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Related Concept Videos

Knee Joint01:23

Knee Joint

3.0K
The knee joint is the most complicated joint in the body. It consists of three articulations– two tibiofemoral and one patellofemoral. As is characteristic of synovial joints, the knee joint has a thin articular capsule that partially surrounds this joint cavity. Additionally, several ligaments, muscles, and cartilaginous structures support the movement of the knee.
A total of seven ligaments support the knee joint. The patellar ligament, which is also attached to the quadriceps femoris...
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Related Experiment Video

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Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
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Quantifying gait compensation in knee osteoarthritis using smartphone-based motion capture (OpenCap).

Jia-Jing Xu1, Yi Xu2, Peng-Fei Shi1

  • 1Jinhua Municipal Central Hospital, Zhejiang University, Jinhua City, Zhejiang, China.

Frontiers in Sports and Active Living
|December 1, 2025
PubMed
Summary

This study shows that markerless motion capture with OpenCap effectively identifies gait changes in knee osteoarthritis (KOA) patients. This low-cost technology aids in clinical assessment and rehabilitation planning for KOA.

Keywords:
OpenCapbiomechanical gait analysisknee osteoarthritisrange of motionsmartphone-based motion capture system

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Area of Science:

  • Biomechanics
  • Medical Technology
  • Orthopedics

Background:

  • Knee osteoarthritis (KOA) is a common degenerative joint disease causing abnormal gait and reduced mobility.
  • These gait changes lead to compensatory mechanisms, impacting quality of life and increasing fall risk.
  • Accurate gait assessment is crucial for KOA diagnosis, monitoring, and rehabilitation.

Purpose of the Study:

  • To investigate lower limb kinematic compensatory mechanisms in KOA patients during walking.
  • To evaluate the feasibility and accuracy of the markerless motion capture system, OpenCap, in a clinical setting.

Main Methods:

  • 33 KOA patients and 78 healthy controls participated.
  • Two smartphones recorded walking trials, with OpenCap used for gait analysis.
  • Statistical analysis compared gait parameters between KOA patients and controls.

Main Results:

  • KOA patients exhibited reduced walking speed, stride length, and knee flexion-extension range.
  • Increased step width, pelvic tilt, and hip internal rotation were observed in KOA patients.
  • OpenCap demonstrated reliable and accurate motion data, showing potential for hospital-based gait assessment.

Conclusions:

  • OpenCap effectively captures KOA-related gait abnormalities and compensatory movements.
  • The system's low cost and ease of use support its application in clinical settings.
  • OpenCap can aid in dynamic evaluation and rehabilitation planning for knee osteoarthritis patients.