• Ravisankar
• Himani Jerath

Feeling is solid instinctual and natural inclination in people that emerge from one's circumstances, mind-set and relationship with others. Along these lines, feelings are a psychological condition of individual which can't be halted. Along these lines, Emotion Recognition is a significant subject in numerous spots like the yield of work in any industry which is done physically, when discussing human-machine communication and, with regards to doing the investigation and controlling of feelings. Feelings can be distinguished utilizing numerous strategies like outward appearances, discourse, body motion and physiological signs. Certain physiological changes in human body like variety in pulse, temperature, skin conductance, muscle pressure and mind waves (ECG) can be considered to distinguish the sort of feeling being felt by an individual. This paper considers skin temperature and heart beat esteems removed from temperature sensor, just as pulse sensor and utilize an AI calculation to identify it. Each human responds distinctively in various circumstances, subsequently there are no summed-up parameters to watch state of mind swings. In any case, there are some particular totally various alternatives that give precision towards feeling acknowledgment. Directing feelings is one in everything about significant guide field. There are basically four essential feelings considered during this paper incorporates cheerful (energized), pitiful, loose (typical) and outrage state. A great deal of investigation has just been depleted in this field center around identification feelings exploitation mental signs like ECG, sweat and outward appearances and so on.

Emotion Detection, Raspberry-PI

"Emotion Detection using Machine Learning with the help of Raspberry-PI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.1703-1708, January 2019, Available :http://www.jetir.org/papers/JETIRDW06280.pdf

"Emotion Detection using Machine Learning with the help of Raspberry-PI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp1703-1708, January 2019, Available at : http://www.jetir.org/papers/JETIRDW06280.pdf