres , and Xavier Giro-i Nieto . 2021 . How2sign: a large-scale multimodal dataset for continuous american sign language . In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 2735--2744 . Amanda Duarte, Shruti Palaskar, Lucas Ventura, Deepti Ghadiyaram, Kenneth DeHaan, Florian Metze, Jordi Torres, and Xavier Giro-i Nieto. 2021. How2sign: a large-scale multimodal dataset for continuous american sign language. In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 2735--2744."},{"key":"e_1_3_2_1_33_1","volume-title":"cognition, and the brain: Insights from sign language research","author":"Emmorey Karen","unstructured":"Karen Emmorey . 2001. Language , cognition, and the brain: Insights from sign language research . Psychology Press . Karen Emmorey. 2001. Language, cognition, and the brain: Insights from sign language research. Psychology Press."},{"key":"e_1_3_2_1_34_1","unstructured":"Facebook. 2021. Introduce lite interpreter workflow in Android and iOS. \"https:\/\/pytorch.org\/mobile\/android\/\".  Facebook. 2021. Introduce lite interpreter workflow in Android and iOS. \"https:\/\/pytorch.org\/mobile\/android\/\"."},{"key":"e_1_3_2_1_35_1","volume-title":"Jamie Ryan Kiros, and Sanja Fidler","author":"Faghri Fartash","year":"2017","unstructured":"Fartash Faghri , David J Fleet , Jamie Ryan Kiros, and Sanja Fidler . 2017 . Vse++: Improving visual-semantic embeddings with hard negatives. arXiv preprint arXiv:1707.05612 (2017). Fartash Faghri, David J Fleet, Jamie Ryan Kiros, and Sanja Fidler. 2017. Vse++: Improving visual-semantic embeddings with hard negatives. arXiv preprint arXiv:1707.05612 (2017)."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3131672.3131693"},{"key":"e_1_3_2_1_37_1","volume-title":"Proceedings, Part IV 16","author":"Gabeur Valentin","year":"2020","unstructured":"Valentin Gabeur , Chen Sun , Karteek Alahari , and Cordelia Schmid . 2020 . Multi-modal transformer for video retrieval. In Computer Vision-ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020 , Proceedings, Part IV 16 . Springer, 214--229. Valentin Gabeur, Chen Sun, Karteek Alahari, and Cordelia Schmid. 2020. Multi-modal transformer for video retrieval. In Computer Vision-ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part IV 16. Springer, 214--229."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12235"},{"key":"e_1_3_2_1_39_1","volume-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding. arXiv preprint arXiv:1510.00149","author":"Han Song","year":"2015","unstructured":"Song Han , Huizi Mao , and William J Dally . 2015. Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding. arXiv preprint arXiv:1510.00149 ( 2015 ). Song Han, Huizi Mao, and William J Dally. 2015. Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding. arXiv preprint arXiv:1510.00149 (2015)."},{"key":"e_1_3_2_1_40_1","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision. 11303--11312","author":"Hao Aiming","year":"2021","unstructured":"Aiming Hao , Yuecong Min , and Xilin Chen . 2021 . Self-mutual distillation learning for continuous sign language recognition . In Proceedings of the IEEE\/CVF International Conference on Computer Vision. 11303--11312 . Aiming Hao, Yuecong Min, and Xilin Chen. 2021. Self-mutual distillation learning for continuous sign language recognition. In Proceedings of the IEEE\/CVF International Conference on Computer Vision. 11303--11312."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_42_1","volume-title":"Long short-term memory. Neural computation 9, 8","author":"Hochreiter Sepp","year":"1997","unstructured":"Sepp Hochreiter and J\u00fcrgen Schmidhuber . 1997. Long short-term memory. Neural computation 9, 8 ( 1997 ), 1735--1780. Sepp Hochreiter and J\u00fcrgen Schmidhuber. 1997. Long short-term memory. Neural computation 9, 8 (1997), 1735--1780."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3300061.3300117"},{"key":"e_1_3_2_1_44_1","volume-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","author":"Fang","year":"2020","unstructured":"Fang Hu et al. 2020. FingerTrak: Continuous 3D Hand Pose Tracking by Deep Learning Hand Silhouettes Captured by Miniature Thermal Cameras on Wrist . Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies ( 2020 ). Fang Hu et al. 2020. FingerTrak: Continuous 3D Hand Pose Tracking by Deep Learning Hand Silhouettes Captured by Miniature Thermal Cameras on Wrist. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (2020)."},{"key":"e_1_3_2_1_45_1","unstructured":"Adafruit Industries. 2021. Adafruit ICM20X. https:\/\/github.com\/adafruit\/Adafruit_ICM20X.  Adafruit Industries. 2021. Adafruit ICM20X. https:\/\/github.com\/adafruit\/Adafruit_ICM20X."},{"key":"e_1_3_2_1_46_1","unstructured":"Invense. 2021. \"ICM20948\" datasheet [online]. https:\/\/3cfeqx1hf82y3xcoull08ihx-wpengine.netdna-ssl.com\/wp-content\/uploads\/2021\/10\/DS-000189-ICM-20948-v1.5.pdf.  Invense. 2021. \"ICM20948\" datasheet [online]. https:\/\/3cfeqx1hf82y3xcoull08ihx-wpengine.netdna-ssl.com\/wp-content\/uploads\/2021\/10\/DS-000189-ICM-20948-v1.5.pdf."},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"crossref","unstructured":"Umar Iqbal et al. 2018. Hand pose estimation via latent 2.5 d heatmap regression. In ECCV.  Umar Iqbal et al. 2018. Hand pose estimation via latent 2.5 d heatmap regression. In ECCV.","DOI":"10.1007\/978-3-030-01252-6_8"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3463519"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2019.2921572"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445094"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"crossref","unstructured":"David Kim et al. 2012. Digits: freehand 3D interactions anywhere using a wrist-worn gloveless sensor. In ACM UIST.  David Kim et al. 2012. Digits: freehand 3D interactions anywhere using a wrist-worn gloveless sensor. In ACM UIST.","DOI":"10.1145\/2380116.2380139"},{"key":"e_1_3_2_1_52_1","unstructured":"Kinect 2021. Microsoft Kinect2.0. https:\/\/developer.microsoft.com\/en-us\/windows\/kinect.  Kinect 2021. Microsoft Kinect2.0. https:\/\/developer.microsoft.com\/en-us\/windows\/kinect."},{"key":"e_1_3_2_1_53_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_54_1","volume-title":"Quantitative survey of the state of the art in sign language recognition. arXiv preprint arXiv:2008.09918","author":"Koller Oscar","year":"2020","unstructured":"Oscar Koller . 2020. Quantitative survey of the state of the art in sign language recognition. arXiv preprint arXiv:2008.09918 ( 2020 ). Oscar Koller. 2020. Quantitative survey of the state of the art in sign language recognition. arXiv preprint arXiv:2008.09918 (2020)."},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3411841"},{"key":"e_1_3_2_1_56_1","unstructured":"Leap Motion Developer 2012. Leap Motion. https:\/\/developer.leapmotion.com\/.  Leap Motion Developer 2012. Leap Motion. https:\/\/developer.leapmotion.com\/."},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_13"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186150"},{"key":"e_1_3_2_1_59_1","unstructured":"Jiayang Liu et al. 2009. uWave: Accelerometer-based personalized gesture recognition and its applications. Pervasive and Mobile Computing (2009).  Jiayang Liu et al. 2009. uWave: Accelerometer-based personalized gesture recognition and its applications. Pervasive and Mobile Computing (2009)."},{"key":"e_1_3_2_1_60_1","volume-title":"Use what you have: Video retrieval using representations from collaborative experts. arXiv preprint arXiv:1907.13487","author":"Liu Yang","year":"2019","unstructured":"Yang Liu , Samuel Albanie , Arsha Nagrani , and Andrew Zisserman . 2019. Use what you have: Video retrieval using representations from collaborative experts. arXiv preprint arXiv:1907.13487 ( 2019 ). Yang Liu, Samuel Albanie, Arsha Nagrani, and Andrew Zisserman. 2019. Use what you have: Video retrieval using representations from collaborative experts. arXiv preprint arXiv:1907.13487 (2019)."},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1145\/3432208"},{"key":"e_1_3_2_1_62_1","first-page":"1","article-title":"WR-Hand: Wearable Armband Can Track User's Hand","volume":"5","author":"Liu Yang","year":"2021","unstructured":"Yang Liu , Chengdong Lin , and Zhenjiang Li . 