Abstract
In the recent era, human are ruled by digital media. It can be said that for improvised Human Computer Interaction (HCI) process and security purposes, a robust authentication framework is the target of all researchers. Any CHAP or PAP based and biometric authentication techniques have been evolved in a great way to serve this purpose. Along with these widely used techniques, a new research domain Affective Computation (AC) has taken place with a different approach towards engaging human emotions into a farm computational model. In this work, a robust and adaptive framework for a Human Emotional Mapper has been introduced in details through which human emotional signature can be tracked. This emotional signature pattern can be used for authentication as well as improvised HCI.
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Chakraborty, A., Saha, S., Goswami, R.T. (2020). An Adaptive Framework for Human Psycho-Emotional Mapper Based on Controlled Stimulus Environment. In: Batra, U., Roy, N., Panda, B. (eds) Data Science and Analytics. REDSET 2019. Communications in Computer and Information Science, vol 1229. Springer, Singapore. https://doi.org/10.1007/978-981-15-5827-6_24
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DOI: https://doi.org/10.1007/978-981-15-5827-6_24
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