Upper Limb Forward-reaching Data from Non-disabled Human Subjects for Active Transhumeral Prostheses Development

This 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_Unimelb 

If you would like to use this dataset for your research or project, please cite our TNSRE paper: 

• T. Yu, A. Mohammadi, Y. Tan, P. Choong and D. Oetomo, "Sensor Selection With Composite Features in Identifying User-Intended Poses for Human-Prosthetic Interfaces," in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, pp. 1732-1742, 2023, doi: 10.1109/TNSRE.2023.3258225.