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Evaluation of Wearable Devices’ Potential for Driver Stress Detection

Imagine a world where your car adapts to your driving needs. In this world, our driving experience can be enhanced when the car can infer the internal state of the driver. Towards this end, we devised and executed an experiment to determine whether consumer wearable health monitoring devices can detect driver stress. If this stress can be predicted, the car’s controls can adapt dynamically to help the driver deal with their situation on the road. To complete this task, we used a driving simulator to enact a series of high and low stress driving scenarios on our participants. These subjects wore a series of wearable devices, a medical-grade heart rate sensor, and an experimental headrest- all of which collected their biometrics simultaneously. Finally, we processed all of this data to determine which, if any devices were able to successfully monitor subject stress. To learn about the results of our research, come check out our poster!

Team Members

Alison Jin
Aditya Ojha
Eralp Orkun
Hannah Saquing
Johanna McCormack
Jonathan Voss

Sponsors
Dr. Lucian Gheorghe
Semester