This repository contains data and code for Intuitive movement-based prosthesis control enables arm amputees to reach naturally in virtual reality Effie Segas1, Sébastien Mick1,2, Vincent Leconte1, Rémi Klotz3, Daniel Cattaert1, Aymar de Rugy1 1 Univ. Bordeaux, CNRS, INCIA, UMR 5287, F-33000 Bordeaux, France 2 ISIR UMR 7222, Sorbonne Université, CNRS, Inserm, F-75005, France 3 CMPR Tour de Gassies, F-33520 Bruges, France It contains a dataset (DataOnline_2022_SPCA21 folder) of three experiments of able-bodied participants (Exp1 and Exp2 folders) and amputee participants (Exp3 folder) performing a pick-and-placed task in a virtual reality environment with or without movements-based Artificial Neural Networks (ANN) control involved. More information about these experiments could be find in the link publication (see related identifiers section). Basic code files to perform data analysis and ANN training are provided in the CodeOnline_2022_SPCA21 folder. All the information needed to understand the structure of the DataOnline_2022_SPCA21 and CodeOnline_2022_SPCA21 folders and files are provided in CodeOnline_2022_SPCA21 folder. The file SummaryOfFiles gives a description of all the files of the DataOnline_2022_SPCA21 folder, a file tree is also provided at the end of the document. The files MainDataExplained and SensorsDataExplained list and give a description of the variables recorded during experiments in the phase files (e.g. PHASE.json and PHASE_sensors.json respectively). The three ExpXFilesWorkflow files (with X =1,2,3) give an overview of the work-flow of experimental files creation during the X experiment. The CodeExplanations file lists and gives a description of code files available in the CodeOnline_2022_SPCA21 folder. The DependencyTree file shows the code organisation. The GuideInstall file contains information needed to run the code files properly.

This work was supported by the CNRS interdisciplinary project RoBioVis, and the ANR-DGA-ASTRID grant CoBioPro (ANR-20-ASTR-0012-1).