Validation of wearable device for use in predicting high and low levels of stress and anxiety in daily life

The project explores the application of physiological sensors in psychology, mental health, and mindfulness by integrating artificial intelligence for emotional classification. It aims to validate a wearable physiological monitoring system, using devices like Fitbit Versa 6 and Emotibit, to predict stress and anxiety levels through machine learning. This initiative is crucial given the prevalence of mental health issues in Canada, affecting 20% of Canadians annually, and demonstrating a desperate need for effective solutions.
By understanding emotional states and external influencing factors, the project seeks to improve mental health monitoring. Wearable technology can capture physiological signals—heart rate variability (HRV), heart rate (HR), skin conductance, and blood oxygenation—that correlate with emotional changes. Numerous studies have linked HRV to mental health conditions like anxiety and depression, establishing it as a reliable measure of the autonomic nervous system’s response to stress.

Faculty Supervisor:

Heather Neyedli;Terrence Tricco

Student:

Partner:

Soma Health Solutions Inc.

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program: