Investigating the impact of a motion capture system on Microsoft Kinect v2 recordings: A caution for using the technologies together

Microsoft Kinect sensors are considered to be low-cost popular RGB-D sensors and are widely employed in various applications. Consequently, several studies have been conducted to evaluate the reliability and validity of Microsoft Kinect sensors, and noise models have been proposed for the sensors. S...

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Published in:PloS one 2018-09, Vol.13 (9), p.e0204052-e0204052
Main Authors: Naeemabadi, MReza, Dinesen, Birthe, Andersen, Ole Kæseler, Hansen, John
Format: Article
Language:English
Subjects:
Algorithms
Biology and Life Sciences
Cameras
Depth perception
Engineering and Technology
Interference
International conferences
Laboratories
Medicine
Medicine and Health Sciences
Motion capture
Neurosciences
Noise
Physical Sciences
Recording
Reliability analysis
Research and Analysis Methods
Sensors
Signal processing
Smoothness
Studies
Telemedicine
Vegetation
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description Microsoft Kinect sensors are considered to be low-cost popular RGB-D sensors and are widely employed in various applications. Consequently, several studies have been conducted to evaluate the reliability and validity of Microsoft Kinect sensors, and noise models have been proposed for the sensors. Several studies utilized motion capture systems as a golden standard to assess the Microsoft Kinect sensors, and none of them reported interference between Kinect sensors and motion capture systems. This study aimed to investigate possible interference between a golden standard (i.e., Qualisys) and Microsoft Kinect v2. The depth recordings of Microsoft Kinect sensors were processed to estimate the intensity of interference. A flat non-reflective surface was utilized, and smoothness of the surface was measured using Microsoft Kinect v2 in absence and presence of an active motion capture system. The recording was repeated in five different distances. The results indicated that Microsoft Kinect v2 is distorted by the motion capture system and the distortion is increasing by increasing distance between Kinect and region of interest. Regarding the results, it can be concluded that the golden standard motion capture system is robust against interference from the Microsoft Kinect sensors.
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subjects Algorithms
Biology and Life Sciences
Cameras
Depth perception
Engineering and Technology
Interference
International conferences
Laboratories
Medicine
Medicine and Health Sciences
Motion capture
Neurosciences
Noise
Physical Sciences
Recording
Reliability analysis
Research and Analysis Methods
Sensors
Signal processing
Smoothness
Studies
Telemedicine
Vegetation
title Investigating the impact of a motion capture system on Microsoft Kinect v2 recordings: A caution for using the technologies together
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