2021 . WR-Hand: Wearable Armband Can Track User's Hand . Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5 , 3 (2021), 1 -- 27 . Yang Liu, Chengdong Lin, and Zhenjiang Li. 2021. WR-Hand: Wearable Armband Can Track User's Hand. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, 3 (2021), 1--27.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449890"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/3450268.3453537"},{"key":"e_1_3_2_1_65_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3570613","article-title":"Leveraging the properties of mmwave signals for 3d finger motion tracking for interactive iot applications","volume":"6","author":"Liu Yilin","year":"2022","unstructured":"Yilin Liu , Shijia Zhang , Mahanth Gowda , and Srihari Nelakuditi . 2022 . Leveraging the properties of mmwave signals for 3d finger motion tracking for interactive iot applications . Proceedings of the ACM on Measurement and Analysis of Computing Systems 6 , 3 (2022), 1 -- 28 . Yilin Liu, Shijia Zhang, Mahanth Gowda, and Srihari Nelakuditi. 2022. Leveraging the properties of mmwave signals for 3d finger motion tracking for interactive iot applications. Proceedings of the ACM on Measurement and Analysis of Computing Systems 6, 3 (2022), 1--28.","journal-title":"Proceedings of the ACM on Measurement and Analysis of Computing Systems"},{"key":"e_1_3_2_1_66_1","volume-title":"Learning a text-video embedding from incomplete and heterogeneous data. arXiv preprint arXiv:1804.02516","author":"Miech Antoine","year":"2018","unstructured":"Antoine Miech , Ivan Laptev , and Josef Sivic . 2018. Learning a text-video embedding from incomplete and heterogeneous data. arXiv preprint arXiv:1804.02516 ( 2018 ). Antoine Miech, Ivan Laptev, and Josef Sivic. 2018. Learning a text-video embedding from incomplete and heterogeneous data. arXiv preprint arXiv:1804.02516 (2018)."},{"key":"e_1_3_2_1_67_1","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision. 11542--11551","author":"Min Yuecong","year":"2021","unstructured":"Yuecong Min , Aiming Hao , Xiujuan Chai , and Xilin Chen . 2021 . Visual alignment constraint for continuous sign language recognition . In Proceedings of the IEEE\/CVF International Conference on Computer Vision. 11542--11551 . Yuecong Min, Aiming Hao, Xiujuan Chai, and Xilin Chen. 2021. Visual alignment constraint for continuous sign language recognition. In Proceedings of the IEEE\/CVF International Conference on Computer Vision. 11542--11551."},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"crossref","unstructured":"Franziska Mueller et al. 2018. Ganerated hands for real-time 3d hand tracking from monocular rgb. In IEEE CVPR.  Franziska Mueller et al. 2018. Ganerated hands for real-time 3d hand tracking from monocular rgb. In IEEE CVPR.","DOI":"10.1109\/CVPR.2018.00013"},{"key":"e_1_3_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2321376"},{"key":"e_1_3_2_1_70_1","volume-title":"Fingerio: Using active sonar for fine-grained finger tracking. In ACM CHI.","author":"Rajalakshmi Nandakumar","year":"2016","unstructured":"Rajalakshmi Nandakumar et al. 2016 . Fingerio: Using active sonar for fine-grained finger tracking. In ACM CHI. Rajalakshmi Nandakumar et al. 2016. Fingerio: Using active sonar for fine-grained finger tracking. In ACM CHI."},{"key":"e_1_3_2_1_71_1","unstructured":"Nordic NRF52832 [n. d.]. https:\/\/www.nordicsemi.com\/products\/nrf52832.  Nordic NRF52832 [n. d.]. https:\/\/www.nordicsemi.com\/products\/nrf52832."},{"key":"e_1_3_2_1_72_1","unstructured":"World Health Organization. [n. d.]. Deafness and Hearing Loss. https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/deafness-and-hearing-loss.  World Health Organization. [n. d.]. Deafness and Hearing Loss. https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/deafness-and-hearing-loss."},{"key":"e_1_3_2_1_73_1","unstructured":"Oura Ring 2021. Oura Ring: The most accurate sleep and activity tracker. https:\/\/ouraring.com\/.  Oura Ring 2021. Oura Ring: The most accurate sleep and activity tracker. https:\/\/ouraring.com\/."