This paper is published in Volume-10, Issue-6, 2025
Area
Brain Computer Interfaces and AI
Author
Tanishq Zade, Anurag Gutte, Sushrut Wankhade, Rahul Gurbani, Prof. Dr. Jayashree Prasad, Prof Anuja Gaikwad
Org/Univ
MIT Art, Design and Technology University, Loni Kalbhor, Maharashtra, India
Pub. Date
09 January, 2025
Paper ID
V10I6-1519
Publisher
Keywords
BCI, LDA, Linear Discriminant Analysis, Music, Music Therapy, Therapy, Brain-Computer Interfacing

Citationsacebook

IEEE
Tanishq Zade, Anurag Gutte, Sushrut Wankhade, Rahul Gurbani, Prof. Dr. Jayashree Prasad, Prof Anuja Gaikwad. Mindsymphony: A Survey of Brain-Computer Interface Applications in Music Therapy Related Applications, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Tanishq Zade, Anurag Gutte, Sushrut Wankhade, Rahul Gurbani, Prof. Dr. Jayashree Prasad, Prof Anuja Gaikwad (2025). Mindsymphony: A Survey of Brain-Computer Interface Applications in Music Therapy Related Applications. International Journal of Advance Research, Ideas and Innovations in Technology, 10(6) www.IJARIIT.com.

MLA
Tanishq Zade, Anurag Gutte, Sushrut Wankhade, Rahul Gurbani, Prof. Dr. Jayashree Prasad, Prof Anuja Gaikwad. "Mindsymphony: A Survey of Brain-Computer Interface Applications in Music Therapy Related Applications." International Journal of Advance Research, Ideas and Innovations in Technology 10.6 (2025). www.IJARIIT.com.

Abstract

MindSymphony is an EEG-based dynamic music therapy system which displays the potential of BCI (brain Computer Interfaces)in regulating emotional states through real-time monitoring of brainwaves and adapting the music accordingly. This survey examines various current BCI applications in personalized music therapy, focusing on key algorithm methodologies, as well as the various challenges in EEG signal processing and emotion detection. This paper categorizes and compares existing approaches, addressing limitations and proposing strategies to enhance reliability and user experience in BCI-driven music therapy applications. It also discusses potential future research directions. This survey aims to provide a comprehensive overview of BCI-based adaptive music therapy and its applications.