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Smart Chair: What Can Simple Pressure Sensors under the Chairs’ Legs Tell Us about User Activity?

Authors:
Jingyuan Cheng
Bo Zhou
Mathias Sundholm
Paul Lukowicz

Keywords: ubiquitous computing; smart chair; resistive pressure sensor; activity recognition

Abstract:
In this paper, we investigate how much information about user activity can be extracted from simple pressure sensors mounted under the legs of a chair. We show that it is possible to detect not only different postures (0.826 accuracy for 5 subjects and 7 classes), but also subtle hand and head related actions like typing and nodding (0.880 accuracy for 5 subjects and 5 classes). Combining features related to postures and such simple actions, we can detect high-level activities such as working on a PC, watching a movie or eating in a continuous, real-life data stream. In a dataset of 105.6 hours recorded from 4 subjects, we achieved 0.783 accuracy for 7 classes.

Pages: 81 to 84

Copyright: Copyright (c) IARIA, 2013

Publication date: September 29, 2013

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-61208-289-9

Location: Porto, Portugal

Dates: from September 29, 2013 to October 3, 2013