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Summary

In this seminar course, we will explore opportunities and challenges at the intersection of wearable technologies and applied machine learning through interactive discussion-based seminar. we will read and discuss important literatures on wearable intelligence for applications in human-computer interaction, healthcare, and robotics. Students with little or no background in the field are welcome!
Potential topics
- Design and Fabrication of wearable sensors and actuators.
- Machine learning for wearable sensing and feedback interfaces.
- Multimodal sensing and feedback modalities, and cross-modal insight generation.
- Applications in healthcare, robotic manipulation, human-machine interaction, and AR/VR.
Learning objectives
- Critically assess current research and development in wearable intelligence.
- Evaluate the societal impact of wearable intelligence.
- Identify the underlying principles and technological components that enable wearable intelligence systems.
- Evaluate scholarly papers, synthesize key concepts, and familiarize with academic writing conventions.
- Develop interpersonal skills by actively engaging in discussions with peers.

Logistics

Instructor: Dr. Yiyue Luo (yiyueluo@uw.edu)
Course Assistant: Dr. Yiyue Luo (yiyueluo@uw.edu)
Time: Tuesdays, 2:30 – 4:20 PM
Location: ECE 403
2 credits, SLN: 23764
Canvas: https://canvas.uw.edu/courses/1771095

Schedule