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Mobile Sensing Knows Things About You That You Don't

Presenters Name: 
Jacob Herring
Primary Research Mentor: 
Laura Barnes
Secondary Research Mentor: 
Medhi Boukhechba
Time: 
1:00 - 1:15
Time of Presentation: 
2019 - 1:00pm to 1:15pm
Session: 
3
Location: 
Commonwealth Room
Presentation Type: 
Oral
Presentations Academic Category: 
Engineering
Grant Program Recipient: 
USOAR Program
Abstract: 

When people are involved in stressful situations, they tend to display distinct characteristics such as fidgeting and restlessness. Their heart rate begins to climb and often enough, they cannot realize themselves that they are performing these nervous responses. The purpose of our group’s research project is to monitor individuals via mobile sensing and using their collected data to extrapolate their mental health and stress-levels. Mobile Sensing is a type of data collection that gathers data using the various sensors embedded within smartwatches and mobile phones. Using these, an individual’s biometric data is collected and processed through machine learning, detecting when and where stressful behavior is exhibited. The purpose of my involvement with this team is to develop software which will facilitate the collection of data and management of studies. This software will be used on both smartphones and smartwatches and allow for the team to determine which sensors to activate as well as set other study specific protocols. Using it future studies, we hope to gain additional insight into when people experience stress, and how to help them manage it.