Title

Care-Chair: Sedentary Activities and Behavior Assessment with Smart Sensing on Chair Backrest

Abstract

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.

Meeting Name

2016 IEEE International Conference on Smart Computing, SMARTCOMP 2016 (2016: May 18-20, St. Louis, MO)

Department(s)

Computer Science

Research Center/Lab(s)

Intelligent Systems Center

Comments

This work was partially supported by the US NSF grants under award numbers IIS-1404673, IIP-1540119, CNS-1355505 and CNS1404677.

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)

978-1-5090-0898-8

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2016 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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