Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)

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Smart Music Player with Gesture and Emotion Detection

Authors
Siddharth Jadhav1, Aftab Shikalgar1, Lobhas Paithankar1, Ashutosh Kumbhar1, Shubham Patel1, Trupti Shinde1, *
1Department of Computer Engineering, Vishwakarma University, Pune, India, {202200190, 202200346, 202200075, 202200387, 202200238
*Corresponding author. Email: trupti.shinde@vupune.ac.in
Corresponding Author
Trupti Shinde
Available Online 6 January 2026.
DOI
10.2991/978-94-6463-948-3_47How to use a DOI?
Keywords
Music recommendation; Gesture detection; Real-time emotion recognition; Queue-based system; Adaptive listening
Abstract

The main challenge in music listening remains “what to play next?”, despite the plethora of libraries that are available, modern platforms do not take into account real-time preferences, and do so inadvertently by overlooking user mood. To solve this, we created a prototype web app that integrated facial emotion recognition, gesture detection, curated playlists, and a recommendation model based on user metadata. Facial analysis detects instant reactions, and gestures enable rapid touch-free controls like play, pause, and skip. Curated playlists minimize tagging errors and the adaptive model sharpens recommendations in this context with the help of artists, genres, and albums to make credible recommendations across Comfort, Balanced, and Explorer modes. Our analysis suggests that the system enables users to create context-aware queues which can balance familiarity and novelty, with enhanced usability as a result of gesture control. Such a strategy improves comfort, personalization, and adaptability to music consumption which is more mood and real-time context dependent.

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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Volume Title
Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)
Series
Advances in Intelligent Systems Research
Publication Date
6 January 2026
ISBN
978-94-6463-948-3
ISSN
1951-6851
DOI
10.2991/978-94-6463-948-3_47How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Siddharth Jadhav
AU  - Aftab Shikalgar
AU  - Lobhas Paithankar
AU  - Ashutosh Kumbhar
AU  - Shubham Patel
AU  - Trupti Shinde
PY  - 2026
DA  - 2026/01/06
TI  - Smart Music Player with Gesture and Emotion Detection
BT  - Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)
PB  - Atlantis Press
SP  - 681
EP  - 691
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-948-3_47
DO  - 10.2991/978-94-6463-948-3_47
ID  - Jadhav2026
ER  -