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Human Posture Recognition Using a Hybrid of Fuzzy Logic and Machine Learning Approaches

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收录情况: ◇ SCIE ◇ EI

单位: [1]School of Aerospace Engineering, Tsinghua University, Beijing 100084, China [2]College of Engineering and Engineering Sciences, University of Cincinnati, Cincinnati, OH 45221, USA [3]Rehabilitation Medicine Department, China-Japan Friendship Hospital, Beijing 100029, China
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关键词: Robots Sensors Trajectory Joints Fuzzy logic Image recognition Three-dimensional displays Human posture posture recognition lying in bed human posture dataset

摘要:
An autonomous assistive robot needs to recognize the body-limb posture of the person being assisted while he/she is lying in a bed to provide care services such as helping change the posture of the person or carrying him/her from the bed to a wheelchair. This paper presents a data-efficient classification of human postures when lying in a bed using a hybrid fuzzy logic and machine learning approach. The classifier was trained using a relatively small dataset containing 19,800 annotated depth images collected using Kinect from 32 test subjects lying in bed. An overall accuracy of 97.1% was achieved on the dataset. Furthermore, the image dataset including depth and red-green-blue (RGB) images, is available to the research community with the publication of this paper, with the hope that it can benefit other researchers.

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出版当年[2019]版:
大类 | 2 区 工程技术
小类 | 2 区 计算机:信息系统 2 区 工程:电子与电气 3 区 电信学
最新[2025]版:
大类 | 4 区 计算机科学
小类 | 4 区 计算机:信息系统 4 区 工程:电子与电气 4 区 电信学
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出版当年[2018]版:
Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Q1 TELECOMMUNICATIONS Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
最新[2023]版:
Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Q2 TELECOMMUNICATIONS

影响因子: 最新[2023版] 最新五年平均[2021-2025] 出版当年[2018版] 出版当年五年平均[2014-2018] 出版前一年[2017版] 出版后一年[2019版]

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第一作者单位: [1]School of Aerospace Engineering, Tsinghua University, Beijing 100084, China
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