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

被引：3

作者：

Pacifici, Iacopo ^{[1
]}

Sernani, Paolo ^{[1
]}

Falcionelli, Nicola ^{[1
]}

Tomassini, Selene ^{[1
]}

Dragoni, Aldo Franco ^{[1
]}

机构：

[1] Univ Politecn Marche, Dipartimento Ingn Informaz, Via Brecce Bianche 12, I-60131 Ancona, Italy

来源：

DATA IN BRIEF | 2020年 / 33卷

关键词：

Italian Sign Language; Electromyography; EMG; Inertial Measurement Unit; IMU; Gesture Recognition; Myo Armband;

D O I：

10.1016/j.dib.2020.106455

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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. (C) 2020 The Authors. Published by Elsevier Inc.

引用

页数：5

共 13 条

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