Title :
A design of software adaptive to estimated user´s mental state using pulse wave analysis
Author :
Arai, Shun ; Ohira, Kazuhisa ; Thepvilojanapong, Niwat ; Tetsutani, Nobuji ; Tobe, Yoshito ; Oyama-Higa, Mayumi ; Ohta, Yoshikatsu
Author_Institution :
Sch. of Sci. & Technol. for Future Life, Tokyo Denki Univ., Tokyo, Japan
Abstract :
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.
Keywords :
adaptive control; application program interfaces; e-mail filters; frequency-domain analysis; information filtering; mobile computing; operating systems (computers); psychology; API; Android phone; adaptive control; finger pulse wave measurement; frequency domain analysis; high-frequency components; human mental condition; low-frequency components; mail filtering app; mobile phone software; noninvasive method; pulse wave analysis; pulse wave signal; software design; user mental state retrieval; Acceleration; Accuracy; Heart rate; Postal services; Smart phones; Software; Stress;
Conference_Titel :
Networked Sensing Systems (INSS), 2012 Ninth International Conference on
Conference_Location :
Antwerp
Print_ISBN :
978-1-4673-1784-9
Electronic_ISBN :
978-1-4673-1785-6
DOI :
10.1109/INSS.2012.6240530
