Human Behavior Recognition using Body Sensors based on WBSNs

Abstract

This paper presents data set of three commercial physiological sensors i.e. Electrocardiogram (ECG), Galvanic Skin Response (GSR), and Pulse sensor. The paper focuses on experiment to recognize human behavior using these body sensors. An experiment was done with participation of 12 users to observe human behavior i.e. Happy and Neutral mood. Users were asked to watch advertisement video based on comedy and actionscenes. During the implementation some variations were observed in the data-set while users were watching the videos. The results have been discussed at the end of the paper based on the data-set of 12 participants.