A 2.71 nJ/Pixel Gaze-Activated Object Recognition System for Low-Power Mobile Smart Glasses.
Injoon HongKyeongryeol BongDongjoo ShinSeongwook ParkKyuho Jason LeeYouchang KimHoi-Jun YooPublished in: IEEE J. Solid State Circuits (2016)
Keyphrases
- low power
- wireless transmission
- power consumption
- low cost
- high speed
- image sensor
- single chip
- vlsi architecture
- high power
- digital signal processing
- vlsi circuits
- low power consumption
- logic circuits
- mobile phone
- mobile applications
- mobile devices
- eye tracking
- moving objects
- gate array
- cmos technology
- gaze estimation
- eye tracker
- eye contact
- power reduction
- context aware
- signal processor