An Emotion Recognition Based on Physiological Signals
Arvind Kumar1, Nidhi Garg2, Gurpreet Kaur3
1Dr. Nidhi, Assistant Professor, Department of ECE, Panjab University, Chandigarh, India.
2Dr. Gurpreet Kaur, Assistant Professor, Department of ECE, Panjab University, Chandigarh, India.
3Arvind Kumar, Department of ECE, Panjab University, Chandigarh, India.
Manuscript received on 20 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 26 August 2019 | PP: 335-341 | Volume-8 Issue-9S August 2019 | Retrieval Number: I10540789S19/19©BEIESP | DOI: 10.35940/ijitee.I1054.0789S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Emotion recognition is alluring considerable interest among the researchers. Emotions are discovered by facial, speech, gesture, posture and physiological signals. Physiological signals are a plausible mechanism to recognize emotion using human-computer interaction. The objective of this paper is to put forth the recognition of emotions using physiological signals. Various emotion elicitation protocols, feature extraction techniques, classification methods that aim at recognizing emotions from physiological signals are discussed here. Wrist Pulse Signal is also discussed to fill the lacunae of the other physiological signal for emotion detection. Working on basic as well as non-basic human emotion and human-computer interface will make the system robust.
Keywords: Ayurveda, Emotion Recognition System, Emotion Elicitation Protocols, Physiological Signals, Wrist Pulse Signal.
Scope of the Article: Pattern Recognition and Analysis