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Authors: MReza Naeemabadi 1 ; Birthe Dinesen 1 ; Ole Kæseler Andersen 1 ; Samira Najafi 2 and John Hansen 1

Affiliations: 1 Faculty of Medicine, Aalborg University, Denmark ; 2 Mashhad University of Medical Sceince, Iran, Islamic Republic of

Keyword(s): Microsoft Kinect, IMU, Accelerometer, Inertial Measure Units, Knee Angle, Knee Rehabilitation, Wearable Sensors.

Abstract: The Microsoft Kinect sensors and wearable sensors are considered as low-cost portable alternative of advanced marker-based motion capture systems for tracking human physical activities. These sensors are widely utilized in several clinical applications. Many studies were conducted to evaluate accuracy, reliability, and usability of the Microsoft Kinect sensors for tracking in static body postures, gait and other daily activities. This study was aimed to asses and compare accuracy and usability of both generation of the Microsoft Kinect sensors and wearable sensors for tracking daily knee rehabilitation exercises. Hence, several common exercises for knee rehabilitation were utilized. Knee angle was estimated as an outcome. The results indicated only second generation of Microsoft Kinect sensors and wearable sensors had acceptable accuracy, where average root mean square error for Microsoft Kinect v2, accelerometers and inertial measure units were 2.09°, 3.11°, and 4.93° respectively. Both generation of Microsoft Kinect sensors were unsuccessful to track joint position while the subject was lying in a bed. This limitation may argue usability of Microsoft Kinect sensors for knee rehabilitation applications. (More)

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Paper citation in several formats:
Naeemabadi, M.; Dinesen, B.; Andersen, O.; Najafi, S. and Hansen, J. (2018). Evaluating Accuracy and Usability of Microsoft Kinect Sensors and Wearable Sensor for Tele Knee Rehabilitation after Knee Operation. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - BIODEVICES; ISBN 978-989-758-277-6; ISSN 2184-4305, SciTePress, pages 128-135. DOI: 10.5220/0006578201280135

@conference{biodevices18,
author={MReza Naeemabadi. and Birthe Dinesen. and Ole Kæseler Andersen. and Samira Najafi. and John Hansen.},
title={Evaluating Accuracy and Usability of Microsoft Kinect Sensors and Wearable Sensor for Tele Knee Rehabilitation after Knee Operation},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - BIODEVICES},
year={2018},
pages={128-135},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006578201280135},
isbn={978-989-758-277-6},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - BIODEVICES
TI - Evaluating Accuracy and Usability of Microsoft Kinect Sensors and Wearable Sensor for Tele Knee Rehabilitation after Knee Operation
SN - 978-989-758-277-6
IS - 2184-4305
AU - Naeemabadi, M.
AU - Dinesen, B.
AU - Andersen, O.
AU - Najafi, S.
AU - Hansen, J.
PY - 2018
SP - 128
EP - 135
DO - 10.5220/0006578201280135
PB - SciTePress

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