A Deep Learning Based Human Fall Detection Solution

Author:

Tohidypour Hamid Reza1,Shojaei-Hashemi Anahita1,Nasiopoulos Panos1,Pourazad Mahsa T.2

Affiliation:

1. University of British Columbia, Canada

2. TELUS Communications, Canada and University of British Columbia, Canada

Publisher

ACM

Reference9 articles.

1. Vera Gruessner. 2015. The History of Remote Monitoring Telemedicine Technology. [Online]. Available: https://mhealthintelligence.com/news/the-history-of-remote-monitoring-telemedicine-technology. Vera Gruessner. 2015. The History of Remote Monitoring Telemedicine Technology. [Online]. Available: https://mhealthintelligence.com/news/the-history-of-remote-monitoring-telemedicine-technology.

2. Liming Chen and Ismail Khalil . 2011. Activity recognition: Approaches, practices and trends . in Activity Recognition in Pervasive Intelligent Environments , Atlantis Press , 1-31, DOI:10.2991/978-94-91216-05-3_1. 10.2991/978-94-91216-05-3_1 Liming Chen and Ismail Khalil. 2011. Activity recognition: Approaches, practices and trends. in Activity Recognition in Pervasive Intelligent Environments, Atlantis Press, 1-31, DOI:10.2991/978-94-91216-05-3_1.

3. Erik E. Stone and Marjorie Skubic . 2015 . Fall detection in homes of older adults using the Microsoft Kinect. IEEE journal of biomedical and health informatics, 19, 1, 290-301, DOI: 10.1109/JBHI.2014.2312180. 10.1109/JBHI.2014.2312180 Erik E. Stone and Marjorie Skubic. 2015. Fall detection in homes of older adults using the Microsoft Kinect. IEEE journal of biomedical and health informatics, 19, 1, 290-301, DOI: 10.1109/JBHI.2014.2312180.

4. Ming Zeng , Le T. Nguyen , Bo Yu , Ole J. Mengshoel , Jiang Zhu , Pang Wu , Joy Zhang . 2014. Convolutional neural networks for human activity recognition using mobile sensors," in 6th International Conference on Mobile Computing, Applications and Services (MobiCASE) . http://dx.doi.org/10.4108/icst.mobicase.2014.257786. 10.4108/icst.mobicase.2014.257786 Ming Zeng, Le T. Nguyen, Bo Yu, Ole J. Mengshoel, Jiang Zhu, Pang Wu, Joy Zhang. 2014. Convolutional neural networks for human activity recognition using mobile sensors," in 6th International Conference on Mobile Computing, Applications and Services (MobiCASE). http://dx.doi.org/10.4108/icst.mobicase.2014.257786.

5. Xinguo Yu . 2008 . Approaches and principles of fall detection for elderly and patient . In proceedings of HealthCom 2008 - 10th International Conference on e-health Networking, Applications and Services. DOI: 10 .1109/HEALTH.2008.4600107, 10.1109/HEALTH.2008.4600107 Xinguo Yu. 2008. Approaches and principles of fall detection for elderly and patient. In proceedings of HealthCom 2008 - 10th International Conference on e-health Networking, Applications and Services. DOI: 10.1109/HEALTH.2008.4600107,

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1. Video Situation Monitoring to Improve Quality of Life;New Trends in Database and Information Systems;2023

2. A Security-Centric Deep Learning Enabled Camera Solution for Real-Time Human Fall Detection;2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob);2022-10-10

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