Grant: Alliance Grants
The University of Western Ontario
$45,000.00
Ai-based musical intervention to improve emotion through a personalized speaker
FY 2023-24
Summary
Mental disorders have a significant influence on the daily activities of Canadians. Specifically, negative emotions such as anxiety and depression, have risen significantly after the recent Covid-19 pandemic, and affected everyone in Canada and around the globe. Emotions have significant influence on the subjective well-being (SWB), behaviour, and decision-making, which impacts Canadians' quality of life. Musical intervention has demonstrated effectiveness in creating positive emotions as an example of non-invasive treatment for numerous mental disorder(s). However, the same type of music (e.g., lyrics, tempo, beat, genre, etc.) doesn't have the same beneficial effect on everyone's SWB. The goal of this partnership is to use artificial intelligence (AI) to develop a way for Pi Electronics to customize its consumer offerings based on the company's existing consumer data. For example, Pi Electronics' goal is to offer a personalized music database for both Canadian and global consumers. The main objectives for this partnership include: i) providing Pi Electronics with a long-term and effective solution for building personalized and beneficial music options for customers, and ii) developing an optimized machine learning (AI) framework for a real-time emotion recognition and music intervention system integrated in an empathetic speaker. Using the company partner's established measurement tools, the machine learning algorithm will detect emotional influence on the listener in real time. According to the degree of feedback obtained from physiological signals, the music database and frequency ranges will be customized to increase the positive response to the musical intervention. This partnership with Pi-Electronics, a leading company in acoustic technology, is expected to achieve remarkable industrial benefits for customized musical intervention using smart speakers. Ultimately, this project 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.
Program
Alliance Grants
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
583424-2023
Name nom
Nikan, Soodeh S
Department département
Electrical and Computer Engineering
Organization id
36
Institution établissement
The University of Western Ontario
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2023
Award amount
45000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1206
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Engineering
Area of application fr
Génie
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Not available
Research subject en
Non disponible
Research subject fr
Non disponible
Application title
Ai-based musical intervention to improve emotion through a personalized speaker
Keyword
Artificial Intelligence; Deep neural network; Emotion recognition; Music intervention; Smart speaker
Application summary
Mental disorders have a significant influence on the daily activities of Canadians. Specifically, negative emotions such as anxiety and depression, have risen significantly after the recent Covid-19 pandemic, and affected everyone in Canada and around the globe. Emotions have significant influence on the subjective well-being (SWB), behaviour, and decision-making, which impacts Canadians' quality of life. Musical intervention has demonstrated effectiveness in creating positive emotions as an example of non-invasive treatment for numerous mental disorder(s). However, the same type of music (e.g., lyrics, tempo, beat, genre, etc.) doesn't have the same beneficial effect on everyone's SWB. The goal of this partnership is to use artificial intelligence (AI) to develop a way for Pi Electronics to customize its consumer offerings based on the company's existing consumer data. For example, Pi Electronics' goal is to offer a personalized music database for both Canadian and global consumers. The main objectives for this partnership include: i) providing Pi Electronics with a long-term and effective solution for building personalized and beneficial music options for customers, and ii) developing an optimized machine learning (AI) framework for a real-time emotion recognition and music intervention system integrated in an empathetic speaker. Using the company partner's established measurement tools, the machine learning algorithm will detect emotional influence on the listener in real time. According to the degree of feedback obtained from physiological signals, the music database and frequency ranges will be customized to increase the positive response to the musical intervention. This partnership with Pi-Electronics, a leading company in acoustic technology, is expected to achieve remarkable industrial benefits for customized musical intervention using smart speakers. Ultimately, this project 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.
