{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,21]],"date-time":"2024-09-21T04:22:11Z","timestamp":1726892531442},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685380","type":"print"},{"value":"9781643685397","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,9,18]]},"abstract":"<jats:p>In recent years, falls among the elderly have become a critical healthcare concern worldwide. There is more and more research every day to find ways to detect falls early, hence reducing the associated risks and improving the quality of life. Many published datasets are used to create fall detection models. However, there is still room for improvement when the datasets often face an imbalance and a lack of diversity. To solve this problem, a new dataset has been built for the fall detection problem, namely ViFam in the hope of contributing to creating a better model for fall detection. In this work, the built dataset is used for two problems: fall detection and activity recognition. They are experimented to evaluate the performance of 6 models: CNN, ResNet, ViT, 3D-CNN, and Mixture of Experts with 5 and 6 experts. Ultimately, 3D-CNN achieved the best results, with all metrics reaching higher than 0.99 for both problems. We aim to publish this dataset to contribute to the recent research on the fall detection problem.<\/jats:p>","DOI":"10.3233\/faia240380","type":"book-chapter","created":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T07:57:29Z","timestamp":1726819049000},"source":"Crossref","is-referenced-by-count":0,"title":["ViFam: A New Dataset for Fall Detection Problem and Overall Analysis"],"prefix":"10.3233","author":[{"given":"Thao V.","family":"Ha","sequence":"first","affiliation":[{"name":"Faculty of Mathematics and Computer Science, University of Science, Ho Chi Minh City, Vietnam"},{"name":"Vietnam National University, Ho Chi Minh City, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Quynh T.N.","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Faculty of Mathematics and Computer Science, University of Science, Ho Chi Minh City, Vietnam"},{"name":"Vietnam National University, Ho Chi Minh City, Vietnam"},{"name":"AISIA Research Lab, Ho Chi Minh City, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dung V.","family":"Huynh","sequence":"additional","affiliation":[{"name":"Faculty of Mathematics and Computer Science, University of Science, Ho Chi Minh City, Vietnam"},{"name":"Vietnam National University, Ho Chi Minh City, Vietnam"},{"name":"AISIA Research Lab, Ho Chi Minh City, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huy Q.","family":"Truong","sequence":"additional","affiliation":[{"name":"Faculty of Mathematics and Computer Science, University of Science, Ho Chi Minh City, Vietnam"},{"name":"Vietnam National University, Ho Chi Minh City, Vietnam"},{"name":"AISIA Research Lab, Ho Chi Minh City, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Quang C.","family":"Tran","sequence":"additional","affiliation":[{"name":"Faculty of Mathematics and Computer Science, University of Science, Ho Chi Minh City, Vietnam"},{"name":"Vietnam National University, Ho Chi Minh City, Vietnam"},{"name":"AISIA Research Lab, Ho Chi Minh City, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hien D.","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Vietnam National University, Ho Chi Minh City, Vietnam"},{"name":"University of Information Technology, Ho Chi Minh City, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Binh T.","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Faculty of Mathematics and Computer Science, University of Science, Ho Chi Minh City, Vietnam"},{"name":"Vietnam National University, Ho Chi Minh City, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","New Trends in Intelligent Software Methodologies, Tools and Techniques"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA240380","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T07:57:30Z","timestamp":1726819050000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA240380"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,18]]},"ISBN":["9781643685380","9781643685397"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia240380","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9,18]]}}}