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LocoD Data Repository

Authors: Ahkami, Bahareh;

LocoD Data Repository

Abstract

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 12 Female and 8 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.

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Keywords

EMG, Myoelectric signal, Lower limb prosthesis control

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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