Add to ORKG应用人体传感器网络(body sensor networks,BSN)识别人体日常动作可以有效地提高对老年人、慢性病人,以及术后病人等特殊人群的医疗监护质量.为此建立了一个基于BSN的人体日常动作监督平台,应用采集到的加速度信号识别9个常见的人体日常动作.针对动作识别过程中存在的多传感器数据融合问题,提出一种基于耦合隐马尔可夫模型(coupled hidden Markov models,CHMMs)的动作识别方法.实验结果显示,与已有动作识别方法相比,提出的基于CHMMs的动作识别方法的识别正确率有明显的提高
Human Activity Recognition has a long history of research and requires further exploration to produc...
It is a significant technical and computational task to provide precise information regarding the ac...
Human activity recognition (HAR) with daily activities have become leading problems in human physica...
应用人体传感器网络(body sensor networks,BSN)识别人体日常动作可以有效地提高对老年人、慢性病人,以及术后病人等特殊人群的医疗监护质量.为此建立了一个基于BSN的人体日常动作监督...
基于人体传感器网络(BSN)对人体动作的识别，在远程医疗服务中具有重要应用。搭建了一个基于BSN的人体动作监测平台，实验中通过固定在人体腰部和大腿上的两个加速度传感器节点，来采集人体日常生活中的7个动...
Purpose - The purpose of this paper is to develop a health monitoring system that can measure human ...
Wireless sensor networks (WSNs) are becoming more and more attractive because of their flexibility. ...
Human activity recognition (HAR) is vital in a wide range of real-life applications such as health m...
Evaluated activity as a detail of the human physical movement has become a leading subject for resea...
Smartphones and smartwatches have become an inevitably necessary device in everyday life for the pas...
Data used in studies about physical activity is primarily collected from questionnaires and other su...
Khyam, MO ORCiD: 0000-0002-1988-2328Multi-sensor fusion strategies have been widely applied in Human...
Evaluated activity as a detail of the human physical movement has become a leading subject for resea...
Human Activity Recognition (HAR) can be widely used in medicine and military applications. Primaril...
editorial reviewedThis study is part of a larger project that focuses on the recording and analysis ...
Human Activity Recognition has a long history of research and requires further exploration to produc...
It is a significant technical and computational task to provide precise information regarding the ac...
Human activity recognition (HAR) with daily activities have become leading problems in human physica...
应用人体传感器网络(body sensor networks,BSN)识别人体日常动作可以有效地提高对老年人、慢性病人,以及术后病人等特殊人群的医疗监护质量.为此建立了一个基于BSN的人体日常动作监督...
基于人体传感器网络(BSN)对人体动作的识别，在远程医疗服务中具有重要应用。搭建了一个基于BSN的人体动作监测平台，实验中通过固定在人体腰部和大腿上的两个加速度传感器节点，来采集人体日常生活中的7个动...
Purpose - The purpose of this paper is to develop a health monitoring system that can measure human ...
Wireless sensor networks (WSNs) are becoming more and more attractive because of their flexibility. ...
Human activity recognition (HAR) is vital in a wide range of real-life applications such as health m...
Evaluated activity as a detail of the human physical movement has become a leading subject for resea...
Smartphones and smartwatches have become an inevitably necessary device in everyday life for the pas...
Data used in studies about physical activity is primarily collected from questionnaires and other su...
Khyam, MO ORCiD: 0000-0002-1988-2328Multi-sensor fusion strategies have been widely applied in Human...
Evaluated activity as a detail of the human physical movement has become a leading subject for resea...
Human Activity Recognition (HAR) can be widely used in medicine and military applications. Primaril...
editorial reviewedThis study is part of a larger project that focuses on the recording and analysis ...
Human Activity Recognition has a long history of research and requires further exploration to produc...
It is a significant technical and computational task to provide precise information regarding the ac...
Human activity recognition (HAR) with daily activities have become leading problems in human physica...