用于智能设备的260µW红外手势识别片上系统

Sechang Oh, Ngoc Le Ba, S. Bang, Junwon Jeong, D. Blaauw, T. T. Kim, D. Sylvester
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引用次数: 10

摘要

本文提出了一种适用于可穿戴设备等智能设备的低功耗红外运动检测系统。SoC集成了仪器斩波放大器(ICA)、lpf、adc和DSP。低噪声集成电路放大极低频μ v级热电堆输出2.0 NEF,并提供可编程增益模式。为了减少待机功率,ICA在系统处于空闲模式时使用较小的电流。唤醒可以通过检测一个简单的手势来触发。对于LPF,采用伪电阻源退化和gm分频技术来提高线性度和30Hz带宽。DSP采用运动历史图像技术实现低功耗检测。当系统以30fps的速度处理16×4红外数据时,在活动模式下消耗260μW,在空闲模式下消耗46μW。给出了一个完整的系统演示。
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A 260µW infrared gesture recognition system-on-chip for smart devices
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 gm 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.
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