Remote Monitoring Using Smartphone Based Plantar Pressure Sensors: Unimodal and Multimodal Activity Detection

Document Type

Conference Proceeding

Language

eng

Format of Original

9 p.

Publication Date

6-2014

Publisher

Springer

Source Publication

Smart Homes and Health Telematics

Source ISSN

978-3-319-14423-8

Original Item ID

doi: 10.1007/978-3-319-14424-5_15

Abstract

Automatic activity detection is important for remote monitoring of elderly people or patients, for context-aware applications, or simply to measure one’s activity level. Recent studies have started to use accelerometers of smart phones. Such systems require users to carry smart phones with them which limit the practical usability of these systems as people place their phones in various locations depending on situation, activity, location, culture and gender. We developed a prototype for shoe based activity detection system that uses pressure data of shoe and showed how this can be used for remote monitoring. We also developed a multimodal system where we used pressure sensor data from shoes along with accelerometers and gyroscope data from smart phones to make a robust system. We present the details of our novel activity detection system, its architecture, algorithm and evaluation.

Comments

Published as part of the proceedings of the conference, ICOST - 12th International Conference on Smart Homes and Health Telematics, 2014: 138-146. DOI.

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