Overview
This course aims to teach learners about a novel gesture recognition system called AllSee, which operates on various computing devices, including those without batteries. The course covers topics such as the limitations of existing gesture-recognition systems, the hardware architecture of AllSee, challenges faced, power consumption, and real-world testing. By the end of the course, students will be able to understand the concept of always-on gesture recognition, the design challenges involved, and the high classification accuracies achieved by AllSee. The intended audience for this course includes individuals interested in gesture recognition technology, Internet of Things devices, and low-power computing systems.
Syllabus
Intro
New Forms of User Interaction
Limitations of Connect
Internet of Things Devices
AlwaysOn
HighLevel Idea
AllC
Hardware Architecture
Wireless Receiver
Challenges
Ambient Backscatter
Power Consumption
Design Challenges
Demonstration
Gesture Classification
Workflow
Classification Accuracy
False Positives
Real World Testing
Conclusion
Taught by
USENIX