Real-time Hand-Gesture Recognition based on Deep Neural Network

Author:

Ageishi Naoto,Tomohide Fukuchi,Ben Abdallah Abderazek

Abstract

Hand gestures are a kind of nonverbal communication in which visible bodily actions are used to communicate important messages. Recently, hand gesture recognition has received significant attention from the research community for various applications, including advanced driver assistance systems, prosthetic, and robotic control. Therefore, accurate and fast classification of hand gesture is required. In this research, we created a deep neural network as the first step to develop a real-time camera-only hand gesture recognition system without electroencephalogram (EEG) signals. We present the system software architecture in a fair amount of details. The proposed system was able to recognize hand signs with an accuracy of 97.31%.

Publisher

EDP Sciences

Reference10 articles.

1. Vu T.H., Murakami R., Okuyama Y., Abdallah A.B., “Eflcient Optimization and Hardware Acceleration of CNNs towards the Design of a Scalable Neuro inspired Architecture in Hardware”, in 2018 IEEE International Conference on Big Data and Smart Computing (BigComp) (2018), pp. 326–332

2. Comprehensive Analytic Performance Assessment and K-means based Multicast Routing Algorithm and Architecture for 3D-NoC of Spiking Neurons

3. Fault-Tolerant Spike Routing Algorithm and Architecture for Three Dimensional NoC-Based Neuromorphic Systems

4. Murarami R., Okuyama Y., Abdallah A.B., “Animal Recognition and Identification with Deep Convolutional Neural Networks for farm Monitoring”, in Information Processing Society Tohoku Branch Conference, Koriyama, Japan (Feb,10,2018)

5. Murakami Y., Okuyama Y., Abdallah A.B., “SRAM Based Neural Network System for Traflc Light Recognition in Autonomous Vehicles”, in Information Processing Society Tohoku Branch Conference, Koriyama, Japan (Feb. 10, 2018)

Cited by 5 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

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3