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

Data in Brief
Iacopo PacificiAldo Franco Dragoni

Abstract

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.

Associated Datasets

Oct 20, 2020·Paolo SernaniIacopo Pacifici

References

Sep 1, 2016·IEEE Journal of Biomedical and Health Informatics·Jian WuRoozbeh Jafari
Sep 3, 2016·Computer Methods and Programs in Biomedicine·Alana Elza Fontes Da GamaPascal Fallavollita

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Software Mentioned

Myo Gesture Control
Myo
json
Myo Armband SDK

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