},{"key":"e_1_3_2_1_74_1","volume-title":"Risq: Recognizing smoking gestures with inertial sensors on a wristband. In ACM MobiSys.","author":"Abhinav Parate","year":"2014","unstructured":"Abhinav Parate et al. 2014 . Risq: Recognizing smoking gestures with inertial sensors on a wristband. In ACM MobiSys. Abhinav Parate et al. 2014. Risq: Recognizing smoking gestures with inertial sensors on a wristband. In ACM MobiSys."},{"key":"e_1_3_2_1_75_1","volume-title":"Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems 32","author":"Paszke Adam","year":"2019","unstructured":"Adam Paszke , Sam Gross , Francisco Massa , Adam Lerer , James Bradbury , Gregory Chanan , Trevor Killeen , Zeming Lin , Natalia Gimelshein , Luca Antiga , 2019 . Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems 32 (2019), 8026--8037. Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al. 2019. Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems 32 (2019), 8026--8037."},{"key":"e_1_3_2_1_76_1","volume-title":"International conference on machine learning. PMLR, 8748--8763","author":"Radford Alec","year":"2021","unstructured":"Alec Radford , Jong Wook Kim , Chris Hallacy , Aditya Ramesh , Gabriel Goh , Sandhini Agarwal , Girish Sastry , Amanda Askell , Pamela Mishkin , Jack Clark , 2021 . Learning transferable visual models from natural language supervision . In International conference on machine learning. PMLR, 8748--8763 . Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al. 2021. Learning transferable visual models from natural language supervision. In International conference on machine learning. PMLR, 8748--8763."},{"key":"e_1_3_2_1_77_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0305000911000535"},{"key":"e_1_3_2_1_78_1","unstructured":"Raytac MDBT42Q-512KV2 Nordic nRF52832 Bluetooth Module [n. d.]. https:\/\/www.raytac.com\/product\/ins.php?index_id=31.  Raytac MDBT42Q-512KV2 Nordic nRF52832 Bluetooth Module [n. d.]. https:\/\/www.raytac.com\/product\/ins.php?index_id=31."},{"key":"e_1_3_2_1_79_1","doi-asserted-by":"crossref","first-page":"109512","DOI":"10.1016\/j.jbiomech.2019.109512","article-title":"Effect on manual skills of wearing instrumented gloves during manipulation","volume":"98","author":"Roda-Sales Alba","year":"2020","unstructured":"Alba Roda-Sales , Joaqu\u00edn L Sancho-Bru , Margarita Vergara , Ver\u00f3nica Gracia-Ib\u00e1\u00f1ez , and N\u00e9stor J Jarque-Bou . 2020 . Effect on manual skills of wearing instrumented gloves during manipulation . Journal of biomechanics 98 (2020), 109512 . Alba Roda-Sales, Joaqu\u00edn L Sancho-Bru, Margarita Vergara, Ver\u00f3nica Gracia-Ib\u00e1\u00f1ez, and N\u00e9stor J Jarque-Bou. 2020. Effect on manual skills of wearing instrumented gloves during manipulation. Journal of biomechanics 98 (2020), 109512.","journal-title":"Journal of biomechanics"},{"key":"e_1_3_2_1_80_1","unstructured":"Serial Peripheral Interface - Wikipedia [n. d.]. https:\/\/en.wikipedia.org\/wiki\/Serial_Peripheral_Interface.  Serial Peripheral Interface - Wikipedia [n. d.]. https:\/\/en.wikipedia.org\/wiki\/Serial_Peripheral_Interface."},{"key":"e_1_3_2_1_81_1","doi-asserted-by":"crossref","unstructured":"Michael Sherman et al. 2014. User-generated free-form gestures for authentication: Security and memorability. In ACM MobiSys.  Michael Sherman et al. 2014. User-generated free-form gestures for authentication: Security and memorability. In ACM MobiSys.","DOI":"10.1145\/2594368.2594375"},{"key":"e_1_3_2_1_82_1","volume-title":"Two decades of recommender systems at Amazon.com. Ieee internet computing 21, 3","author":"Smith Brent","year":"2017","unstructured":"Brent Smith and Greg Linden . 2017. Two decades of recommender systems at Amazon.com. Ieee internet computing 21, 3 ( 2017 ), 12--18. Brent Smith and Greg Linden. 2017. Two decades of recommender systems at Amazon.com. Ieee internet computing 21, 3 (2017), 12--18."},{"key":"e_1_3_2_1_83_1","volume-title":"Congshu Huang, Zhenyu Lei, Benjamin Steeper, Songyun Tao, Feng Tian, and Cheng Zhang.","author":"Sun Wei","year":"2021","unstructured":"Wei Sun , Franklin Mingzhe Li , Congshu Huang, Zhenyu Lei, Benjamin Steeper, Songyun Tao, Feng Tian, and Cheng Zhang. 