PostureCheck: Posture Modeling for Exercise Assessment Using the Microsoft Kinect

被引:0
|
作者
Saraee, Elham [1 ]
Singh, Saurabh [1 ]
Joshi, Ajjen [1 ]
Betke, Margrit [1 ]
机构
[1] Boston Univ, Dept Comp Sci, 111 Cummington St, Boston, MA 02215 USA
基金
美国国家科学基金会;
关键词
Bayesian Estimation; Majority Voting; Microsoft Kinect; PostureCheck; Upper Body Physical Therapy;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Evaluation of a person's posture while exercising is important in physical therapy. During a therapy session, a physical therapist or a monitoring system must assure that the person is performing an exercise correctly to achieve the desired therapeutic effect. In this work, we introduce a system called POSTURECHECK for exercise assessment in physical therapy. POSTURECHECK assesses the posture of a person who is exercising in front of the camera of the Microsoft Kinect. POSTURECHECK extracts unique features from the person's upper body during the exercise, and classifies the sequence of postures as correct or incorrect using Bayesian estimation and majority voting. If POSTURECHECK recognizes an incorrect posture, it specifies what the user can do to correct it. The result of our experiment shows that POSTURECHECK is capable of recognizing the incorrect postures in real time while the user is performing an exercise.
引用
收藏
页数:2
相关论文
共 50 条
  • [1] Validity and reliability of head posture measurement using Microsoft Kinect
    Oh, Baek-Lok
    Kim, Jongmin
    Kim, Jongshin
    Hwang, Jeong-Min
    Lee, Jehee
    [J]. BRITISH JOURNAL OF OPHTHALMOLOGY, 2014, 98 (11) : 1560 - 1564
  • [2] Balance Assessment using Microsoft Xbox Kinect
    Eltoukhy, Moataz
    Kuenze, Christopher
    Oh, Jeonghoon
    Signorile, Joseph
    [J]. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2017, 49 (05): : 315 - 315
  • [3] Real-Time Posture Reconstruction for Microsoft Kinect
    Shum, Hubert P. H.
    Ho, Edmond S. L.
    Jiang, Yang
    Takagi, Shu
    [J]. IEEE TRANSACTIONS ON CYBERNETICS, 2013, 43 (05) : 1357 - 1369
  • [4] Reliability and validity of the Microsoft Kinect for evaluating static foot posture
    Benjamin F Mentiplay
    Ross A Clark
    Alexandra Mullins
    Adam L Bryant
    Simon Bartold
    Kade Paterson
    [J]. Journal of Foot and Ankle Research, 6
  • [5] Sleep Monitoring System Based on Body Posture Movement using Microsoft Kinect Sensor
    Febriana, Nityacas
    Rizal, Achmad
    Susanto, Erwin
    [J]. 3RD BIOMEDICAL ENGINEERING'S RECENT PROGRESS IN BIOMATERIALS, DRUGS DEVELOPMENT, AND MEDICAL DEVICES, 2019, 2092
  • [6] Reliability and validity of the Microsoft Kinect for evaluating static foot posture
    Mentiplay, Benjamin F.
    Clark, Ross A.
    Mullins, Alexandra
    Bryant, Adam L.
    Bartold, Simon
    Paterson, Kade
    [J]. JOURNAL OF FOOT AND ANKLE RESEARCH, 2013, 6
  • [7] Rotation and Scale Invariant Posture Recognition using Microsoft Kinect Skeletal Tracking Feature
    Monir, Samiul
    Rubya, Sabirat
    Ferdous, Hasan Shahid
    [J]. 2012 12TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS (ISDA), 2012, : 404 - 409
  • [8] Computer Aided Posture Screening Using the Microsoft Kinect on Professional Computer Users for Malicious Postures
    Gal-Nadasan, Norbert
    Stoicu-Tivadar, Vasile
    Poenaru, Dan V.
    Popa-Andrei, Diana
    Gal-Nadasan, Emanuela
    [J]. SOFT COMPUTING APPLICATIONS, SOFA 2016, VOL 1, 2018, 633 : 298 - 307
  • [9] Yoga Posture Recognition By Detecting Human Joint Points In Real Time Using Microsoft Kinect
    Islam, Muhammad Usama
    Mahmud, Hasan
    Bin Ashraf, Faisal
    Hossain, Iqbal
    Hasan, Md. Kamrul
    [J]. 2017 IEEE REGION 10 HUMANITARIAN TECHNOLOGY CONFERENCE (R10-HTC), 2017, : 668 - 673
  • [10] Validity of the Microsoft Kinect for assessment of postural control
    Clark, Ross A.
    Pua, Yong-Hao
    Fortin, Karine
    Ritchie, Callan
    Webster, Kate E.
    Denehy, Linda
    Bryant, Adam L.
    [J]. GAIT & POSTURE, 2012, 36 (03) : 372 - 377