Reliability and agreement of Azure Kinect and Kinect v2 depth sensors in the shoulder joint range of motion estimation.

Özsoy, Umut; Yildirim, Yilmaz; Karasin, Sezen; Sekerci, Rahime; Süzen, Lütfiye Bikem

Özsoy, Umut; Yildirim, Yilmaz; Karasin, Sezen; Sekerci, Rahime; Süzen, Lütfiye Bikem.

Afiliação

Özsoy U; Akdeniz University, Faculty of Medicine, Department of Anatomy, Antalya, Turkey. Electronic address: umutozsoy@hotmail.com.
Yildirim Y; Akdeniz University, Faculty of Medicine, Department of Anatomy, Antalya, Turkey.
Karasin S; Akdeniz University, Faculty of Medicine, Department of Anatomy, Antalya, Turkey.
Sekerci R; Akdeniz University, Faculty of Medicine, Department of Anatomy, Antalya, Turkey.
Süzen LB; Antalya Bilim University, Faculty of Dentistry, Department of Anatomy, Antalya, Turkey.

J Shoulder Elbow Surg ; 31(10): 2049-2056, 2022 Oct.

Article em En | MEDLINE | ID: mdl-35562032

Assuntos

Água Potável; Articulação do Ombro; Fenômenos Biomecânicos; Humanos; Amplitude de Movimento Articular; Reprodutibilidade dos Testes; Ombro

Palavras-chave

3D motion capture; Marker-based motion analysis; depth sensors; digital analyses; markerless motion analysis; pose estimation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Articulação do Ombro / Água Potável Limite: Humans Idioma: En Revista: J Shoulder Elbow Surg Ano de publicação: 2022 Tipo de documento: Article

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