.png){kind=icon}
返回
Implementing a Hand Gesture Recognition System Based on Range-Doppler Map
.png){kind=icon}
OA
AI
DOI：10.3390/s22114260.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
There have been several studies of hand gesture recognition for human-machine interfaces. In the early work, most solutions were vision-based and usually had privacy problems that make them unusable in some scenarios. To address the privacy issues, more and more research on non-vision-based hand gesture recognition techniques has been proposed. This paper proposes a dynamic hand gesture system based on 60 GHz FMCW radar that can be used for contactless device control. In this paper, we receive the radar signals of hand gestures and transform them into human-understandable domains such as range, velocity, and angle. With these signatures, we can customize our system to different scenarios. We proposed an end-to-end training deep learning model (neural network and long short-term memory), that extracts the transformed radar signals into features and classifies the extracted features into hand gesture labels. In our training data collecting effort, a camera is used only to support labeling hand gesture data. The accuracy of our model can reach 98%.
Keyword:
hand gesture recognition
FMCW radar sensor
range-Doppler map
deep learning
bidirectional long short-term memory
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.5
论文数:
7.2W
被引数:
20.9W
机构
引用论文
Eliciting Contact-Based and Contactless Gestures With Radar-Based Sensors使用基于雷达的传感器引发基于接触和非接触式的手势.png)
IEEE ACCESS
OAAI
IEEE ACCESSIF3.6
OAAI分享收藏Optimisation of the batch reactor for the removal of cobalt ions from chloride mediaChemosphere
ChemosphereIF0
PREAI
分享收藏The Influence of Personal Involvement on the Performance in a False Belief Task: A Structural Analysis个人卷入对错误信念任务中表现的影响：一项结构分析
PREAI
分享收藏IR Sensor-Based Gesture Control Wheelchair for Stroke and SCI Patients用于中风和SCI患者的基于IR传感器的手势控制轮椅IEEE SENSORS JOURNAL
IEEE SENSORS JOURNALIF4.5
PREAI
分享收藏Characteristics of Fuel Consumption and Vehicular Operation of Buses in Taipei's Exclusive Bus Lanes
PREAI
分享收藏Hand Gesture Recognition based on Surface Electromyography using Convolutional Neural Network with Transfer Learning Method基于表面肌电信号的卷积神经网络迁移学习手势识别
PREAI
分享收藏
查看更多内容