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Related Experiment Video

Updated: Feb 8, 2026

Measuring Exercise Levels in Drosophila melanogaster Using the Rotating Exercise Quantification System REQS

Measuring Exercise Levels in Drosophila melanogaster Using the Rotating Exercise Quantification System REQS

Published on: May 27, 2018

Non-Contact Respiration Measurement during Exercise Tolerance Test by Using Kinect Sensor.

Hirooki Aoki¹, Hidetoshi Nakamura²

¹Chitose Institute of Technology, Chitose 066-8655, Japan. h-aokil@photon.chitose.ac.jp.

Sports (Basel, Switzerland)

|June 19, 2018

Summary

This study introduces a non-contact method for measuring respiration during exercise stress tests using Kinect V2 motion capture. The technique accurately estimates the ventilation threshold, vital for assessing exercise intensity.

Keywords:

Kinect sensor motion capture non-contact respiration measurement

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Published on: February 2, 2024

Area of Science:

Exercise Physiology
Biomedical Engineering
Motion Capture Technology

Background:

Traditional respiration measurement during exercise stress tests can be intrusive.
Accurate assessment of ventilation threshold is crucial for exercise intensity evaluation.
Developing non-contact methods offers potential for improved patient comfort and data acquisition.

Purpose of the Study:

To assess the feasibility of non-contact respiration measurement during exercise stress tests using Kinect V2.
To evaluate the accuracy of estimating the ventilation threshold using this novel method.
To compare the proposed non-contact method with traditional expiratory gas analysis.

Main Methods:

Utilized Kinect V2 sensor's motion capture to track chest and abdomen movements.
Defined a region of interest based on shoulder and hip joints, updating dynamically with body movement.
Extracted respiration signals by filtering out pedaling frequency components from volume time-series data.
Estimated ventilation threshold as the point of increased respiration rate.

Main Results:

Non-contact respiration evaluation was successful up to exercise intensities of approximately 160 W.
The ventilation threshold estimated by the proposed method showed a close agreement (±10 W) with expiratory gas analyzer results.
Demonstrated the potential for accurate, non-contact respiratory monitoring during cycling.

Conclusions:

The Kinect V2-based non-contact method provides a viable alternative for respiration measurement during exercise stress tests.
This approach enables accurate estimation of the ventilation threshold, comparable to established methods.
Non-contact respiratory monitoring can enhance exercise physiology assessments, particularly in clinical and research settings.