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

Iacopo Pacifici; Paolo Sernani; Nicola Falcionelli; Selene Tomassini; Aldo Franco Dragoni

doi:10.1016/j.dib.2020.106455

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

Data Brief. 2020 Oct 22:33:106455. doi: 10.1016/j.dib.2020.106455. eCollection 2020 Dec.

Authors

Iacopo Pacifici¹, Paolo Sernani¹, Nicola Falcionelli¹, Selene Tomassini¹, Aldo Franco Dragoni¹

Affiliation

¹ Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche, Via Brecce Bianche 12, 60131 Ancona, Italy.

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.

Keywords: EMG; Electromyography; Gesture Recognition, Myo Armband; IMU; Inertial Measurement Unit; Italian Sign Language.