Care-Chair: Sedentary Activities and Behavior Assessment with Smart Sensing on Chair Backrest
A large majority of population spend substantial amount of time each day in sedentary positions, which make the chairs potentially rich source of information and insight about people daily activities and behavior patterns. These information, which often gets under-utilized, can reveal valuable knowledge about the users's wellness level and quality of life. Considering this we have designed Care-Chair, a simple and cost effective smart sensing system with just four pressure sensors on the backrest of a chair, equipped with intelligent data analytics. Our proposed Care-Chair system has been able to classify among large number of 19 fine-grained and complex user sedentary activities. To best of our knowledge this is the first work to detect user functional activities and user emotion based activities (in addition to static and movement based sedentary activities and postures) with just 4 pressure sensors on chair and sensor data analytics. The performance is validated with 5 users combined dataset (thus considering user specific variations) with 86% overall accuracy. Our system is also validated to achieve precise measurement in user breathing rate during relatively static sedentary postures.
R. Kumar et al., "Care-Chair: Sedentary Activities and Behavior Assessment with Smart Sensing on Chair Backrest," Proceedings of the 2016 IEEE International Conference on Smart Computing (2016, St. Louis, MO), Institute of Electrical and Electronics Engineers (IEEE), May 2016.
The definitive version is available at https://doi.org/10.1109/SMARTCOMP.2016.7501682
2016 IEEE International Conference on Smart Computing, SMARTCOMP 2016 (2016: May 18-20, St. Louis, MO)
Intelligent Systems Center
Keywords and Phrases
Pressure sensors; Behavior patterns; Breathing rate; Daily activity; Functional activities; Intelligent data; Overall accuracies; Precise measurements; Quality of life; Cost effectiveness
International Standard Book Number (ISBN)
Article - Conference proceedings
© 2016 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 May 2016