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Image-based fall detection and classification of a user with a walking support system
Sajjad TAGHVAEI, Kazuhiro KOSUGE
《机械工程前沿（英文）》 2018年 第13卷 第3期 页码 427-441 doi: 10.1007/s11465-017-0465-7
The classification of visual human action is important in the development of systems that interact with humans. This study investigates an image-based classification of the human state while using a walking support system to improve the safety and dependability of these systems. We categorize the possible human behavior while utilizing a walker robot into eight states (i.e., sitting, standing, walking, and five falling types), and propose two different methods, namely, normal distribution and hidden Markov models (HMMs), to detect and recognize these states. The visual feature for the state classification is the centroid position of the upper body, which is extracted from the user’s depth images. The first method shows that the centroid position follows a normal distribution while walking, which can be adopted to detect any non-walking state. The second method implements HMMs to detect and recognize these states. We then measure and compare the performance of both methods. The classification results are employed to control the motion of a passive-type walker (called “RT Walker”) by activating its brakes in non-walking states. Thus, the system can be used for sit/stand support and fall prevention. The experiments are performed with four subjects, including an experienced physiotherapist. Results show that the algorithm can be adapted to the new user’s motion pattern within 40 s, with a fall detection rate of 96.25% and state classification rate of 81.0%. The proposed method can be implemented to other abnormality detection/classification applications that employ depth image-sensing devices.
关键词： fall detection walking support hidden Markov model multivariate analysis
巨人的衰落 神经科学基础研究的凋亡 Views & Comments
Sergio Canavero, Vincenzo Bonicalzi
《工程（英文）》 2015年 第1卷 第4期 页码 409-412 doi: 10.15302/J-ENG-2015092
《环境科学与工程前沿（英文）》 2023年 第17卷 第9期 doi: 10.1007/s11783-023-1705-1
● A study assessing the temperature-injury relationship was conducted among students.
关键词： Ambient temperature Fall Road traffic injury Student China
刘黎平,宗蓉,齐彦斌,刘健
《中国工程科学》 2012年 第14卷 第9期 页码 64-71
首先根据滴谱假设分析了层状云降水回波强度、径向速度和速度谱宽与降水微物理参数的关系，检验了云雷达探测数据的可用性；然后在忽略空气上升速度和湍流对雷达观测的速度谱宽影响前提下，利用测云雷达观测的回波强度、粒子下落速度和速度谱宽数据进行了液态水含量和滴谱参数的反演试验，并与飞机观测的滴谱进行了对比分析。结果表明，8 mm雷达观测得到的3个量与雨滴谱分析得到的关系比较接近；层状云粒子尺度、数密度和含水量从云顶到云的回波强中心有明显的变化，粒子尺度的增加是回波强度增加的重要原因。毫米波雷达反演得到的降水微物理参数和飞机观测数据具有可比性。
基于捕获点理论的下肢步行康复外骨骼防跌倒步态规划 Research Article
Mei-ying Deng, Zhang-yi Ma, Ying-nan Wang, Han-song Wang, Yi-bing Zhao, Qian-xiao Wei, Wei Yang, Can-jun Yang,ycj@zju.edu.cn
《信息与电子工程前沿（英文）》 2019年 第20卷 第10期 页码 1322-1330 doi: 10.1631/FITEE.1800777
标题 作者 时间 类型 操作
Image-based fall detection and classification of a user with a walking support system
Sajjad TAGHVAEI, Kazuhiro KOSUGE
期刊论文
Evaluating the short-term effect of ambient temperature on non-fatal outdoor falls and road traffic injuries among children and adolescents in China: a time-stratified case-crossover study
期刊论文
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