研究目的
To assess the use of a 3D infra-red scanner in producing subject-specific body segment parameters (BSPs) for use as bespoke inputs into musculoskeletal models, evaluating its speed and accuracy compared to empirical data.
研究成果
The 3D scanning method provides rapid and accurate subject-specific BSPs, comparable to cadaveric data, with differences generally below 10%. It is suitable for integration into clinical or research settings to enhance musculoskeletal modeling accuracy, particularly for low acceleration activities, and shows promise for high acceleration applications. Further work is needed to address scanner limitations and improve density estimation.
研究不足
Limitations include field-of-view issues affecting head and feet scans, potential body sway during scanning, reliance on manual landmark identification with some estimation (e.g., hip joint center), assumption of uniform density within segments, and exclusion of neck data. Future improvements could involve better scanner setups and density profiling.
1：Experimental Design and Method Selection:
The study used a 3D infra-red scanner (Styku with Microsoft Kinect) to capture full-body scans of participants. An algorithm was developed to calculate segment mass, center of mass, and moments of inertia from the scan data, based on geometric estimation and density assumptions from literature.
2：Sample Selection and Data Sources:
95 participants (62 males, 33 females) volunteered for scanning. They wore skin-tight clothing, and height and mass were recorded. Scans produced 40,000 to 60,000 vertices per subject.
3：List of Experimental Equipment and Materials:
Styku 3D body scanner consisting of Microsoft Kinect, tripod, and rotating platform; computer for data processing; anatomical landmarks for segmentation.
4：Experimental Procedures and Operational Workflow:
Participants stood on a rotating platform in anatomical stance; scans took approximately 60 seconds. Data were segmented into 14 body segments using manual landmark identification, then processed through the algorithm to compute BSPs.
5：Data Analysis Methods:
Statistical analysis included independent t-tests to compare results with literature data from cadaver studies for segment volume, mass, and center of mass; moments of inertia were compared visually due to lack of statistical data.
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
