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

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.