Ai-based musical intervention to improve emotion through a personalized speaker

Mental disorders have a significant influence on the daily activities of Canadians. Musical intervention can provide a non-invasive treatment through changing emotional state and creating positive mood. The main objective of this project is to provide a long-term solution for musical intervention through an optimized machine learning framework for an intelligent real-time emotion recognition and musical intervention system integrated in an empathetic speaker. During music play, the emotional influence will be detected and according to the mood change measured from the brain signals, the music database will be customized. This project in partnership with Pi-Electronics, a leading company in acoustic technology with an extensive portfolio of advanced audio-visual electronic initiatives, is expected to achieve remarkable industrial benefits for musical intervention using smart speakers. Ultimately, it will provide a low-cost and low-risk solution to improve the subjective well-being and consequently quality of life for Canadians and worldwide users.

Faculty Supervisor:

Soodeh Nikan;Abdallah Shami

Student:

Partner:

Pi Electronics Technology Inc

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

The University of Western Ontario

Program: