A computational method for physical rehabilitation assessment

Author

Brooks, Douglas ; Howard, Ayanna M.

Author_Institution

Dept. Electr. & Comput. Eng., Georgia Tech, Atlanta, GA, USA

fYear

2010

Firstpage

442

Lastpage

447

Abstract

The objective of this research effort is to advance the process of quantifying physical rehabilitation techniques by developing and validating the core technologies needed to integrate therapy instruction with human-robot interaction in order to improve upper-arm rehabilitation. The method presented uses computer vision techniques such as Motion History Imaging (MHI), edge detection, and Random Sample Consensus (RANSAC) to quantify movements through robot observation. The results are compared with ground truth data retrieved via the Trimble 5606 Robotic Total Station for the purpose of assessing the efficiency of this approach.

Keywords

biomechanics; handicapped aids; medical diagnostic computing; medical robotics; patient rehabilitation; patient treatment; Trimble 5606 Robotic Total Station; computer vision techniques; edge detection; human movement; human-robot interaction; motion history imaging; physical rehabilitation assessment; random sample consensus; therapy instruction; upper-arm rehabilitation; Angular velocity; History; Image edge detection; Medical treatment; Read only memory; Robots;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Robotics and Biomechatronics (BioRob), 2010 3rd IEEE RAS and EMBS International Conference on

ISSN

2155-1774

Print_ISBN

978-1-4244-7708-1

Type

conf

DOI

10.1109/BIOROB.2010.5626047

Filename

5626047