Papers by Sridhar Subramanian
A Brain Computer Interface (BCI) or Brain Machine Interface is a direct Communication path betwee... more A Brain Computer Interface (BCI) or Brain Machine Interface is a direct Communication path between a human brain and an external environment. It allows users to send their messages or commands without any muscle movement but through the thought process. Electroencephalogram (EEG) is used in measuring the electrical activity of the brain which is generated by billions of nerve cells called neurons. This EEG activity is recorded through electrodes placed on the scalp. EEG signals are conventionally categorized into different rhythms based on their frequencies ranging from less than 0.5 Hz to above 30 Hz categorized as Delta, Theta, Alpha, Beta and Gamma waves. The primary objectives of BCI systems are to translate the signals produced by brain activity into control signals and use them to control or actuate activities on particular application domain. The objective of this paper is to study the feasibility of developing a BCI system for recognizing and controlling the stress level of a person. The emotional level of the subject will be recognized based on the brain EEG signals captured and analyzed through the Valence-Arousal model. Further, based on the emotional status of the person, corresponding music shall be played to reduce the stress level of a person, thereby controlling the emotional level of the subject. Experiments have been carried out in the Brain Computer Interface Research Lab and the results show a significant feasibility in developing an emotional control system.
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Papers by Sridhar Subramanian