Resumé
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.
| Originalsprog | Engelsk |
|---|---|
| Titel | Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies, Biostec 2018; Biodevices 2018, 19-21 January 2018, Funchal, Madeira, Portugal |
| Redaktører | Sergi Bermudez i Badia, Alberto Cliquet, Alberto Cliquet, Hugo Gamboa, Ana Fred |
| Antal sider | 8 |
| Vol/bind | 1 |
| Forlag | SCITEPRESS Digital Library |
| Publikationsdato | 2018 |
| Sider | 128-135 |
| ISBN (Trykt) | 978-989-758-277-6 |
| DOI | |
| Status | Udgivet - 2018 |
| Begivenhed | 11th International Conference on Biomedical Engineering Systems and Technologies, Biostec 2018; Biodevices 2018 - Funchal, Madeira, Portugal Varighed: 19 jan. 2018 → 21 jan. 2018 |
Konference
| Konference | 11th International Conference on Biomedical Engineering Systems and Technologies, Biostec 2018; Biodevices 2018 |
|---|---|
| Land | Portugal |
| By | Funchal, Madeira |
| Periode | 19/01/2018 → 21/01/2018 |
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Evaluating accuracy and usability of Microsoft Kinect sensors and wearable sensor for tele knee rehabilitation after knee operation. / Naeemabadi, Mohammad Reza; Dinesen, Birthe Irene; Andersen, Ole Kæseler; Najafi, Samira; Hansen, John.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies, Biostec 2018; Biodevices 2018, 19-21 January 2018, Funchal, Madeira, Portugal. red. / Sergi Bermudez i Badia; Alberto Cliquet; Alberto Cliquet; Hugo Gamboa; Ana Fred. Bind 1 SCITEPRESS Digital Library, 2018. s. 128-135.Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
TY - GEN
T1 - Evaluating accuracy and usability of Microsoft Kinect sensors and wearable sensor for tele knee rehabilitation after knee operation
AU - Naeemabadi, Mohammad Reza
AU - Dinesen, Birthe Irene
AU - Andersen, Ole Kæseler
AU - Najafi, Samira
AU - Hansen, John
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Accelerometer
KW - IMU
KW - Inertial Measure Units
KW - Knee Angle
KW - Knee Rehabilitation
KW - Microsoft Kinect
KW - Wearable Sensors
UR - http://www.scopus.com/inward/record.url?scp=85051707327&partnerID=8YFLogxK
U2 - 10.5220/0006578201280135
DO - 10.5220/0006578201280135
M3 - Article in proceeding
SN - 978-989-758-277-6
VL - 1
SP - 128
EP - 135
BT - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies, Biostec 2018; Biodevices 2018, 19-21 January 2018, Funchal, Madeira, Portugal
A2 - Bermudez i Badia, Sergi
A2 - Cliquet, Alberto
A2 - Cliquet, Alberto
A2 - Gamboa, Hugo
A2 - Fred, Ana
PB - SCITEPRESS Digital Library
ER -