A 28 nm, 397 μW real-time dynamic gesture recognition chip based on RISC-V processor.
Yong-Liang ZhangQiang LiHui ZhangWei-Zhen WangJun HanXiaoyang ZengXu ChengPublished in: Microelectron. J. (2021)
Keyphrases
- gesture recognition
- real time
- high speed
- human machine interface
- low cost
- low power consumption
- depth cameras
- human computer interaction
- hidden markov models
- single chip
- sign language recognition
- hand gesture recognition
- hand postures
- hand gestures
- human robot interaction
- sign language
- hand tracking
- kinect sensor
- functional verification
- instruction set
- skin detection
- gaze tracking
- application specific
- parallel processing
- automatic face
- vision system
- recursive neural networks
- nm technology
- ibm power processor
- dynamic random access memory
- processor core
- multithreading
- software engineering
- face recognition