Applications of Wearable Data and AI to Augment the i-Share Platform

i-Share is a project being conducted by the Université de Bordeaux. It is one of the largest mental health studies in the world, with the goal of collecting self-report information on mental health (e.g., stress, sleep, physical exercise, depression) from over 20,000 students from French universities.
Currently, students have access to personal devices, such as smartphones and smartwatches, that continuously collect health data in real-time (e.g., physical activity, sleep, heart rate). These objective data can be integrated with i-Share’s previously existing information and allow researchers to better understand and improve mental health of students.
The goal of this project is to explore the integration of sensors embedded in smart technologies with i-Share. More specifically, we will explore the integration of data from Apple Health (Apple’s health data repository) into i-Share’s capabilities. We will also develop Artificial Intelligence algorithms in order to generate insight into these datasets.

Faculty Supervisor:

Plinio Pelegrini Morita

Student:

Partner:

Université de Bordeaux

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Artificial Intelligence; Technology

University:

University of Waterloo

Program: