Recognition of Human Emotion from Heart Beat

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2018 by IJETT Journal
Volume-55 Number-1
Year of Publication : 2018
Authors : Miss.Snehal Gaikwad S., Prof.A.B.Jagadale
DOI :  10.14445/22315381/IJETT-V55P210

Citation 

Miss.Snehal Gaikwad S., Prof.A.B.Jagadale "Recognition of Human Emotion from Heart Beat", International Journal of Engineering Trends and Technology (IJETT), V55(1),45-47 January 2018. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
Body resistance is an important parameter. Which is widely used in analysis of mental stress, dehydration detection, total body water content analysis, body composition analysis and lie detection. The various methods like four probe method, two probe methods are used for analysis of body resistance. In this paper body resistance is measured with the help of constant current source method. The proposed system will map human emotions based on variation in body resistance. The proposed system consists of constant current generator, microcontroller based resistance variation detection system and personal computer based graphical user interface. Constant current in terms of few hundreds of micro ampere is allowed to flow through body. The voltage across two test point will be measured. Variation in the body resistance will cause changes in the voltage. This change will measured in different situation and plotted to map human emotions. Graphical user interface will be developed using software programming and analysis tool like MATLAB.

Reference
[1] P. A. Vijaya and G. Shivakumar,” Galvanic Skin Response: A Physiological Sensor System for Affective Computing”, International Journal of Machine Learning and Computing, Vol.3,No.1,February 2013.
[2] Tanu Sharma and Bhanu Kapoor,” Emotion estimation of physiological signals by using low power embedded system,” Conference on Advances in Communication and Control Systems 2013 (CAC2S 2013).
[3] G. Shivakumar and P. A. Vijaya, “Face Recognition System Using Back Propagation Artificial Neural Network,” International Journal of Computer Science and Information Technology, vol.1, Issue 1,pp.68-77, 2009.
[4] G. Shivakumar, P. A. Vijaya and R. S. Anand, “Emotion Recognition Using Finger Tip Temperature: FirstStep towards an AutomaticSystem,” International Journal of Computer and Electrical Engineering, Vol. 4, No. 3, June 2012.
[5] Jonghwa Kim,” Emotion Recognition Based on Physiological Changes in Music Listening,” IEEE Transaction on pattern analysis and machine intelligence, Vol.30,No.12,December 2008.
[6] S. Koelstra,” DEAP: A Database for Emotion Analysis using Physiological Signals,”.

Keywords
Body resistance, Heartbeat, human emotions.