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Automating the Timed Up and Go Test Using a Depth Camera.

Amandine Dubois¹, Titus Bihl², Jean-Pierre Bresciani³

¹Department of Medicine, University of Fribourg, 1700 Fribourg, Switzerland. amandine.dubois@unifr.ch.

Sensors (Basel, Switzerland)

|December 23, 2017

Summary

This summary is machine-generated.

Automating the Timed Up and Go (TUG) test with Kinect sensors reduces subjectivity in fall risk assessment. This technology provides objective, detailed patient performance data for more reliable fall risk identification.

Keywords:

automated clinical test depth camera elderly people fall prevention objective assessment timed up and go

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Area of Science:

Biomechanics
Gerontology
Rehabilitation Engineering

Background:

Fall prevention is a significant societal challenge.
The Timed Up and Go (TUG) test is a common tool for assessing fall risk.
Current TUG test administration suffers from subjectivity and variability.

Purpose of the Study:

To automate the TUG test using Microsoft Kinect sensors.
To reduce subjectivity in TUG test outcome measures.
To provide objective and detailed patient performance data for fall risk assessment.

Main Methods:

Utilized Microsoft Kinect ambient sensors to capture depth images.
Developed algorithms to automatically identify TUG test phases from depth data.
Measured and assessed standard TUG parameters and extracted additional performance metrics.

Main Results:

Automated TUG test durations closely matched clinician measurements (0.001 s difference).
Additional parameters related to gait, turning, and sitting were extracted.
The system accurately discriminated between low and high fall risk individuals using these parameters.

Conclusions:

Automating the TUG test with Kinect offers a reliable method for objective fall risk assessment.
The system enhances assessment robustness and detail by analyzing gait and movement patterns.
This technology has the potential to improve fall prevention strategies.