IMU and accelerometer data from people with and without lower limb amputation during daily life

Citation Author(s):
Jay
Kim
University of Michigan
Natalie
Colabianchi
University of Michigan
Jeffrey
Wensman
University of Michigan
Deanna
Gates
University of Michigan
Submitted by:
Deanna Gates
Last updated:
Tue, 04/28/2020 - 16:50
DOI:
10.21227/c7yj-0203
Data Format:
License:
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Abstract 

The dataset comprises up to two weeks of activity data taken from the ankle and foot of 14 people without amputation and 17 people with lower limb amputation.  Walking speed, cadence, and lengths of strides taken at and away from the home were considered in this study.  Data collection came from two wearable sensors, one inertial measurement unit (IMU) placed on the top of the prosthetic or non-dominant foot, and one accelerometer placed on the same ankle.  Location information was derived from GPS and labeled as ‘home’, ‘away’, or ‘unknown’.  The dataset contains raw accelerometer and IMU signals from bouts of non-sedentary activity during daily life as well as walking speeds and cadences for continuous, level ground steps taken in the laboratory. 

Instructions: 

This dataset is comprised of 31 Matlab .mat files. Each .mat file contains all sensor data for one individual participant. Files for participants with lower limb amputation (n = 17) are named as ‘S##.mat’ and files for control participants (n = 14) are named as ‘C##.mat’.

Dataset Files

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Documentation

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