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

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....