sEMG dataset of routine activities

Asad Mansoor Khan; Sajid Gul Khawaja; Muhammad Usman Akram; Ali Saeed Khan

doi:10.1016/j.dib.2020.106543

sEMG dataset of routine activities

Data Brief. 2020 Nov 19:33:106543. doi: 10.1016/j.dib.2020.106543. eCollection 2020 Dec.

Authors

Asad Mansoor Khan¹, Sajid Gul Khawaja¹, Muhammad Usman Akram¹, Ali Saeed Khan¹

Affiliation

¹ Department of Computer and Software Engineering, CEME, National University of Sciences and Technology, Islamabad, Pakistan.

Abstract

In this paper, we present the data set of surface electromyography (sEMG) and an Inertial Measurement Unit (IMU) against human muscle activity during routine activities. The Myo Thalamic Armband is used to acquire the signals from muscles below the elbow. The dataset comprises of raw sEMG, accelerometer, gyro and derived orientation signals for four different activities. The four activities, which are selected for this dataset acquisition, are resting, typing, push up exercise and lifting a heavy object. Therefore, there are five associated files against each activity. The IMU data can be fused with the sEMG data for better classification of activities especially to separate aggressive and normal activities. The data is valuable for researchers working on assistive computer aided support systems for subjects with disabilities due to physical or mental disorder.

Keywords: Accelerometer; Gyroscope; IMU; Physical actions; Routine activities; sEMG.