CubeLearn: End-to-End Learning for Human Motion Recognition From Raw mmWave Radar Signals

计算机科学 人工智能 端到端原则 人工神经网络 雷达 初始化 预处理器 深度学习 分类器(UML) 模式识别(心理学) 计算机视觉 电信 程序设计语言
作者
Peijun Zhao,Chris Xiaoxuan Lu,Bing Wang,Niki Trigoni,Andrew Markham
出处
期刊:IEEE Internet of Things Journal [Institute of Electrical and Electronics Engineers]
卷期号:10 (12): 10236-10249 被引量:17
标识
DOI:10.1109/jiot.2023.3237494
摘要

mmWave FMCW radar has attracted a huge amount of research interest for human-centered applications in recent years, such as human gesture and activity recognition. Most existing pipelines are built upon conventional discrete Fourier transform (DFT) preprocessing and deep neural network classifier hybrid methods, with a majority of previous works focusing on designing the downstream classifier to improve overall accuracy. In this work, we take a step back and look at the preprocessing module. To avoid the drawbacks of conventional DFT preprocessing, we propose a complex-weighted learnable preprocessing module, named CubeLearn, to directly extract features from raw radar signal and build an end-to-end deep neural network for mmWave FMCW radar motion recognition applications. Extensive experiments show that our CubeLearn module consistently improves the classification accuracies of different pipelines, especially, benefiting those simpler models, which are more likely to be used on edge devices due to their computational efficiency. We provide ablation studies on initialization methods and structure of the proposed module, as well as an evaluation of the running time on PC and edge devices. This work also serves as a comparison of different approaches toward data cube slicing. Through our task-agnostic design, we propose a first step toward a generic end-to-end solution for radar recognition problems.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
ddddd发布了新的文献求助10
1秒前
1秒前
ding应助cly采纳,获得10
2秒前
3秒前
3秒前
Bella完成签到,获得积分10
5秒前
Robe发布了新的文献求助10
6秒前
oyc发布了新的文献求助10
6秒前
榜一大哥的负担完成签到 ,获得积分10
8秒前
长安发布了新的文献求助10
9秒前
10秒前
oyc完成签到,获得积分10
14秒前
Elio发布了新的文献求助30
14秒前
15秒前
16秒前
丘比特应助12544593556采纳,获得10
20秒前
jebert发布了新的文献求助10
20秒前
Elio完成签到,获得积分10
22秒前
枫桥夜泊完成签到 ,获得积分10
22秒前
22秒前
弥淮发布了新的文献求助10
26秒前
无花果应助任我行采纳,获得10
29秒前
32秒前
大脚仙完成签到,获得积分10
32秒前
弥淮完成签到,获得积分10
32秒前
33秒前
丘比特应助dasdsa采纳,获得10
34秒前
34秒前
jebert完成签到,获得积分10
34秒前
35秒前
勤劳小蕊完成签到,获得积分10
35秒前
充电宝应助Robe采纳,获得10
36秒前
傅全有发布了新的文献求助10
37秒前
娄医生发布了新的文献求助10
37秒前
39秒前
43秒前
44秒前
44秒前
彭于晏应助傅全有采纳,获得10
45秒前
48秒前
高分求助中
Evolution 10000
ISSN 2159-8274 EISSN 2159-8290 1000
Becoming: An Introduction to Jung's Concept of Individuation 600
Ore genesis in the Zambian Copperbelt with particular reference to the northern sector of the Chambishi basin 500
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3161114
求助须知:如何正确求助?哪些是违规求助? 2812494
关于积分的说明 7895538
捐赠科研通 2471395
什么是DOI,文献DOI怎么找? 1315941
科研通“疑难数据库(出版商)”最低求助积分说明 631074
版权声明 602103