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Related Experiment Video

Updated: Mar 2, 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

Advanced 3D movement analysis algorithms for robust functional capacity assessment.

Asma Hassani¹, Alexandre Kubicki, France Mourey

¹Asma Hassani, Université de Bourgogne, Laboratoire LE2I, Bâtiment I3M, 64 rue de Sully, 21000, Dijon., Tel.: +33 3 80 39 36 08, Fax: +33 3 80 39 59 10,

Applied Clinical Informatics

|May 11, 2017

Summary

This summary is machine-generated.

This study enhances a system for assessing functional capacity in older adults using the Timed Up and Go test. Improved KinectTM analysis reliably detects motor changes, aiding early rehabilitation interventions.

Keywords:

3D real-time video processing Patient self-care home care and e-health clinical informatics sitting posture recognition skin detection

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Last Updated: Mar 2, 2026

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Published on: February 12, 2018

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Area of Science:

Biomedical Engineering
Gerontology
Rehabilitation Science

Background:

Frail older adults require continuous monitoring of functional capacities.
The Timed Up and Go test is a key indicator of mobility and fall risk.
Existing assessment systems face challenges with sensor operation in diverse environments.

Purpose of the Study:

To develop robust methods for analyzing Timed Up and Go movements using KinectTM.
To improve the accuracy and reliability of in-home functional capacity assessments.
To enable early detection of motor decompensation for timely rehabilitation.

Main Methods:

Utilized KinectTM sensor to analyze nine spatio-temporal parameters of the Timed Up and Go test.
Developed a video processing chain for automatic sitting posture detection and body joint extraction.
Implemented new skin detection methods for improved patient and head localization.

Main Results:

Achieved a global error of 0.67% for sitting posture detection.
Demonstrated a 96.42% success rate for trunk angle calculation.
Validated the reliability and robustness of the enhanced analysis chain.

Conclusions:

The developed system provides reliable functional level measurements correlated with clinical tests.
The enhanced system shows potential for detecting impairments in motor planning processes.
This technology can facilitate proactive rehabilitation strategies for older adults.