In the US today, there are approximately 3.5 million individuals living with autism. Hypersensitivity is a common trait in individuals with autism, where the individual experiences sensory overload from stress and stressful situations. Team MoSAIC Stress Monitoring Apparel is a wearable technology that monitors biometrics of a user such as heart rate, skin conductivity, and body temperature to determine if the user is experiencing an elevated level of stress. When a stress pattern is detected, this technology will alert the user via push notification through a mobile application, and display a soothing message to alleviate stress. Current methods to combat hypersensitivity utilize a weighted vest to put pressure on the user to simulate a hug; however, issues lie in the heavy weight of the vest and unsightly appearance.

The goal of this project is to assess methods of detecting and alerting a user of high stress levels through the use of wearable biosensors. An experiment will be designed and conducted to collect data of normal and high stress biometric signals, which will be utilized in a machine learning model. A mobile application will then be developed to monitor biometric signals and notify the user and his or her guardian of these high stress levels when detected by the machine learning model.

Final Project Prototype

Project Name

Quantitative Approach to Assessing Stress in Autistic Individuals (GAIA Phase 2)

Project Number

P18023

Team Name

Team MoSAIC

Start Term

2171

End Term

2175

Faculty Guide

Michael Zona, mfzddm@rit.edu

Primary Customer

Brent Chase, bbc9935@rit.edu

Sponsor (financial support)

Brent Chase, bbc9935@rit.edu

Technical Paper

Lightning Talk

Poster

Imagine RIT Exhibit