Emotion Recognition Using Smart Bands

Authors

  • Aleena Baby Department of Computer Science and Engineering, Federal Institute of Science and Technology, Ernakulam, Kerala, India
  • Aneeka Geo Department of Computer Science and Engineering, Federal Institute of Science and Technology, Ernakulam, Kerala, India
  • AR Haseen Fairuz Department of Computer Science and Engineering, Federal Institute of Science and Technology, Ernakulam, Kerala, India
  • M Joel Boby Department of Computer Science and Engineering, Federal Institute of Science and Technology, Ernakulam, Kerala, India
  • P Anuranj Department of Computer Science and Engineering, Federal Institute of Science and Technology, Ernakulam, Kerala, India

DOI:

https://doi.org/10.61779/jasetm.v1i2.7

Keywords:

Affective computing, continuous emotion recognition, time intervals modeling, uncertainty of emotional responses

Abstract

Emotion recognition is an important research area within the field of affective computing, which aims to build systems that can recognize, interpret, and respond to human emotions. The feasibility and costliness of continuous emotion recognition have led to numerous studies. Rather than labeling emotional states continuously, the focus is on modeling time intervals that better represent the presence of affective states. Instead of tracking ongoing affective changes within a specific timeframe, this technique aims to identify the most prominent emotional incidents. This approach offers a practical and natural way of learning in a weakly supervised environment, considering the uncertainty of emotional responses.

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Published

27-12-2023

How to Cite

Baby, A., Geo, A., Fairuz, A. H., Boby, M. J., & Anuranj, P. . (2023). Emotion Recognition Using Smart Bands. Journal of Applied Science, Engineering, Technology and Management, 1(02), 29–34. https://doi.org/10.61779/jasetm.v1i2.7

Issue

Vol. 1 No. 02 (2023): Journal of Applied Science, Engineering, Technology and Management

Section

Articles

License

Copyright (c) 2023 Aleena Baby, Aneeka Geo, AR Haseen Fairuz, M Joel Boby, P Anuranj

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