Stress classification based on human electromagnetic radiation analysis

<p>Stress is a feeling of emotional or physical tension due to any events that makes one feel frustrated, angry nervous. It situation trigger particular biological response when encounter threat challenge. This paper discussed stress classification based on human electromagnetic radiation (EMR). At first, the collected frequency data analyzed using multivariate analysis variance (MANOVA) identify significance points for classification. Then, classified locally weighted learning (LWL) algorithm. The results show EMR third eye and throat chakra obtained accuracy more than 60%.</p>