TY - GEN
T1 - A real time classifier for emotion and stress recognition in a vehicle driver
AU - Paschero, M.
AU - Del Vescovo, G.
AU - Benucci, L.
AU - Rizzi, A.
AU - Santello, Marco
AU - Fabbri, G.
AU - Mascioli, F. M Frattale
PY - 2012
Y1 - 2012
N2 - Recently there is a great interest in artificial systems able to understand and recognize human emotions. In this paper an Emotion Recognition System based on classical neural networks and neuro-fuzzy classifiers is proposed. Emotion recognition is performed in real time starting from a video stream acquired by a common webcam monitoring the user's face. Neurofuzzy classifiers, in comparison with Multi Layer Perceptron trained by EBP algorithm, show very short training times, allowing applications with easy and automated set up procedures, to be used in a wide range of applications, from entertainment to safety. The algorithm yields very interesting performances and can be adopted to recognize emotions as well as possible pathological conditions of the individual to be monitored.
AB - Recently there is a great interest in artificial systems able to understand and recognize human emotions. In this paper an Emotion Recognition System based on classical neural networks and neuro-fuzzy classifiers is proposed. Emotion recognition is performed in real time starting from a video stream acquired by a common webcam monitoring the user's face. Neurofuzzy classifiers, in comparison with Multi Layer Perceptron trained by EBP algorithm, show very short training times, allowing applications with easy and automated set up procedures, to be used in a wide range of applications, from entertainment to safety. The algorithm yields very interesting performances and can be adopted to recognize emotions as well as possible pathological conditions of the individual to be monitored.
UR - http://www.scopus.com/inward/record.url?scp=84864843217&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84864843217&partnerID=8YFLogxK
U2 - 10.1109/ISIE.2012.6237345
DO - 10.1109/ISIE.2012.6237345
M3 - Conference contribution
AN - SCOPUS:84864843217
SN - 9781467301589
T3 - IEEE International Symposium on Industrial Electronics
SP - 1690
EP - 1695
BT - Proceedings - 2012 IEEE International Symposium on Industrial Electronics, ISIE 2012
T2 - 21st IEEE International Symposium on Industrial Electronics, ISIE 2012
Y2 - 28 May 2012 through 31 May 2012
ER -