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Measuring Sleep, Stress and Wellbeing with Wearable Sensors and Mobile Phones

Offered By: Paul G. Allen School via YouTube

Tags

Mental Health Courses Machine Learning Courses Stress Management Courses Data Analytics Courses Wellbeing Courses

Course Description

Overview

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Explore groundbreaking research on measuring and improving mental wellbeing using wearable sensors and mobile phones in this 57-minute colloquium by Akane Sano from MIT. Delve into the SNAPSHOT study, which collected over 200,000 hours of multi-sensor and smartphone data from college students to investigate factors influencing sleep, stress, and mental health. Learn about innovative statistical analysis and machine learning models developed to characterize and forecast mental wellbeing. Discover recent projects aimed at helping individuals reflect on and modify behaviors to enhance their overall wellbeing. Gain insights into the future directions of mental health research utilizing mobile technology and wearable devices.

Syllabus

Introduction
Akane Sano
Snapshot Study
Framingham Heart Study
Data Collection
Sleep Detection
Micro interventions
Selfexperimentation
Improving health
Engaging users
Conclusion
Thank you
Security
Happiness
Conclusions


Taught by

Paul G. Allen School

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