Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Deniz Hande Kisa"'
Publikováno v:
Data in Brief, Vol 41, Iss , Pp 107921- (2022)
This paper presents an electromyography (EMG) signal dataset for use in human-computer interaction studies. The dataset includes 4-channel surface EMG data from 40 participants with an equal gender distribution. The gestures in the data are rest or n
Externí odkaz:
https://doaj.org/article/93a7da1b1afa4285ad5fd991ffadf288
Publikováno v:
Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi. 38:1417-1430
Üst ekstremite hareketi tam olarak sağlanamadığında, yapay zeka (artificial intelligence/AI) sistemleri kullanıcılara amaçlanan hareketin uygulanması konusunda yardımcı olurlar. Kas aktivitesinin temsili olan elektromiyografi (EMG), sanal
Autor:
Deniz Hande Kisa, Muhiddin Ceyhun Yildirim, Belkis Ozdil, Mehmet Akif Ozdemir, Onan Guren, Aydin Akan
Publikováno v:
2022 Medical Technologies Congress (TIPTEKNO).
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Publikováno v:
Biomedical Signal Processing and Control. 77:103787
Publikováno v:
2020 Medical Technologies Congress (TIPTEKNO).
The Electromyography (EMG) signal is a nonstationary bio-signal based on the measurement of the electrical activity of the muscles. EMG based recognition systems play an important role in many fields such as diagnosis of neuromuscular diseases, human
Publikováno v:
2020 Medical Technologies Congress (TIPTEKNO).
Computer systems working with artificial intelligence can recognize movements and gestures to be used for many purposes. In order to perform recognition, the electrical activity of the muscles can be utilized which is represented by electromyography