Target pose recognition (offline & HITL experiment dataset)

Offline datasetThis dataset captures the upper limb and trunk movement kinematics, as well as surface electromyography (sEMG) data from 7 upper-arm muscles, of 10 non-disabled human subjects. The data was collected during forward-reaching actions toward 9 spatial locations in the parasagittal plane, 10 iterations for each location. The dataset can be used to analyze human movement patterns and develop algorithms for the control of movement in assistive robotic devices, such as active transhumeral prostheses.The experiment was conducted in a virtual reality (VR) environment using a head-mounted display (HMD).The spatial locations of the targets are designed to elicit specific upper limb joint displacements.The kinematics recorded include shoulder, scapular, and trunk movements.The muscles monitored include biceps brachii short/long head, triceps brachii lateral/long head, and anterior/middle/posterior deltoid.The experiment was approved by the University of Melbourne Human Research Ethics Committee, project ID 11878.For more details please refer to the GitHub repository:https://github.com/tianshi-yu/UpperLimbReachingData_HRL_UnimelbHITL experiment datasetThe six subjects, labeled S6 to S11, correspond to subjects 11 to 16 as mentioned in the paper.

本数据集收录了10名非残疾受试者上肢及躯干运动学参数，以及7个上臂肌肉的表面肌电图（sEMG）数据。数据采集于受试者朝向正中矢状面9个空间位置进行的前伸动作过程中，每个位置重复10次。该数据集可用于分析人类运动模式，并开发辅助机器人设备（如主动上臂假肢）的运动控制算法。实验在虚拟现实（VR）环境中，借助头戴式显示器（HMD）进行。目标的空间位置旨在引发特定的上肢关节位移。记录的运动学参数包括肩、肩胛和躯干运动。监测的肌肉包括肱二头肌短头/长头、肱三头肌外侧头/长头，以及前中后三角肌。实验已获得墨尔本大学人类研究伦理委员会批准，项目编号为11878。如需了解更多详情，请参考GitHub仓库：https://github.com/tianshi-yu/UpperLimbReachingData_HRL_UnimelbHITL实验数据集。其中，6名受试者分别标记为S6至S11，对应论文中提及的第11至16名受试者。