Improving Gait Analysis Techniques with Markerless Pose Estimation Based on Smartphone Location

• Published in: Bioengineering (Basel) Vol. 11; no. 2; p. 141
• Main Authors: Yang, Junhyuk, Park, Kiwon
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.01.2024
• Subjects: Accuracy; Analysis; Ankle; Cameras; Cost analysis; Data collection; Data entry; Datasets; Deep learning; Efficiency; Fitness equipment; Gait; gait analysis; human pose estimation; Investigations; Kinematics; lower extremity; markerless; Medical research; Medicine, Experimental; Motion capture; Neural networks; Placement; Pose estimation; Running; Smart phones; Smartphones; Three dimensional motion; South Korea; kinematics; human pose estimation; markerless; gait analysis; lower extremity
• DOI: 10.3390/bioengineering11020141
• ISSN: 2306-5354

Marker-based 3D motion capture systems, widely used for gait analysis, are accurate but have disadvantages such as cost and accessibility. Whereas markerless pose estimation has emerged as a convenient and cost-effective alternative for gait analysis, challenges remain in achieving optimal accuracy. Given the limited research on the effects of camera location and orientation on data collection accuracy, this study investigates how camera placement affects gait assessment accuracy utilizing five smartphones. This study aimed to explore the differences in data collection accuracy between marker-based systems and pose estimation, as well as to assess the impact of camera location and orientation on accuracy in pose estimation. The results showed that the differences in joint angles between pose estimation and marker-based systems are below 5°, an acceptable level for gait analysis, with a strong correlation between the two datasets supporting the effectiveness of pose estimation in gait analysis. In addition, hip and knee angles were accurately measured at the front diagonal of the subject and ankle angle at the lateral side. This research highlights the significance of careful camera placement for reliable gait analysis using pose estimation, serving as a concise reference to guide future efforts in enhancing the quantitative accuracy of gait analysis.