Cited By
View all- LI YCHU ZXIN Y(2020)Posture Recognition Technology Based on KinectIEICE Transactions on Information and Systems10.1587/transinf.2019EDP7221E103.D:3(621-630)Online publication date: 1-Mar-2020
Falls and Fainting Detection at Home through Movement-Based Interaction
Authors: 
Alejandro López Cardo, 
Victor M. R. Penichet, 
María D. Lozano, Juan Enrique GarridoAuthors Info & Claims
Alejandro López Cardo, Victor M. R. Penichet, María D. Lozano, Juan Enrique GarridoAuthors Info & ClaimsArticle No.: 28, Pages 1 - 2
Abstract
More and more elderly people live now alone. They need to be quickly attended in case of fall or fainting. This paper brings a software system to automatically detect this kind of situations at home. It is a practical solution to get in touch those old people living alone with their family in case of such dangerous situation. Familiars would receive notifications in their mobile phone in the same way that they receive notifications for many other matters. The main system use a Kinect v2 to monitor every movement of the person at home. Just when the internal algorithms detects the possible troubles, familiars are notified even with a piece of video to check possible false positives.
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Garrido, J. E.; Penichet, V. M. R.; Lozano, M. D. & Valls, J. A. F. (2013), 'Automatic Detection of Falls and Fainting.', J. UCS19 (8), 1105--1122.
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September 2018
232 pages
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 12 September 2018
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Interacción 2018
Interacción 2018: XIX International Conference on Human Computer Interaction
September 12 - 14, 2018
Palma, Spain
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Interacción '18 Paper Acceptance Rate 47 of 73 submissions, 64%;
Overall Acceptance Rate 109 of 163 submissions, 67%
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View all- LI YCHU ZXIN Y(2020)Posture Recognition Technology Based on KinectIEICE Transactions on Information and Systems10.1587/transinf.2019EDP7221E103.D:3(621-630)Online publication date: 1-Mar-2020
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