{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:18:06Z","timestamp":1750220286987,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,2,18]],"date-time":"2022-02-18T00:00:00Z","timestamp":1645142400000},"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":[[2022,2,18]]},"DOI":"10.1145\/3529836.3529862","type":"proceedings-article","created":{"date-parts":[[2022,6,21]],"date-time":"2022-06-21T20:27:55Z","timestamp":1655843275000},"page":"555-559","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["AFAR: A Real-Time Vision-based Activity Monitoring and Fall Detection Framework using 1D Convolutional Neural Networks"],"prefix":"10.1145","author":[{"given":"Jessie James Profeta","family":"Suarez","sequence":"first","affiliation":[{"name":"University of the Philippines, Diliman, Department of Computer Science, Philippines"}]},{"given":"Nathaniel","family":"Orillaza","sequence":"additional","affiliation":[{"name":"University of the Philippines, Manila, College of Medicine, Philippines"}]},{"given":"Prospero","family":"Naval","sequence":"additional","affiliation":[{"name":"University of the Philippines, Diliman, Department of Computer Science, Philippines"}]}],"member":"320","published-online":{"date-parts":[[2022,6,21]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"3830","article-title":"Modified deep learning method for body postures recognition","volume":"29","author":"M\u00a0Salih Abedi Wafaa","year":"2020","unstructured":"Wafaa M\u00a0Salih Abedi , Dr Ibraheem\u00a0Nadher , and Ahmed\u00a0 T Sadiq . 2020 . Modified deep learning method for body postures recognition . International Journal of Advanced Science and Technology 29 (2020), 3830 \u2013 3841 . Wafaa M\u00a0Salih Abedi, Dr Ibraheem\u00a0Nadher, and Ahmed\u00a0T Sadiq. 2020. Modified deep learning method for body postures recognition. International Journal of Advanced Science and Technology 29 (2020), 3830\u20133841.","journal-title":"International Journal of Advanced Science and Technology"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.23919\/MVA.2017.7986795"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2016.2570300"},{"key":"e_1_3_2_1_4_1","unstructured":"Valentin Bazarevsky Ivan Grishchenko Karthik Raveendran Tyler Zhu Fan Zhang and Matthias Grundmann. 2020. BlazePose: On-device Real-time Body Pose tracking. arXiv preprint arXiv:2006.10204(2020).  Valentin Bazarevsky Ivan Grishchenko Karthik Raveendran Tyler Zhu Fan Zhang and Matthias Grundmann. 2020. BlazePose: On-device Real-time Body Pose tracking. arXiv preprint arXiv:2006.10204(2020)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/GCCE.2017.8229325"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12877-018-0945-6"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2978249"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.22266\/ijies2020.0430.24"},{"key":"e_1_3_2_1_9_1","volume-title":"A vision-based approach for fall detection using multiple cameras and convolutional neural networks: A case study using the UP-Fall detection dataset. Computers in Biology and Medicine 115 (Dec","author":"Espinosa Ricardo","year":"2019","unstructured":"Ricardo Espinosa , Hiram Ponce , Sebastian Gutierrez , Lourdes Mart\u00ednez-Villasenor , Jorge Brieva , and Ernesto Moya-Albor . 2019. A vision-based approach for fall detection using multiple cameras and convolutional neural networks: A case study using the UP-Fall detection dataset. Computers in Biology and Medicine 115 (Dec 2019 ), 103520. https:\/\/doi.org\/10.1016\/j.compbiomed.2019.103520 Ricardo Espinosa, Hiram Ponce, Sebastian Gutierrez, Lourdes Mart\u00ednez-Villasenor, Jorge Brieva, and Ernesto Moya-Albor. 2019. A vision-based approach for fall detection using multiple cameras and convolutional neural networks: A case study using the UP-Fall detection dataset. Computers in Biology and Medicine 115 (Dec 2019), 103520. https:\/\/doi.org\/10.1016\/j.compbiomed.2019.103520"},{"key":"e_1_3_2_1_10_1","volume-title":"Spatio-temporal fall event detection in complex scenes using attention guided LSTM. Pattern Recognition Letters 130 (Feb","author":"Feng Qi","year":"2020","unstructured":"Qi Feng , Chenqiang Gao , Lan Wang , Yue Zhao , Tiecheng Song , and Qiang Li. 2020. Spatio-temporal fall event detection in complex scenes using attention guided LSTM. Pattern Recognition Letters 130 (Feb . 