A surface electromyography and inertial measurement unit dataset for the Italian Sign Language alphabet

Surface Electromyography (EMG) and Inertial Measurement Unit (IMU) sensors are gaining the attention of the research community as data sources for automatic sign language recognition. In this regard, we provide a dataset of EMG and IMU data collected using the Myo Gesture Control Armband, during the...

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Detalles Bibliográficos
Autores principales: Pacifici, Iacopo, Sernani, Paolo, Falcionelli, Nicola, Tomassini, Selene, Dragoni, Aldo Franco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644570/
https://www.ncbi.nlm.nih.gov/pubmed/33195774
http://dx.doi.org/10.1016/j.dib.2020.106455
Descripción
Sumario:Surface Electromyography (EMG) and Inertial Measurement Unit (IMU) sensors are gaining the attention of the research community as data sources for automatic sign language recognition. In this regard, we provide a dataset of EMG and IMU data collected using the Myo Gesture Control Armband, during the execution of the 26 gestures of the Italian Sign Language alphabet. For each gesture, 30 data acquisitions were executed, composing a total of 780 samples included in the dataset. The gestures were performed by the same subject (male, 24 years old) in lab settings. EMG and IMU data were collected in a 2 seconds time window, at a sampling frequency of 200 Hz.

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