Hidden Markov Model to Detect Anxiety in Human Face
Abstract: In this paper we propose a human emotion recognition system based on Hidden markov model. Detection of anxiety from video is a sub area of the computer vision or human vision problem. It is particular interest of the wide variety of application. In our proposed method uses Hidden markov model to detect anxiety, here anxiety is uses as state and detected heart rate and blush response which are used as evidence variable. Visually recognize feeling of anxiety in humans, use video magnification to revel physical expression or emotions cues which is normally imperceptible to the naked eyes.
Keywords: Hidden markov model, Video Magnification, HSV color space, Anxiety, Eulerian video magnification, spatio-temporal analysis
How to Cite?: Anupma Soni, Rahul Verma, "Hidden Markov Model to Detect Anxiety in Human Face", Volume 6 Issue 6, June 2017, International Journal of Science and Research (IJSR), Pages: 667-670, https://www.ijsr.net/getabstract.php?paperid=ART20174272, DOI: https://dx.doi.org/10.21275/ART20174272