2020 ), 242\u2013249. https:\/\/doi.org\/10.1016\/j.patrec.2018.08.031 Qi Feng, Chenqiang Gao, Lan Wang, Yue Zhao, Tiecheng Song, and Qiang Li. 2020. Spatio-temporal fall event detection in complex scenes using attention guided LSTM. Pattern Recognition Letters 130 (Feb. 2020), 242\u2013249. https:\/\/doi.org\/10.1016\/j.patrec.2018.08.031"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2962778"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/MIM.2017.8121952"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2020.107398"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.3390\/app8060984"},{"key":"e_1_3_2_1_15_1","volume-title":"Vision-Based Detection of Unusual Patient Activity. Studies in Health Technology and Informatics 168","author":"Paulo\u00a0Vinicius Koerich Borges","year":"2011","unstructured":"Borges Paulo\u00a0Vinicius Koerich and Nourani-Vatani Navid . 2011. Vision-Based Detection of Unusual Patient Activity. Studies in Health Technology and Informatics 168 , Health Informatics : The Transformative Power of Innovation ( 2011 ), 16\u201323. https:\/\/doi.org\/10.3233\/978-1-60750-791-8-16 Borges Paulo\u00a0Vinicius Koerich and Nourani-Vatani Navid. 2011. Vision-Based Detection of Unusual Patient Activity. Studies in Health Technology and Informatics 168, Health Informatics: The Transformative Power of Innovation (2011), 16\u201323. https:\/\/doi.org\/10.3233\/978-1-60750-791-8-16"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2019.01.024"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2014.09.005"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.3390\/app11010329"},{"key":"e_1_3_2_1_19_1","volume-title":"Mediapipe: A framework for building perception pipelines. arXiv preprint arXiv:1906.08172(2019).","author":"Lugaresi Camillo","year":"2019","unstructured":"Camillo Lugaresi , Jiuqiang Tang , Hadon Nash , Chris McClanahan , Esha Uboweja , Michael Hays , Fan Zhang , Chuo-Ling Chang , Ming\u00a0Guang Yong , Juhyun Lee , 2019 . Mediapipe: A framework for building perception pipelines. arXiv preprint arXiv:1906.08172(2019). Camillo Lugaresi, Jiuqiang Tang, Hadon Nash, Chris McClanahan, Esha Uboweja, Michael Hays, Fan Zhang, Chuo-Ling Chang, Ming\u00a0Guang Yong, Juhyun Lee, 2019. Mediapipe: A framework for building perception pipelines. arXiv preprint arXiv:1906.08172(2019)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.3390\/s17051100"},{"key":"e_1_3_2_1_21_1","first-page":"9","article-title":"UP-Fall Detection Dataset","volume":"19","author":"Mart\u00ednez-Villase\u00f1or Lourdes","year":"2019","unstructured":"Lourdes Mart\u00ednez-Villase\u00f1or , Hiram Ponce , Jorge Brieva , Ernesto Moya-Albor , Jos\u00e9 N\u00fa\u00f1ez-Mart\u00ednez , and Carlos Pe\u00f1afort-Asturiano . 2019 . UP-Fall Detection Dataset : A Multimodal Approach. Sensors 19 , 9 (Apr 2019), 1988. https:\/\/doi.org\/10.3390\/s19091988 Lourdes Mart\u00ednez-Villase\u00f1or, Hiram Ponce, Jorge Brieva, Ernesto Moya-Albor, Jos\u00e9 N\u00fa\u00f1ez-Mart\u00ednez, and Carlos Pe\u00f1afort-Asturiano. 2019. UP-Fall Detection Dataset: A Multimodal Approach. Sensors 19, 9 (Apr 2019), 1988. https:\/\/doi.org\/10.3390\/s19091988","journal-title":"A Multimodal Approach. Sensors"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2016.7738021"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/9474806"},{"key":"e_1_3_2_1_24_1","unstructured":"World\u00a0Health Organization. 2021. Falls. https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/falls.  World\u00a0Health Organization. 2021. Falls. https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/falls."},{"volume-title":"From Telediagnosis to Teletreatment","author":"Qazi Sahar","key":"e_1_3_2_1_25_1","unstructured":"Sahar Qazi , Khushnuma Tanveer , Khalid ElBahnasy , and Khalid Raza . 