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A design of software adaptive to estimated user's mental state using pulse wave analysis

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7 Author(s)
Shun Arai ; School of Science and Technology for Future Life, Tokyo Denki University, Japan ; Kazuhisa Ohira ; Niwat Thepvilojanapong ; Nobuji Tetsutani
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Recent study has shown that the pulse wave signal of human includes much information of human's mental condition. To get such information, measuring finger pulse wave is a non-invasive and convenient method. Then we analyze the measured pulse wave in frequency domain to investigate low- and high-frequency components whose the ratio can be used to estimate mental condition. We design and implement an API to retrieve user's mental state easily and adaptively control a mobile phone's software based on mental condition. To validate the benefit of API, we develop a mail filtering app on an Android phone and perform an experiment.

Published in:

Networked Sensing Systems (INSS), 2012 Ninth International Conference on

Date of Conference:

11-14 June 2012