2021 . ThumbTrak: Recognizing Micro-finger Poses Using a Ring with Proximity Sensing . arXiv preprint arXiv:2105.14680 (2021). Wei Sun, Franklin Mingzhe Li, Congshu Huang, Zhenyu Lei, Benjamin Steeper, Songyun Tao, Feng Tian, and Cheng Zhang. 2021. ThumbTrak: Recognizing Micro-finger Poses Using a Ring with Proximity Sensing. arXiv preprint arXiv:2105.14680 (2021)."},{"key":"e_1_3_2_1_84_1","unstructured":"Ha Thach. 2022. NRF52 BLE for Arduino. https:\/\/github.com\/adafruit\/Adafruit_nRF52_Arduino.  Ha Thach. 2022. NRF52 BLE for Arduino. https:\/\/github.com\/adafruit\/Adafruit_nRF52_Arduino."},{"key":"e_1_3_2_1_85_1","doi-asserted-by":"crossref","unstructured":"Hoang Truong et al. 2018. CapBand: Battery-free Successive Capacitance Sensing Wristband for Hand Gesture Recognition. In ACM SenSys.  Hoang Truong et al. 2018. CapBand: Battery-free Successive Capacitance Sensing Wristband for Hand Gesture Recognition. In ACM SenSys.","DOI":"10.1145\/3274783.3274854"},{"key":"e_1_3_2_1_86_1","doi-asserted-by":"publisher","DOI":"10.1145\/2789168.2790102"},{"key":"e_1_3_2_1_87_1","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 16857--16866","author":"Varol Gul","year":"2021","unstructured":"Gul Varol , Liliane Momeni , Samuel Albanie , Triantafyllos Afouras , and Andrew Zisserman . 2021 . Read and attend: Temporal localisation in sign language videos . In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 16857--16866 . Gul Varol, Liliane Momeni, Samuel Albanie, Triantafyllos Afouras, and Andrew Zisserman. 2021. Read and attend: Temporal localisation in sign language videos. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 16857--16866."},{"key":"e_1_3_2_1_88_1","volume-title":"Attention is all you need. Advances in neural information processing systems 30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan N Gomez , \u0141ukasz Kaiser , and Illia Polosukhin . 2017. Attention is all you need. Advances in neural information processing systems 30 ( 2017 ). Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_1_89_1","unstructured":"Stefan Wager Sida Wang and Percy S Liang. 2013. Dropout training as adaptive regularization. In Advances in neural information processing systems. 351--359.  Stefan Wager Sida Wang and Percy S Liang. 2013. Dropout training as adaptive regularization. In Advances in neural information processing systems. 351--359."},{"key":"e_1_3_2_1_90_1","first-page":"2398","article-title":"Hear sign language: A real-time end-to-end sign language recognition system","volume":"21","author":"Wang Zhibo","year":"2020","unstructured":"Zhibo Wang , Tengda Zhao , Jinxin Ma , Hongkai Chen , Kaixin Liu , Huajie Shao , Qian Wang , and Ju Ren . 2020 . Hear sign language: A real-time end-to-end sign language recognition system . IEEE Transactions on Mobile Computing 21 , 7 (2020), 2398 -- 2410 . Zhibo Wang, Tengda Zhao, Jinxin Ma, Hongkai Chen, Kaixin Liu, Huajie Shao, Qian Wang, and Ju Ren. 2020. Hear sign language: A real-time end-to-end sign language recognition system. IEEE Transactions on Mobile Computing 21, 7 (2020), 2398--2410.","journal-title":"IEEE Transactions on Mobile Computing"},{"key":"e_1_3_2_1_91_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-demos.6"},{"key":"e_1_3_2_1_92_1","doi-asserted-by":"publisher","DOI":"10.1145\/3379337.3415897"},{"key":"e_1_3_2_1_93_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_1"},{"key":"e_1_3_2_1_94_1","volume-title":"Andrew L Beam, and Isaac S Kohane","author":"Yu Kun-Hsing","year":"2018","unstructured":"Kun-Hsing Yu , Andrew L Beam, and Isaac S Kohane . 2018 . Artificial intelligence in healthcare. Nature biomedical engineering 2, 10 (2018), 719--731. Kun-Hsing Yu, Andrew L Beam, and Isaac S Kohane. 2018. Artificial intelligence in healthcare. Nature biomedical engineering 2, 10 (2018), 719--731."},{"key":"e_1_3_2_1_95_1","doi-asserted-by":"crossref","unstructured":"Cheng Zhang et al. 2018. FingerPing: Recognizing Fine-grained Hand Poses using Active Acoustic On-body Sensing. In ACM CHI.  