Advance Hand Gesture Recognition System With Facial Expression

DOI

10.2991/978-94-6463-858-5_284How to use a DOI?

Keywords

hand gesture; emotions; human machine interfaces

Abstract

In Computers must be able to identify human emotions and gestures by examining a person’s behavior, body language, emotional state, and hand gestures in order to engage with them intelligently. In interpersonal interactions, facial expressions and hand gestures let computers and people respond intelligently by analyzing human affective states, cognitive activity, intention, and personality. In a variety of domains and contexts, automatic facial expression and hand gesture detection can play a significant role in natural human machine interfaces. Clinical practice, user reviews, and behavioral science may also make use of it. By examining the feature extraction of both facial and hand gesture identification, the system is able to identify both facial emotions and hand movements. After that, the system will be able to categorize each class. The project’s findings demonstrate that our system was able to differentiate between hand gestures and facial emotions. Even yet, single-image analysis is usually the focus of a face emotion and hand gesture analysis module.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Tabresh Marufali
AU  - Sairamreddy Kareddy
AU  - Suryakanth Dandothikar
AU  - Ruqquiya Begum
PY  - 2025
DA  - 2025/11/04
TI  - Advance Hand Gesture Recognition System With Facial Expression
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 3391
EP  - 3397
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_284
DO  - 10.2991/978-94-6463-858-5_284
ID  - Marufali2025
ER  -