|Title:||Collaborative sensing for privacy preserving gait tracking using IoT Middleware||Authors:||Shih, Chi Sheng
Wang, Tim Yuao
Chou, Jyun Jhe
Chuang, Ze Yu
Chuang, Ching Chi
Lin, Kwei Jay
Huang, Kuo Chin
|Keywords:||Computer Communication Networks | Computer Systems Organization | Internetworking||Issue Date:||20-Sep-2017||Journal Volume:||2017-January||Source:||Proceedings of the 2017 Research in Adaptive and Convergent Systems, RACS 2017||Abstract:||
© 2017 Association for Computing Machinery. Gait velocity has become a valid and important metric for senior populations. However, existing approaches to measure gait velocity are either limited to specific location or too expensive to be applied. IoT middleware allows the systems to collect data in a large space in a collaborative manner. However, it is a great challenge of integrating large numbers of low-cost devices to accomplish the task. This paper presents the design, implementation, and findings of using low-cost thermal sensors to monitor the activity index in home environment. The system is built on top of WuKong middleware. The evaluation results show that the system can measure the gait velocity with negligible errors. When the parameters for noise filtering are correctly configured, the F-Score of the heat source detection can achieve 0.99.
|Appears in Collections:||醫學教育暨生醫倫理學科所|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.