Stress classification based on human electromagnetic radiation analysis

Abstract

Stress is a feeling of emotional or physical tension due to events that makes one feel frustrated, angry or nervous. It is a situation that trigger biological response when a person encounters a threat or challenge. This paper discussed stress classification based on human electromagnetic radiation (EMR). EMR frequency are captured at seven major chakra points and being analyzed using multivariate analysis of variance (MANOVA) to identify the significance points for the classification. Locally weighted learning (LWL) algorithm is used to classify the collected data. The results show stress classification using EMR based on third eye and throat chakra points obtained accuracy of more than 60%.