9.7 A 184 µ W Real-Time Hand-Gesture Recognition System with Hybrid Tiny Classifiers for Smart Wearable Devices.
Yuncheng LuVan Loi LeTony Tae-Hyoung KimPublished in: ISSCC (2021)
Keyphrases
- hand postures
- hand gestures
- real time
- wearable devices
- gesture recognition
- hand gesture recognition
- recognition algorithm
- microsoft kinect
- depth cameras
- human computer interaction
- gaze tracking
- depth data
- video camera
- vision system
- complex background
- feature extraction
- three dimensional
- depth map
- high speed
- digital images
- hidden markov models
- computer vision