2019. From Telediagnosis to Teletreatment . Elsevier , 153\u2013169. https:\/\/doi.org\/10.1016\/b978-0-12-816948-3.00010-6 Sahar Qazi, Khushnuma Tanveer, Khalid ElBahnasy, and Khalid Raza. 2019. From Telediagnosis to Teletreatment. Elsevier, 153\u2013169. https:\/\/doi.org\/10.1016\/b978-0-12-816948-3.00010-6"},{"key":"e_1_3_2_1_26_1","first-page":"2","article-title":"Vision-based patient monitoring: a comprehensive review of algorithms and technologies","volume":"9","author":"Sathyanarayana Supriya","year":"2015","unstructured":"Supriya Sathyanarayana , Ravi\u00a0Kumar Satzoda , Suchitra Sathyanarayana , and Srikanthan Thambipillai . 2015 . Vision-based patient monitoring: a comprehensive review of algorithms and technologies . Journal of Ambient Intelligence and Humanized Computing 9 , 2 (Nov 2015), 225\u2013251. https:\/\/doi.org\/10.1007\/s12652-015-0328-1 Supriya Sathyanarayana, Ravi\u00a0Kumar Satzoda, Suchitra Sathyanarayana, and Srikanthan Thambipillai. 2015. Vision-based patient monitoring: a comprehensive review of algorithms and technologies. Journal of Ambient Intelligence and Humanized Computing 9, 2 (Nov 2015), 225\u2013251. https:\/\/doi.org\/10.1007\/s12652-015-0328-1","journal-title":"Journal of Ambient Intelligence and Humanized Computing"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph16193697"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"James\u00a0E. Szalados. 2014. Regulatory Legal and Liability Issues Pertaining to Transesophageal Echocardiography. Elsevier 329\u2013339. https:\/\/doi.org\/10.1016\/b978-1-4557-0761-4.00032-3  James\u00a0E. Szalados. 2014. Regulatory Legal and Liability Issues Pertaining to Transesophageal Echocardiography. Elsevier 329\u2013339. https:\/\/doi.org\/10.1016\/b978-1-4557-0761-4.00032-3","DOI":"10.1016\/B978-1-4557-0761-4.00032-3"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-015-2698-y"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjmed.2013.09.032"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICMIC.2016.7804195"},{"key":"e_1_3_2_1_32_1","volume-title":"Association of Loneliness With Falls: A Study of Older US Adults Using the National Social Life, Health, and Aging Project. Gerontology and Geriatric Medicine 7 (Jan","author":"Zeytinoglu Meltem","year":"2021","unstructured":"Meltem Zeytinoglu , Kristen\u00a0 E. Wroblewski , Tamara\u00a0 J. Vokes , Megan Huisingh-Scheetz , Louise\u00a0 C. Hawkley , and Elbert\u00a0 S. Huang . 2021. Association of Loneliness With Falls: A Study of Older US Adults Using the National Social Life, Health, and Aging Project. Gerontology and Geriatric Medicine 7 (Jan . 2021 ), 233372142198921. https:\/\/doi.org\/10.1177\/2333721421989217 Meltem Zeytinoglu, Kristen\u00a0E. Wroblewski, Tamara\u00a0J. Vokes, Megan Huisingh-Scheetz, Louise\u00a0C. Hawkley, and Elbert\u00a0S. Huang. 2021. Association of Loneliness With Falls: A Study of Older US Adults Using the National Social Life, Health, and Aging Project. Gerontology and Geriatric Medicine 7 (Jan. 2021), 233372142198921. https:\/\/doi.org\/10.1177\/2333721421989217"}],"event":{"name":"ICMLC 2022: 2022 14th International Conference on Machine Learning and Computing","acronym":"ICMLC 2022","location":"Guangzhou China"},"container-title":["2022 14th International Conference on Machine Learning and Computing (ICMLC)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3529836.3529862","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3529836.3529862","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:31:25Z","timestamp":1750188685000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3529836.3529862"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,18]]},"references-count":32,"alternative-id":["10.1145\/3529836.3529862","10.1145\/3529836"],"URL":"https:\/\/doi.org\/10.1145\/3529836.3529862","relation":{},"subject":[],"published":{"date-parts":[[2022,2,18]]},"assertion":[{"value":"2022-06-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}