Data-efficient Human Walking Speed Intent Identification

Citation Author(s):
Taylor
Higgins
Florida A&M - Florida State University
Kaitlyn
Bresingham
University of Notre Dame
James
Schmiedeler
University of Notre Dame
Patrick
Wensing
University of Notre Dame
Submitted by:
Taylor Higgins
Last updated:
Tue, 05/23/2023 - 08:18
DOI:
10.21227/961z-jn75
Data Format:
License:
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Abstract 

This dataset is associated with the manuscript entitled "Data-efficient Human Walking Speed Intent Inference". The data represent the measurements taken from 15 able-bodied human subjects as the made speed changes while walking on a treadmill. Each subject is associated with a .mat file that contains 8 variables. Four variables are associated with the training dataset while four are associated with the experimental testing protocol. The testing data includes the time series trajectories of the four main joint angles of the lower body (the left leg hip flexion, right leg hip flexion, left leg knee flexion, and right leg knee flexion) as the individual made a series of speed changes.

Instructions: 

This dataset is provided in .mat format which can be loaded using MATLAB.

Funding Agency: 
National Science Foundation
Grant Number: 
1734532

Dataset Files

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