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Updated: May 5, 2026

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor

Published on: February 12, 2018

Evaluation of upper extremity reachable workspace using Kinect camera.

Gregorij Kurillo¹, Alic Chen², Ruzena Bajcsy³

¹Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA, USA Department of Physical Medicine and Rehabilitation, University of California at Davis Medical Center, Sacramento, CA, USA.

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine

|November 29, 2013

Summary

This summary is machine-generated.

This study introduces a new 3D reachable workspace assessment for upper extremity function using Microsoft Kinect. The method is accurate and reliable for clinical evaluation of neurological and musculoskeletal conditions.

Keywords:

Kinect functional evaluation reachable workspace upper extremity

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Area of Science:

Biomechanics
Rehabilitation Engineering
Clinical Assessment

Background:

Current clinical assessments for upper extremity function lack quantitative, reliable, and informative measures.
There is a need for advanced methods to assess overall functional capability.

Purpose of the Study:

To present a novel methodology for assessing upper extremity impairments.
To utilize the concept of 3-dimensional reachable workspace using Microsoft Kinect for this assessment.

Main Methods:

Quantified reachable workspace by calculating the relative surface area of hand movement within a unit hemi-sphere.
Evaluated the accuracy of joint positions, joint angles, and reachable workspace computation against a motion capture system.
Utilized Microsoft Kinect for 3D motion capture.

Main Results:

Joint position accuracy was within 66.3 mm.
Dynamic angle measurements showed deviations between 9° and 28°.
Reachable workspace envelope demonstrated high agreement (correlation coefficients 0.86-0.93) and repeatability between Kinect and motion capture systems.

Conclusions:

Kinect-based 3D reachable workspace analysis offers accurate and reliable results comparable to motion capture systems.
This method shows promise for clinical evaluation of upper extremity impairments in neurological and musculoskeletal disorders.
The proposed technique enhances quantitative functional assessment.