Acquiring Kinematics of Lower extremity with Kinect

Year 2021, Issue: 32, 92 - 100, 31.12.2021

İrfan Kösesoy , Cemil Öz

https://doi.org/10.31590/ejosat.1041675

Abstract

Gait analysis is used in monitoring the procedures of treatment and determining many illnesses notably musculoskeletal system disorders. Gait analysis has been carried out with divergent methods for a long time. In this study, kinematic parameters of lower human extremities are determined using Kinect, a camera called Time of Flight that is usually used in the entertainment sector. Kinect is recommended as a low-cost solution for existing gait analysis systems. Kinematic parameters that are used to analyze walking are found by filtering RGB images of colored markers that are attached to joints. 3D world coordinates of the marker centers were determined and labeled by mapping the depth information, which is obtained from Kinect, on RGB images. We used the Kalman filter to estimate the coordinates of markers when the coordinates cannot be accurately determined because of motion blurring. 15 kinematic parameters for each joint are extracted from the coordinates of these markers.

Keywords

Human Motion Analysis, Microsoft Kinect, Kinematics, Gait.

Kinect Kullanarak Alt Ekstremiteye Ait Kinematiğin Elde Edilmesi

Abstract

Yürüyüş analizi, tedavi süreçlerinin izlenmesinde ve başta kas-iskelet sistemi rahatsızlıkları olmak üzere birçok hastalığın belirlenmesinde farklı teknikler kullanılarak yapılmaktadır. Bu çalışmada, genellikle eğlence sektöründe kullanılan Time of Flight adlı bir kamera olan Kinect kullanılarak alt insan ekstremitelerinin kinematik parametreleri belirlendi. Çalışmada önerilen sistem, mevcut yürüyüş analiz sistemleri için düşük maliyetli bir çözüm olarak önerildi. Yürümeyi analiz etmek için kullanılan kinematik parametreler, eklemlere eklenen renkli işaretçilerin RGB görüntülerini filtreleyerek bulundu. Kinect'ten elde edilen derinlik bilgisi RGB görüntüler üzerine haritalanarak işaretleyici merkezlerinin üç boyutlu dünya koordinatları belirlenmiş ve etiketlenmiştir. Hareket bulanıklığı nedeniyle koordinatların tam olarak belirlenemediği işaretçilerin konumları Kalman filtresi ile tahmin edildi. Her eklem için 15 kinetik parametre bu işaretçilerin koordinat bilgileri kullanılarak çıkarıldı.

Keywords

Yürüme Analizi, Microsoft Kinect, Yürüme Kinematiği.

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