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.