Hand Gesture Classification Using Inertial Based Sensors Via a Neural Network

dc.authorwosid Uslu, Baran/AAR-1071-2020
dc.contributor.author Akan, Erhan
dc.contributor.author Tora, Hakan
dc.contributor.author Uslu, Baran
dc.contributor.other Airframe and Powerplant Maintenance
dc.contributor.other Department of Electrical & Electronics Engineering
dc.date.accessioned 2024-10-06T11:12:08Z
dc.date.available 2024-10-06T11:12:08Z
dc.date.issued 2017
dc.department Atılım University en_US
dc.department-temp [Akan, Erhan; Uslu, Baran] Atilim Univ, Elect & Elect Engn, Ankara, Turkey; [Tora, Hakan] Atilim Univ, Avion Elect & Elect Engn, Ankara, Turkey en_US
dc.description.abstract In this study, a mobile phone equipped with four types of sensors namely, accelerometer, gyroscope, magnetometer and orientation, is used for gesture classification. Without feature selection, the raw data from the sensor outputs are processed and fed into a Multi-Layer Perceptron classifier for recognition. The user independent, single user dependent and multiple user dependent cases are all examined. Accuracy values of 91.66% for single user dependent case, 87.48% for multiple user dependent case and 60% for the user independent case are obtained. In addition, performance of each sensor is assessed separately and the highest performance is achieved with the orientation sensor. en_US
dc.description.woscitationindex Conference Proceedings Citation Index - Science
dc.identifier.citationcount 7
dc.identifier.endpage 143 en_US
dc.identifier.isbn 9781538619117
dc.identifier.startpage 140 en_US
dc.identifier.uri https://hdl.handle.net/20.500.14411/9114
dc.identifier.wos WOS:000426974200033
dc.institutionauthor Akan, Erhan
dc.institutionauthor Tora, Hakan
dc.language.iso en en_US
dc.publisher Ieee en_US
dc.relation.ispartof 24th IEEE International Conference on Electronics, Circuits and Systems (ICECS) -- DEC 05-08, 2017 -- Batumi, GEORGIA en_US
dc.relation.ispartofseries IEEE International Conference on Electronics Circuits and Systems
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject gesture recognition en_US
dc.subject neural network en_US
dc.subject accelerometer en_US
dc.subject magnetometer en_US
dc.subject gyroscope en_US
dc.subject orientation sensor en_US
dc.title Hand Gesture Classification Using Inertial Based Sensors Via a Neural Network en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 7
dspace.entity.type Publication
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