Motion Recognition for Kinect Sensor Data Using Machine Learning Algorithm with PNF Patterns of Upper Extremities-Reference-Cited by-同舟云学术

Motion Recognition for Kinect Sensor Data Using Machine Learning Algorithm with PNF Patterns of Upper Extremities

Published:2015-08-31 Issue:4 Volume:27 Page:214-220
ISSN:1229-0475
Container-title:The Journal of Korean Physical Therapy
language:en
Short-container-title:J Kor Phys Ther

Author:

Kim Sangbin¹,Kim Giwon²,Kim Junesun³⁴

Affiliation:

1. Department of Physical Therapy, College of Health Science, Korea University, Department of Computer and Radio Communications Engineering (Computer Science and Engineering), Seoul, Korea

2. Department of Physical Therapy, College of Health Science, Korea University, Research Institute of Health Sciences, Korea University, Seoul, Korea

3. Department of Physical Therapy, College of Health Science, Korea University, Korea University, Research Institute of Health Sciences, Korea University, Seoul, Korea

4. Department of Public Health Sciences, Graduate School, Korea University, Seoul, Korea

Funder

Ministry of Science, ICT and Future Planning(MSIP)

Ministry of Education, Science and Technology(Korean Ministry of Education, Science and Technology)

Publisher

The Korean Society of Physical Therapy

Link

http://pdf.medrang.co.kr/JKPT/2015/027/Kpt027-04-07.pdf

Reference21 articles.

1. Jeong DH. Reliability and validity of the cap for computer access assessment of persons with physical disabilities. J Kor Phys Ther 2015;27:30-7.

2. Human motion tracking for rehabilitation—A survey

3. Systematic accuracy and precision analysis of video motion capturing systems—exemplified on the Vicon-460 system

4. Human movement analysis using stereophotogrammetry

5. Incremental recognition of pedestrians from image sequences