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资源简介：
Motion capture data for HYOID models
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创建时间：
2018-02-28
相关数据集
H36M-MultiView
H36M-MultiView数据集是一个用于人体运动分析的多视角数据集，包含36名受试者在实验室环境中进行的15种不同活动的视频记录。每个活动由4个不同角度的摄像机同时记录，提供了丰富的视角信息，适用于多视角人体姿态估计和动作识别等研究。
vision.imar.ro830
Additional file 1 of Effect of test duration and sensor location on the reliability of standing balance parameters derived using body-mounted accelerometers
Additional file 1: Table S1. Reliability of the COM-based and COP-based balance parameters obtained in test duration of 20, 30, 40, 50, 60, 70, 80, 90, 100, and 110 s, expressed as the intra-class cor
DataCite Commons2024-08-14 更新140
Supplementary Materials
The tables S1 to S4 in the supplementary material show the results of the sensitivity analysis on the net work of the Sol and gastrocnemii at the ankle joint as well as the net work of the gastrocnemi
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Trunk Kinematics Data
This trunk kinematic dataset contains computational modelling and experimental data that were measured by a self-developed wearable sensor called the Inertial measurement cluster (IMC). The sensor dir
DataCite Commons2025-05-01 更新180
Modelling the complexity of the foot and ankle during human locomotion: the development and validation of a multi-segment foot model using biplanar videoradiography
We developed and validated a multi-segment foot and ankle model for human walking and running. The model has 6-segments, and 7 degrees of freedom; motion between foot segments were constrained with a
DataCite Commons2022-04-20 更新120
