Literature DB >> 23400149

Kinect-based posture tracking for correcting positions during exercise.

Cesar Guerrero1, Alvaro Uribe-Quevedo.   

Abstract

The Kinect sensor has opened the path for developing numerous applications in several different areas. Medical and health applications are benefiting from the Kinect as it allows non-invasive body motion capture that can be used in motor rehabilitation and phobia treatment. A major advantage of the Kinect is that allows developing solutions that can be used at home or even the office thus, expanding the user freedom for interacting with complementary solutions to its physical activities without requiring any traveling. This paper present a Kinect-based posture tracking software for assisting the user in successfully match postures required in some exercises for strengthen body muscles. Unlike several video games available, this tool offers a user interface for customizing posture parameters, so it can be enhanced by healthcare professionals or by their guidance through the user.

Entities:  

Mesh:

Year:  2013        PMID: 23400149

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  6 in total

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Authors:  Yangfan Xu; Meiqinzi Tong; Wai-Kit Ming; Yangyang Lin; Wangxiang Mai; Weixin Huang; Zhuoming Chen
Journal:  JMIR Serious Games       Date:  2021-03-24       Impact factor: 4.143

2.  Automated and accurate assessment for postural abnormalities in patients with Parkinson's disease based on Kinect and machine learning.

Authors:  Zhuoyu Zhang; Ronghua Hong; Ao Lin; Xiaoyun Su; Yue Jin; Yichen Gao; Kangwen Peng; Yudi Li; Tianyu Zhang; Hongping Zhi; Qiang Guan; LingJing Jin
Journal:  J Neuroeng Rehabil       Date:  2021-12-04       Impact factor: 4.262

3.  Mechanism of Kinect-based virtual reality training for motor functional recovery of upper limbs after subacute stroke.

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Journal:  Neural Regen Res       Date:  2013-11-05       Impact factor: 5.135

Review 4.  A Review on Technical and Clinical Impact of Microsoft Kinect on Physical Therapy and Rehabilitation.

Authors:  Hossein Mousavi Hondori; Maryam Khademi
Journal:  J Med Eng       Date:  2014-12-10

5.  Detection of Infantile Movement Disorders in Video Data Using Deformable Part-Based Model.

Authors:  Muhammad Hassan Khan; Manuel Schneider; Muhammad Shahid Farid; Marcin Grzegorzek
Journal:  Sensors (Basel)       Date:  2018-09-21       Impact factor: 3.576

6.  Marker-Based Movement Analysis of Human Body Parts in Therapeutic Procedure.

Authors:  Muhammad Hassan Khan; Martin Zöller; Muhammad Shahid Farid; Marcin Grzegorzek
Journal:  Sensors (Basel)       Date:  2020-06-10       Impact factor: 3.576

  6 in total

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