ML seminars: Machine Learning and Wearable Sensors for Mental Health Monitoring

Welcome to the seminar series on machine learning organized by IfI, UiO.

Title: Machine Learning and Wearable Sensors for Mental Health Monitoring

Speaker: Enrique Garcia-Ceja, IfI, UiO

Abstract: With the current advances of sensor miniaturization, it has
become possible to develop and commercialize devices with outstanding
sensing capabilities such as smartwatches, fitness bracelets, smartphones,
etc. Previous studies have shown the potential of using such devices to
monitor user behavior such as location, mood, activities and so on.
Nowadays, mental health problems are becoming more common worldwide.
Traditional mental health monitoring methods rely on retrospective reports
which are subject to recall bias, time constraints, etc. Given that mental
states can manifest through physiological and behavioral changes, wearable
devices have the potential to be used to sense those signals which can
later, be analyzed using machine learning to predict states. These type of
applications also present several challenges which will be discussed.


Christos Dimitrakakis
Tags: ML seminars, machine learning, seminar, IfI, wearable sensors, mental health monitoring
Published Jan. 21, 2019 5:28 AM - Last modified Jan. 21, 2019 5:28 AM