Publication:
The Research of Characteristic Frequencies for Gesture-based EMG Control Channels

Простая страница элемента
dc.contributor.authorIgrevskaya, A.
dc.contributor.authorKachina, A.
dc.contributor.authorPetrova, A.
dc.contributor.authorKudryavtsev, K.
dc.contributor.authorПетрова, Алёна Игоревна
dc.contributor.authorКудрявцев, Константин Яковлевич
dc.date.accessioned2024-12-26T10:50:32Z
dc.date.available2024-12-26T10:50:32Z
dc.date.issued2022
dc.description.abstract© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.The paper describes experimental studies of the selection of characteristic frequencies for use in EMG-based human-machine interfaces in the problem of gesture recognition. Such interfaces allow the operator to interact with a mobile robotic device without significant physical effort. The flexion of the hand fingers is characterized by neuromuscular temporal signals, which are read by sensors and subsequently subjected to mathematical processing. The discrete Fourier transform allows us to obtain a spectral representation of the signal and select the main frequencies where the maximum signal amplitude appears. The resulting frequency sets can be used to identify gestures and generate control commands for a robotic device. The selection of a frequency set was carried out for the particular case of recognizing the thumb flexion as a gesture. As a result, it was found that considered parameters are not resistant to the influence of various factors that also include the execution of other gestures. Therefore, it is also suggested to take into account the signal power at these frequencies.
dc.format.extentС. 158-163
dc.identifier.citationThe Research of Characteristic Frequencies for Gesture-based EMG Control Channels / Igrevskaya, A. [et al.] // Studies in Computational Intelligence. - 2022. - 1032 SCI. - P. 158-163. - 10.1007/978-3-030-96993-6_14
dc.identifier.doi10.1007/978-3-030-96993-6_14
dc.identifier.urihttps://www.doi.org/10.1007/978-3-030-96993-6_14
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85127636712&origin=resultslist
dc.identifier.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000833484200014
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/28963
dc.relation.ispartofStudies in Computational Intelligence
dc.titleThe Research of Characteristic Frequencies for Gesture-based EMG Control Channels
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.volume1032 SCI
relation.isAuthorOfPublication91b5c7dc-8420-43aa-86a3-e92197d0d942
relation.isAuthorOfPublicationc67c3bca-d4ea-4597-a280-6c86cc04ff0c
relation.isAuthorOfPublication.latestForDiscovery91b5c7dc-8420-43aa-86a3-e92197d0d942
relation.isOrgUnitOfPublication010157d0-1f75-46b2-ab5b-712e3424b4f5
relation.isOrgUnitOfPublication.latestForDiscovery010157d0-1f75-46b2-ab5b-712e3424b4f5
Файлы
Коллекции
Публикации