Weighted Linear Combination of Distances within Two Manifolds for 3D Human Action Recognition

Elaoud, Amani; Barhoumi, Walid; Drira, Hassen; Zagrouba, Ezzeddine

doi:10.5220/0007369006930703

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additionally, approaches like smoothing techniques and robust algorithms designed for challenging conditions, unexpected noise, and segmentation play a pivotal role. These highlights underscore the importance of algorithms in optimizing and enhancing the quality of sensor-captured data [ 1 , 7 , 32 , 39 , 40 , 41 , 42 , 43 ].…”

Section: Current Advances In Motion Capture Technologymentioning

confidence: 99%

Development of a Low-Cost Markerless Optical Motion Capture System for Gait Analysis and Anthropometric Parameter Quantification

Espitia-Mora,

Vélez-Guerrero,

Callejas-Cuervo

2024

Sensors

View full text Add to dashboard Cite

Technological advancements have expanded the range of methods for capturing human body motion, including solutions involving inertial sensors (IMUs) and optical alternatives. However, the rising complexity and costs associated with commercial solutions have prompted the exploration of more cost-effective alternatives. This paper presents a markerless optical motion capture system using a RealSense depth camera and intelligent computer vision algorithms. It facilitates precise posture assessment, the real-time calculation of joint angles, and acquisition of subject-specific anthropometric data for gait analysis. The proposed system stands out for its simplicity and affordability in comparison to complex commercial solutions. The gathered data are stored in comma-separated value (CSV) files, simplifying subsequent analysis and data mining. Preliminary tests, conducted in controlled laboratory environments and employing a commercial MEMS-IMU system as a reference, revealed a maximum relative error of 7.6% in anthropometric measurements, with a maximum absolute error of 4.67 cm at average height. Stride length measurements showed a maximum relative error of 11.2%. Static joint angle tests had a maximum average error of 10.2%, while dynamic joint angle tests showed a maximum average error of 9.06%. The proposed optical system offers sufficient accuracy for potential application in areas such as rehabilitation, sports analysis, and entertainment.

show abstract