The Virtual Trackpad: An Electromyography-Based, Wireless, Real-Time, Low-Power, Embedded Hand-Gesture-Recognition System Using an Event-Driven Artificial Neural Network.
Xilin LiuJacob SacksMilin ZhangAndrew G. RichardsonTimothy H. LucasJan Van der SpiegelPublished in: IEEE Trans. Circuits Syst. II Express Briefs (2017)
Keyphrases
- event driven
- low power
- hand gestures
- low cost
- real time
- artificial neural networks
- high speed
- wireless transmission
- power consumption
- ultra low power
- hand gesture recognition
- gesture recognition
- human computer interaction
- embedded systems
- low power consumption
- vlsi architecture
- single chip
- sign language
- signal processor
- wireless networks
- logic circuits
- hand postures
- image sensor
- wireless communication
- power dissipation
- cmos technology
- power reduction
- gate array
- computer vision
- hidden markov models
- image sequences
- multimedia