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人体从坐姿到行走转换的运动捕捉数据集。

A Motion Capture Dataset on Human Sitting to Walking Transitions.

机构信息

Monash Engineering & Technology Research Hub, School of Engineering, Monash University, Subang Jaya, Selangor, Malaysia.

Faculty of Engineering, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.

出版信息

Sci Data. 2024 Aug 13;11(1):878. doi: 10.1038/s41597-024-03740-z.

DOI:10.1038/s41597-024-03740-z
PMID:39138206
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11322156/
Abstract

Sit-to-walk (STW) is a crucial daily task that impacts mobility, independence, and thus quality of life. Existing repositories have limited STW data with small sample sizes (n = 10). Hence, this study presents a STW dataset obtained via the time-up-and-go test, for 65 healthy adults across three age groups - young (19-35 years), middle (36-55 years) and older (above 56 years). The dataset contains lower body motion capture, ground reaction force, surface electromyography, inertial measurement unit data, and responses for the knee injury and osteoarthritis outcome score survey. For validation, the within subjects intraclass correlation coefficients for the maximum and minimum lower body joint angles were calculated with values greater than 0.74, indicating good test-retest reliability. The joint angle trajectories and maximum voluntary contractions are comparable with existing literature, matching in overall trends and range. Accordingly, this dataset allows STW biomechanics, executions, and characteristics to be studied across age groups. Biomechanical trajectories of healthy adults serve as a benchmark in assessing neuromusculoskeletal impairments and when designing assistive technology for treatment or rehabilitation.

摘要

从坐到站(Sit-to-walk,STW)是一项至关重要的日常任务,它会影响到行动能力、独立性,进而影响生活质量。现有的数据库中 STW 数据的样本量较小(n=10)。因此,本研究提出了一个通过起立行走测试获得的 STW 数据集,其中包括 65 名健康成年人的数据,他们分为三个年龄组:年轻人(19-35 岁)、中年人(36-55 岁)和老年人(56 岁以上)。该数据集包含了下肢运动捕捉、地面反作用力、表面肌电图、惯性测量单元数据,以及膝关节损伤和骨关节炎结果评分调查的回复。为了验证,对最大和最小下肢关节角度的受试者内组内相关系数进行了计算,其值大于 0.74,表明测试-重测的可靠性良好。关节角度轨迹和最大随意收缩与现有文献相当,整体趋势和范围一致。因此,该数据集可以研究不同年龄组的 STW 生物力学、执行情况和特征。健康成年人的生物力学轨迹可作为评估神经肌肉骨骼损伤的基准,也可用于设计治疗或康复的辅助技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7cc/11322156/02eb4c9087cb/41597_2024_3740_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7cc/11322156/8414d6e4ee01/41597_2024_3740_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7cc/11322156/1858370bc033/41597_2024_3740_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7cc/11322156/992f9e47bdbd/41597_2024_3740_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7cc/11322156/0076dcdb2500/41597_2024_3740_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7cc/11322156/02eb4c9087cb/41597_2024_3740_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7cc/11322156/8414d6e4ee01/41597_2024_3740_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7cc/11322156/1858370bc033/41597_2024_3740_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7cc/11322156/992f9e47bdbd/41597_2024_3740_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7cc/11322156/0076dcdb2500/41597_2024_3740_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7cc/11322156/02eb4c9087cb/41597_2024_3740_Fig5_HTML.jpg

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J Neuroeng Rehabil. 2023 Sep 26;20(1):130. doi: 10.1186/s12984-023-01253-1.
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A diverse and multi-modal gait dataset of indoor and outdoor walks acquired using multiple cameras and sensors.
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Point-of-care motion capture and biomechanical assessment improve clinical utility of dynamic balance testing for lower extremity osteoarthritis.即时运动捕捉和生物力学评估提高了下肢骨关节炎动态平衡测试的临床效用。
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Age-related changes in gait biomechanics and their impact on the metabolic cost of walking: Report from a National Institute on Aging workshop.年龄相关的步态生物力学变化及其对步行代谢成本的影响:美国国家老龄化研究所研讨会报告。
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