Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Taro Shibanoki"'
Publikováno v:
Animals, Vol 14, Iss 2, p 281 (2024)
Managing the risk of injury or illness is an important consideration when keeping pets. This risk can be minimized if pets are monitored on a regular basis, but this can be difficult and time-consuming. However, because only the external behavior of
Externí odkaz:
https://doaj.org/article/e6f0710cfbf345548580f1dbbdb72358
Publikováno v:
IEEE Access, Vol 9, Pp 154304-154317 (2021)
Electromyogram (EMG) classification is a key technique in EMG-based control systems. Existing EMG classification methods, which do not consider EMG features that have distribution with skewness and kurtosis, have limitations such as the requirement t
Externí odkaz:
https://doaj.org/article/4b9066e93ed74ac1a10ba74c28a8b2ee
Autor:
Go Nakamura, Taro Shibanoki, Yuichi Kurita, Yuichiro Honda, Akito Masuda, Futoshi Mizobe, Takaaki Chin, Toshio Tsuji
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 14 (2017)
This article proposes a virtual hand and a virtual training system for controlling the MyoBock—the most commonly used myoelectric prosthetic hand worldwide. As the virtual hand is controlled using the method also adopted for the MyoBock hand, the p
Externí odkaz:
https://doaj.org/article/03b45dfbe11b400c944e9e492870cda3
Publikováno v:
Proceedings of International Conference on Artificial Life and Robotics. 27:270-274
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26bc4284c9ab5ed325c69570562251d6
https://doi.org/10.5954/icarob.2022.os14-1
https://doi.org/10.5954/icarob.2022.os14-1
Publikováno v:
Proceedings of International Conference on Artificial Life and Robotics. 27:278-281
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d3c69faa09dd3056ea7d2b7e21604c9
https://doi.org/10.5954/icarob.2022.os14-3
https://doi.org/10.5954/icarob.2022.os14-3
Publikováno v:
2023 International Conference on Emerging Smart Computing and Informatics (ESCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fac167beeae4e782b3ae173c8d0dcf71
https://doi.org/10.1109/esci56872.2023.10099666
https://doi.org/10.1109/esci56872.2023.10099666
Publikováno v:
2022 IEEE International Conference on Mechatronics and Automation (ICMA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::943ce8c463b361d66a5c14bd23425091
https://doi.org/10.1109/icma54519.2022.9855966
https://doi.org/10.1109/icma54519.2022.9855966
Autor:
Taro Shibanoki, Masaya Tadocoro
Publikováno v:
Proceedings of International Conference on Artificial Life and Robotics. 26:588-591
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::871da722f82055eb917a09849604e093
https://doi.org/10.5954/icarob.2021.gs4-3
https://doi.org/10.5954/icarob.2021.gs4-3
Publikováno v:
IEEE Access, Vol 9, Pp 154304-154317 (2021)
Electromyogram (EMG) classification is a key technique in EMG-based control systems. Existing EMG classification methods, which do not consider EMG features that have distribution with skewness and kurtosis, have limitations such as the requirement t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea9679a75fba44b60fdf85125e1650f0
https://ieeexplore.ieee.org/document/9606727/
https://ieeexplore.ieee.org/document/9606727/
Publikováno v:
LifeTech
This paper proposes an obstacle avoidance method for EMG-controlled mobile robots based on a noncontact impedance model. The proposed system can voluntarily control a mobile robot by classifying EMG signals using a recurrent probabilistic neural netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16aca46883bf6cab468b5b0795cef335
https://doi.org/10.1109/lifetech52111.2021.9391859
https://doi.org/10.1109/lifetech52111.2021.9391859