Abstract
Emotions can be recognized by utilizing Physiological parameters such as pulse rate, respiration rate, measure of perspiration, conductance of skin and blood pressure. One of the strategies to study emotions is to analyze the variations in respiration rate with respect to change in emotions. It is noted that the respiration rate increases with increase in anxiety and slows down when the person is calm. An extensive review of how respiration is related to emotions is carried out in this work. A non contact respiration rate sensor is designed to obtain the respiration rate with much ease and accuracy when compared to other conventional respiration rate sensors. An algorithm is developed which maps the respiration rate and the emotion of an individual.
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Prince, P.G.K., Immanuel Rajkumar, R., Premalatha, J. (2020). Novel Non-contact Respiration Rate Detector for Analysis of Emotions. In: Hemanth, D. (eds) Human Behaviour Analysis Using Intelligent Systems. Learning and Analytics in Intelligent Systems, vol 6. Springer, Cham. https://doi.org/10.1007/978-3-030-35139-7_8
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