AnDY_Data1_Intent detection: multiple subjects, performing actions supported by an Adaptive Shoulder Exoskeleton's device_v1.0

This dataset comprises physiological and physical measurements from 12 subjects taking part in an in-lab experiment at DLR's premises, while wearing an adaptive shoulder exoskeleton , in which they performed several sequences of lifting tasks with different weights and motions, with the aim of assessing the efficacy of a regression-based intent-detection algorithm to control the exoskeleton, while gathering input data from two arrays of force miography sensor placed on the moving arm.

All data files are provided in csv format, whereas videos of the subjects are provided in .mp4 format, compressed to reduce size and with audio removed to protect privacy.
A detailed description of how the data was collected and analyzed will be available in the paper associated with the dataset, currently under review at the time of upload of version 1.0.