基于33-GHz直接采样的时域人工智能手势识别雷达

2019 Symposium on VLSI Circuits Pub Date : 2019-06-01 DOI:10.23919/VLSIC.2019.8777995

Jungwoon Park, Junyoung Jang, Geunhaeng Lee, Hyunmin Koh, Changhwan Kim, Tae Wook Kim

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引用次数: 4

摘要

本研究开发了采用高达33gs /s直接采样技术的时域人工智能雷达。它通过学习目标反馈的唯一脉冲信号，实现对静态和动态手势的识别。该算法在静态和动态手势集上的识别率分别为93.2%和90.5%。

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A Time Domain Artificial Intelligence Radar for Hand Gesture Recognition Using 33-GHz Direct Sampling

This research developed time domain Artificial Intelligence radar using up to 33 GS/s direct sampling technique. It can recognize both static and dynamic hand gesture by learning the unique impulse signal that comes back from target. The algorithm gets recognition rate 93.2% and 90.5%, respectively on set of static and dynamic gesture.

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2019 Symposium on VLSI Circuits

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