Open AccessStress classification based on human electromagnetic radiation analysis
Author(s) -
Tengku ‘Afiah Mardhiah Tengku Zainul Akmal,
Abd Hafiz Qayyum Abd Talib,
Siti Zura A. Jalil,
Siti Armiza Mohd Aris
Publication year - 2021
Publication title -
indonesian journal of electrical engineering and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.241
H-Index - 17
eISSN - 2502-4760
pISSN - 2502-4752
DOI - 10.11591/ijeecs.v22.i2.pp826-834
Subject(s) - multivariate analysis of variance , stress (linguistics) , feeling , psychology , emotional stress , multivariate statistics , artificial intelligence , computer science , pattern recognition (psychology) , cognitive psychology , machine learning , social psychology , medicine , philosophy , linguistics
Stress is a feeling of emotional or physical tension due to any events that makes one feel frustrated, angry or nervous. It a situation that trigger particular biological response when encounter a threat or challenge. This paper discussed stress classification based on human electromagnetic radiation (EMR). At first, the collected radiation frequency data is analyzed using multivariate analysis of variance (MANOVA) to identify the significance points for the classification. Then, the data is classified using locally weighted learning (LWL) algorithm. The results show stress classification using EMR based on third eye and throat chakra points obtained accuracy of more than 60%.