EVENT DETAILS
The rapid proliferation of consumer devices has created an unprecedented opportunity to revolutionize how we understand and quantify human behavior and movement in real-world settings. Today's consumer devices - like smartphones and smartwatches - provide a glimpse of this potential, offering coarse digital representations of users with metrics such as step count, heart rate, and a handful of human activities like running and biking. Even these very low-dimensional representations are already bringing value to millions of people's lives, but there is significant potential for improvement. In my research, I introduce the "Human API" that enables consumer devices to query rich and continuous representations of our physical lives to sense, track, and understand users to augment their interactions and assist them in daily life. By driving advances in machine learning and sensing, sensor fusion, and edge computing, we aim to transform consumer devices into sophisticated user digitization and motion capture systems. Armed with such knowledge, our future devices could offer longitudinal health and wellness tracking, more productive work environments, full-body avatars in extended reality, and embodied telepresence experiences, to name just a few domains. Critically, these advances cannot come at the expense of user practicality, meaning my work must be strategic in developing new sensors and making use of existing sensors and edge computation.
TIME Wednesday October 23, 2024 at 2:00 PM - 3:00 PM
LOCATION L440, Technological Institute map it
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CONTACT Catherine Healey catherine.healey@northwestern.edu
CALENDAR Department of Electrical and Computer Engineering (ECE)