This work presents an innovative application of the well-known concept of cortico-muscular coherence for the classification of various motor tasks, i.e., grasps of different kinds of objects. Our approach can classify objects with different weights (motor-related features) and different surface frictions (haptics-related features) with high accuracy (over 0.8). The outcomes presented here provide information about the synchronization existing between the brain and the muscles during specific activities; thus, this may represent a new effective way to perform activity recognition.

Cisotto, G., Guglielmi, A., Badia, L., Zanella, A. (2018). Classification of grasping tasks based on EEG-EMG coherence. In 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services, Healthcom 2018 (pp.1-6). Institute of Electrical and Electronics Engineers Inc. [10.1109/HealthCom.2018.8531140].

Classification of grasping tasks based on EEG-EMG coherence

Cisotto, Giulia
Primo
;
2018

Abstract

This work presents an innovative application of the well-known concept of cortico-muscular coherence for the classification of various motor tasks, i.e., grasps of different kinds of objects. Our approach can classify objects with different weights (motor-related features) and different surface frictions (haptics-related features) with high accuracy (over 0.8). The outcomes presented here provide information about the synchronization existing between the brain and the muscles during specific activities; thus, this may represent a new effective way to perform activity recognition.
No
paper
activity recognition; Cortico-muscular coherence; EEG; EMG; haptics; muscles synergies;
English
20th IEEE International Conference on e-Health Networking, Applications and Services (HEALTHCOM) - SEP 17-20, 2018
978-153864294-8
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8502682
Cisotto, G., Guglielmi, A., Badia, L., Zanella, A. (2018). Classification of grasping tasks based on EEG-EMG coherence. In 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services, Healthcom 2018 (pp.1-6). Institute of Electrical and Electronics Engineers Inc. [10.1109/HealthCom.2018.8531140].
Cisotto, G; Guglielmi, A; Badia, L; Zanella, A
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/367512
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