EMG hand gesture dataset

  1. Toro-Ossaba, Alejandro 1
  2. Jaramillo-Tigreros, Juan 1
  3. Tejada, Juan C. 1
  4. Peña, Alejandro 2
  5. López-González, Alexandro 3
  6. Castanho, Rui Alexandre 4
  1. 1 Grupo de Investigación en Inteligencia Computacional y Automática (GIICA), Universidad EIA, Envigado 055428, Colombia
  2. 2 Grupo de Investigación en Información y Gestión, Escuela de Administración, Universidad EAFIT, Medellín 050021, Colombia
  3. 3 Departamento de Estudios en Ingeniería para la Innovación, Universidad Iberoamericana, Ciudad de México 01219, Mexico
  4. 4 College of Business and Economics, University of Johannesburg, Auckland Park, P.O. Box 524, Johannesburg 2006, South Africa
Erakutsi afiliazioak +

Argitaratzaile: Zenodo

Argitalpen urtea: 2023

Mota: Dataset

DOI: 10.5281/ZENODO.7637556 lock_openSarbide irekia editor

Laburpena

This dataset contains surface electromyography (sEMG) data of 5 different hand gestures performed by eight subjects. The data is store in a folder for each one of the subjects, each folder, contains 5 files, one for each gesture. The files contain the sEMG data of 4 sEMG channels placed on the forearm. The gestures are: open hand, closed hand, lateral pinch, signaling sign, rock sign. A file with a demo Recurrent Neural Network is also included. The reader may refer to the following articles for more information about the dataset: LSTM Recurrent Neural Network for Hand Gesture Recognition Using EMG Signals and A Proposal of Bioinspired Soft Active Hand Prosthesis.