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FIDGM: A Force Myography and IMU Dataset for Precise Gait Measurement

Name: FIDGM: A Force Myography and IMU Dataset for Precise Gait Measurement
Keywords: Ground Reaction Force, Ankle Joint Power, Inertial Measurement Units, Force Myography, Gait Analysis

Research datakeyboard_double_arrow_right Dataset 29 Aug 2023Publisher:ZenodoFunded by:NSERC, CIHR

Authors: Barua, Arnab; Menon, Carlo; Jiang, Xianta;

doi: 10.5281/zenodo.8302531 , 10.5281/zenodo.8302530

FIDGM: A Force Myography and IMU Dataset for Precise Gait Measurement

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Abstract

This dataset contains sensor values from Force Myography (FMG) sensors and Inertial Measurement Units (IMUs) and corresponding Ankle Joint Power and Ground Reaction Force. The FMG strap was positioned about two inches above the ankle of the left leg. Four IMUs were positioned on foot, distal shank, distal thigh, and proximal thigh of the left leg. There are sensors values and corresponding reference values from nine participants and five different walking speeds (0.4 m/s, 0.7 m/s, 1.0 m/s, 1.3 m/s, and 1.6 m/s). This dataset portrays how values from different sensors vary with respect to Ankle Joint Power and Ground Reaction Force. The dataset can be utilized to train machine learning models to predict Ankle Joint Power and Ground Reaction Force using FMG and IMUs sensor values, which in turn can eliminate the requirement of a complex biomechanical setup to measure Ankle Joint Power and Ground Reaction Force.

Related Organizations

Simon Fraser University
Canada
Memorial University of Newfoundland
Canada

Keywords

Ground Reaction Force, Ankle Joint Power, Inertial Measurement Units, Force Myography, Gait Analysis

3 Research products, page 1 of 1

Building Effective Machine Learning Models for Ankle Joint Power Estimation During Walking Using FMG Sensors
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Estimation of Ankle Joint Power during Walking Using Two Inertial Sensors
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Estimating Vertical Ground Reaction Force during Walking Using a Single Inertial Sensor
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