Published November 23, 2022 | Version v3

LocoD Data Repository

Authors/Creators

  • 1. ROR icon Chalmers University of Technology

Description

We publish this repository to offer a common data set to conduct comparisons between different methods. Furthermore, if access to equipment, facilities, and/or research participants is not possible, then this repository facilitates testing of the preliminary algorithms. The recorded signal from EMG, IMU, and pressure sensor, along with important information such as tags and recording properties, has been saved in a structure.

Our Data Repository consists of data from 8 Female and 7 male subjects and none of them had prior experience with LocoD.

The recorded data corresponds to one recording per participant digitalized at 2 kHz. Data includes 8 EMG (Delsys) channels, 3 IMUs (Delsys), and one pressure sensor (Delsys).

Data consists of 30 trials of our circuit. Our circuit contains terrains for walking, stair ascent, stair descent, ramp ascent, and ramp descent. Data were tagged when the subjects started a terrain manually by an operator.

SEMG electrodes were placed on the semitendinosus, biceps femoris, tensor fasciae latae, rectus femoris, vastus lateralis, vastus medialis, and gracilise. These muscles were found using palpation by an experienced physiotherapist and were selected based on a literature search for the most common muscle signals used to control lower limb prosthetics.

IMUs were placed above the knee, below the knee, and on the foot to get all the joint orientations during different movements.

A Pressure sensor was built into an insole used by each research participant.

Participants were instructed to enter each terrain, such as stairs or ramps with their sensorized legs. These different locomotion modes were selected as they are the most common movements in daily life.

Files

Files (7.9 GB)

Name Size
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567.0 MB Download
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448.3 MB Download
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523.4 MB Download
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662.1 MB Download
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448.4 MB Download
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475.8 MB Download
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543.4 MB Download
md5:bc417447c25ebac63f70fc9914a4558f
454.7 MB Download
md5:1443e0b66ddb822be032dbb57c85fa50
484.9 MB Download

Additional details

Dates

Other
2022-11-23