sEMG dataset of routine activities

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dc.contributor.authorKhan, Asad Mansoor
dc.contributor.authorKhawaja, Sajid Gul
dc.contributor.authorAkram, Muhammad Usman
dc.contributor.authorKhan, Ali Saeed
dc.date.accessioned2024-11-14T13:37:31Z
dc.date.available2024-11-14T13:37:31Z
dc.date.issued2020-12-01
dc.description.abstractIn 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 sEMG, IMU, Physical actions, Routine activities, Accelerometer
dc.identifier.citationKhan, A. M., Khawaja, S. G., Akram, M. U., & Khan, A. S. (2020). sEMG dataset of routine activities. Data in brief, 33, 106543.
dc.identifier.doihttps://doi.org/10.1016/j.dib.2020.106543
dc.identifier.urihttps://repository.adu.ac.ae/handle/1/7033
dc.language.isoen_US
dc.publisherElsevier
dc.titlesEMG dataset of routine activities
dc.typeArticle

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