Detection of Walking Surface Features Using Convolutional Neural Network According to Gait

Basit Öğe Kaydı
dc.contributor.authorYıldız, Abdulnasır
dc.contributor.authorZan, Hasan
dc.date.accessioned2024-04-24T17:56:24Z
dc.date.available2024-04-24T17:56:24Z
dc.date.issued2021
dc.departmentDicle Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümüen_US
dc.descriptionIEEE SMC Society;IEEE Turkey Sectionen_US
dc.description2021 Innovations in Intelligent Systems and Applications Conference, ASYU 2021 -- 6 October 2021 through 8 October 2021 -- -- 174400en_US
dc.description.abstractWalking is an integral human activity that includes linked efforts of muscles, brain and nerves. In general, gait of a person is unique and contains useful information belong to that person. Therefore, gait analysis has been used in areas of healthcare, security, sport and fitness. This work differs from other studies by using signals recorded from wearable sensors worn by subjects walking on nine different surfaces. These data and convolutional neural network were employed for walking surface detection. This demonstrates that gait of a person is adopted to walking surface and changes in the gait on different surfaces can be used for walking surface detection. In the experiment, 7958 3-second-long segments were classified with an accuracy of 95%.en_US
dc.identifier.citationYıldız, A. ve Zan, H. (2021). Yürüyüş şekline göre yürünen yüzeyin özelliklerinin evrişimsel sinir ağı ile tespiti. Proceedings - 2021 Innovations in Intelligent Systems and Applications Conference, ASYU 2021.
dc.identifier.doi10.1109/ASYU52992.2021.9598975
dc.identifier.isbn9781665434058
dc.identifier.scopus2-s2.0-85123180488
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ASYU52992.2021.9598975
dc.identifier.urihttps://hdl.handle.net/11468/23496
dc.indekslendigikaynakScopus
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofProceedings - 2021 Innovations in Intelligent Systems and Applications Conference, ASYU 2021
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCnnen_US
dc.subjectConvolutional Neural Networken_US
dc.subjectGaiten_US
dc.subjectGait signalen_US
dc.subjectSurface detectionen_US
dc.titleDetection of Walking Surface Features Using Convolutional Neural Network According to Gaiten_US
dc.titleDetection of Walking Surface Features Using Convolutional Neural Network According to Gait
dc.title.alternativeYürüyüş şekline göre yürünen yüzeyin özelliklerinin evrişimsel sinir ağı ile tespitien_US
dc.title.alternativeYürüyüş şekline göre yürünen yüzeyin özelliklerinin evrişimsel sinir ağı ile tespiti
dc.typeConference Objecten_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
Detection of Walking Surface Features Using Convolutional Neural Network According to Gait.pdf
Boyut:
319.21 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Konferans Öğesi
İndir

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu