
EYES ON THE ROAD ondemand_video description
Detecting Phone Usage by Drivers Using On-Device Cameras
He is a PhD student of Human-Computer Interaction at Carnegie Mellon University with an emphasis on building novel unobtrusive sensing technologies driven by machine learning, computer vision and sensors. His interests usually draw from fields like wearable computing, Internet of Things, context-aware computing, and gestural interactions. He values ideas and enjoys the process of idea curation and cultivation. If you have an interesting idea, get in touch. He would love to hear about it!
Detecting Phone Usage by Drivers Using On-Device Cameras
Understanding the Challenge of Scaling Hardware Device Production
novel interactions and affordances of a detachable watch.
in-the-wild automated exercise detection, tracking and recognition.
upper bound on smartwatch use before exertion impacts usability.
non-visual interactions for easier web access.
effects of using employees as usability participants.
gamified postural awareness system.
proposed defenses against acoustic covert channels.
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