Zobrazeno 1 - 10
of 379
pro vyhledávání: '"Human motion recognition"'
Autor:
Xiaoyu Luo, Qiusheng Li
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Addressing the issue of low recognition accuracy in human motion detection when relying on a single feature, a novel approach integrating Frequency Modulated Continuous Wave (FMCW) radar technology with a Residual Network (ResNet) architectu
Externí odkaz:
https://doaj.org/article/eaa88ba9f91e418797c469828a9b0798
Publikováno v:
Frontiers in Physiology, Vol 15 (2024)
IntroductionExercise physiology investigates the complex and multifaceted human body responses to physical activity (PA). The integration of electrical bioimpedance (EBI) has emerged as a valuable tool for deepening our understanding of muscle activi
Externí odkaz:
https://doaj.org/article/06d9c5b4fb774d64b70432cde9c61e9a
Publikováno v:
AIMS Mathematics, Vol 9, Iss 7, Pp 17901-17916 (2024)
Lately, as a subset of human-centric studies, vision-oriented human action recognition has emerged as a pivotal research area, given its broad applicability in fields like healthcare, video surveillance, autonomous driving, sports, and education. Thi
Externí odkaz:
https://doaj.org/article/ccee04ac3c8e4a86a6166d54a99f0eea
Autor:
Tao Peng
Publikováno v:
SLAS Technology, Vol 29, Iss 5, Pp 100181- (2024)
In the pursuit of advancing health and rehabilitation, the quintessence of human motion recognition technology has been underscored through its quantitative contributions to physical performance assessment. This research delineates the inception of a
Externí odkaz:
https://doaj.org/article/b3f7a582c2a942eeb1596326106df4e9
Autor:
Xiao Fang, Yuzhen Guo
Publikováno v:
IEEE Access, Vol 12, Pp 107570-107582 (2024)
Traffic accidents are a serious issue in modern society, causing significant personal and property damage. To better understand and prevent these accidents, traffic accident restoration technology has been developed. This study employs a multidimensi
Externí odkaz:
https://doaj.org/article/bed7b495974d4baa82c0d94dc8657d67
Publikováno v:
IEEE Access, Vol 12, Pp 5684-5707 (2024)
The central perspective of this review is to categorize research in Human Motion Recognition (HMR) over the past decade into two significant categories: vision sensor-based (VS) methods and wearable sensor-based (WS) methods. Within each category, re
Externí odkaz:
https://doaj.org/article/796a01c5a0d84bfe85c8791ad7ab720d
Autor:
Jiao Suo, Yifan Liu, Jianfei Wang, Meng Chen, Keer Wang, Xiaomeng Yang, Kuanming Yao, Vellaisamy A. L. Roy, Xinge Yu, Walid A. Daoud, Na Liu, Jianping Wang, Zuobin Wang, Wen Jung Li
Publikováno v:
Advanced Science, Vol 11, Iss 16, Pp n/a-n/a (2024)
Abstract Motion recognition (MR)‐based somatosensory interaction technology, which interprets user movements as input instructions, presents a natural approach for promoting human‐computer interaction, a critical element for advancing metaverse a
Externí odkaz:
https://doaj.org/article/17ba7aaa31824ff9b5b9d62e57cbe836
Publikováno v:
Radioengineering, Vol 32, Iss 2, Pp 248-255 (2023)
Radar technologies reserve a large latent capacity in dealing with human motion recognition (HMR). For the problem that it is challenging to quickly and accurately classify various complex motions, an HMR algorithm combing the attention mechanism and
Externí odkaz:
https://doaj.org/article/9eb0b12e7f5f4e0db57bc7c40e4b3a1f
Publikováno v:
Sensors, Vol 24, Iss 7, p 2377 (2024)
Functional electrical stimulation (FES) devices are widely employed for clinical treatment, rehabilitation, and sports training. However, existing FES devices are inadequate in terms of wearability and cannot recognize a user’s intention to move or
Externí odkaz:
https://doaj.org/article/e81cf669fbef4ef98e5e5362e9669906
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