A 213.7-$\mu$ W Gesture Sensing System-On-Chip With Self-Adaptive Motion Detection and Noise-Tolerant Outermost-Edge-Based Feature Extraction in 65 nm-Reference-Cited by-同舟云学术

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A 213.7-$\mu$ W Gesture Sensing System-On-Chip With Self-Adaptive Motion Detection and Noise-Tolerant Outermost-Edge-Based Feature Extraction in 65 nm

Published:2019-09 Issue:9 Volume:2 Page:123-126
ISSN:2573-9603
Container-title:IEEE Solid-State Circuits Letters
language:
Short-container-title:IEEE Solid-State Circuits Lett.

Author:

Le Van Loi^ORCID,Yoo Taegeun^ORCID,Kim Ju Eon,Baek Kwang-Hyun^ORCID,Kim Tony Tae-Hyoung^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8011414/8871355/08877923.pdf?arnumber=8877923

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. HGRP: A 181-μ W Real-Time Hand Gesture Recognition Processor Based on Bi-Directional Convolution and Iteration-Free Feature Clustering;IEEE Journal of Solid-State Circuits;2024-06

2. A 184-μW Error-Tolerant Real-Time Hand Gesture Recognition System With Hybrid Tiny Classifiers Utilizing Edge CNN;IEEE Journal of Solid-State Circuits;2023-02

3. A 30.2-µ Vrms Horizontal Streak Noise 8.3-Mpixel 60-Frames/s CMOS Image Sensor With Skew-Relaxation ADC and On-Chip Testable Ramp Generator for Surveillance Camera;IEEE Journal of Solid-State Circuits;2022-10

4. Circuit Techniques to Improve Low-Light Characteristics and High-Accuracy Evaluation System for CMOS Image Sensor;Sensors;2022-08-12

5. High Accuracy Test Techniques with Fine Pattern Generator and Ramp Test Circuit for CMOS Image Sensor;IEICE Transactions on Electronics;2022-07-01

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