Cheng Zhang et al. 2018. FingerPing: Recognizing Fine-grained Hand Poses using Active Acoustic On-body Sensing. In ACM CHI.","DOI":"10.1145\/3173574.3174011"},{"key":"e_1_3_2_1_96_1","volume-title":"Mediapipe hands: On-device real-time hand tracking. arXiv preprint arXiv:2006.10214","author":"Zhang Fan","year":"2020","unstructured":"Fan Zhang , Valentin Bazarevsky , Andrey Vakunov , Andrei Tkachenka , George Sung , Chuo-Ling Chang , and Matthias Grundmann . 2020. Mediapipe hands: On-device real-time hand tracking. arXiv preprint arXiv:2006.10214 ( 2020 ). Fan Zhang, Valentin Bazarevsky, Andrey Vakunov, Andrei Tkachenka, George Sung, Chuo-Ling Chang, and Matthias Grundmann. 2020. Mediapipe hands: On-device real-time hand tracking. arXiv preprint arXiv:2006.10214 (2020)."},{"key":"e_1_3_2_1_97_1","doi-asserted-by":"publisher","DOI":"10.1145\/3550306"},{"key":"e_1_3_2_1_98_1","doi-asserted-by":"publisher","DOI":"10.1145\/3301275.3302296"},{"key":"e_1_3_2_1_99_1","volume-title":"Deep learning based recommender system: A survey and new perspectives. ACM computing surveys (CSUR) 52, 1","author":"Zhang Shuai","year":"2019","unstructured":"Shuai Zhang , Lina Yao , Aixin Sun , and Yi Tay . 2019. Deep learning based recommender system: A survey and new perspectives. ACM computing surveys (CSUR) 52, 1 ( 2019 ), 1--38. Shuai Zhang, Lina Yao, Aixin Sun, and Yi Tay. 2019. Deep learning based recommender system: A survey and new perspectives. ACM computing surveys (CSUR) 52, 1 (2019), 1--38."},{"key":"e_1_3_2_1_100_1","doi-asserted-by":"publisher","DOI":"10.1145\/3576842.3582382"},{"key":"e_1_3_2_1_101_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3534587","article-title":"Learning on the Rings: Self-Supervised 3D Finger Motion Tracking Using Wearable Sensors","volume":"6","author":"Zhou Hao","year":"2022","unstructured":"Hao Zhou , Taiting Lu , Yilin Liu , Shijia Zhang , and Mahanth Gowda . 2022 . Learning on the Rings: Self-Supervised 3D Finger Motion Tracking Using Wearable Sensors . Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6 , 2 (2022), 1 -- 31 . Hao Zhou, Taiting Lu, Yilin Liu, Shijia Zhang, and Mahanth Gowda. 2022. Learning on the Rings: Self-Supervised 3D Finger Motion Tracking Using Wearable Sensors. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, 2 (2022), 1--31.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_3_2_1_102_1","doi-asserted-by":"publisher","DOI":"10.1145\/3576842.3582382"},{"key":"e_1_3_2_1_103_1","doi-asserted-by":"crossref","unstructured":"Pengfei Zhou et al. 2014. Use it free: Instantly knowing your phone attitude. In ACM MobiCom.  Pengfei Zhou et al. 2014. Use it free: Instantly knowing your phone attitude. In ACM MobiCom.","DOI":"10.1145\/2639108.2639110"},{"key":"e_1_3_2_1_104_1","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 5131--5140","author":"Zuo Ronglai","year":"2022","unstructured":"Ronglai Zuo and Brian Mak . 2022 . C2SLR: Consistency-enhanced continuous sign language recognition . In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 5131--5140 . Ronglai Zuo and Brian Mak. 2022. C2SLR: Consistency-enhanced continuous sign language recognition. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 5131--5140."}],"event":{"name":"ACM MobiCom '23: 29th Annual International Conference on Mobile Computing and Networking","location":"Madrid Spain","acronym":"ACM MobiCom '23","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing"]},"container-title":["Proceedings of the 29th Annual International Conference on Mobile Computing and Networking"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3570361.3613286","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:28Z","timestamp":1750182568000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3570361.3613286"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,2]]},"references-count":104,"alternative-id":["10.1145\/3570361.3613286","10.1145\/3570361"],"URL":"https:\/\/doi.org\/10.1145\/3570361.3613286","relation":{},"subject":[],"published":{"date-parts":[[2023,10,2]]},"assertion":[{"value":"2023-10-02","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}