Paper Info
Title
A 260µW infrared gesture recognition system-on-chip for smart devices
Abstract
This paper presents a low-power infrared motion detection system suitable for smart devices such as wearables. The SoC incorporates instrumentation chopper amplifiers (ICA), LPFs, ADCs, and a DSP. The low-noise ICAs amplify very low frequency μV-level thermopile outputs with 2.0 NEF and provide programmable gain modes. To reduce standby power the ICA uses lower current when the system is in idle mode. Wakeup can be triggered by detection of a simple gesture. For the LPF, source degeneration by pseudo-resistors and g <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</inf> division techniques are used for both improved linearity and 30Hz bandwidth. The DSP employs a motion history image technique to achieve low-power detection. The system consumes 260µW in active mode and 46µW in idle mode while processing 16×4 infrared data at 30fps. A complete system demonstration is shown.
Year
DOI
Venue
2016
10.1109/VLSIC.2016.7573546
2016 IEEE Symposium on VLSI Circuits (VLSI-Circuits)
Keywords
Field
DocType
low-power infrared motion detection system,smart devices,instrumentation chopper amplifiers,LPF,ADC,DSP,low-noise ICAs,infrared gesture recognition system-on-chip,low-power detection,motion history image technique,gm division techniques,pseudo-resistors,source degeneration,programmable gain modes,power 260 muW,power 46 muW
Digital signal processing,System on a chip,Standby power,Motion detection,Computer science,Gesture recognition,Electronic engineering,Bandwidth (signal processing),Computer hardware,Chopper,Amplifier
Conference
ISBN
Citations 
PageRank 
978-1-5090-0636-6
0
0.34
References 
Authors
0
7
Name
Order
Citations
PageRank
Sechang Oh1648.47
Ngoc Le Ba212.08
Suyoung Bang318720.83
Junwon Jeong4112.84
David Blaauw58916823.47
Tae-hyoung Kim616335.19
Dennis Sylvester75295535.53