"Raw Data for Estimating Passive Wrist Stiffness Using PDMeter2"

Read full text
Authors: Giorgia Giovannetti
Cited by: 0

Abstract

"This dataset contains the raw time-series data acquired during wrist perturbation experiments performed with the proposed 2-DoF wearable robotic device. Data are organized in column format and include timestamp, motor currents measured from the ESCON modules (digitally converted), desired motor torques, measured motor angular displacements from encoders, desired angular trajectories, and measured neutral motor positions for both actuation axes.The raw files provide instant-by-instant samples of all recorded signals without preprocessing. Motor currents are used to estimate applied torques through current-to-torque conversion, while measured angular displacements are used to compute joint kinematics. Estimated torques and measured angular positions are subsequently employed to estimate passive wrist stiffness via multiple linear regression.These data enable full reproducibility of the torque estimation procedure and stiffness identification analysis described in the manuscript."

Fields of Study & Subjects

Prosthetics and Rehabilitation Robotics Soft Robotics and Applications Robotic Mechanisms and Dynamics

Publication details

Journal / source
IEEE DataPort
Publication date
3 March 2026
Language
EN
Document type
Dataset