Zobrazeno 1 - 10
of 70
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
Publikováno v:
Proceedings of International Conference on Artificial Life and Robotics. 27:270-274
Publikováno v:
Proceedings of International Conference on Artificial Life and Robotics. 27:278-281
Publikováno v:
2023 International Conference on Emerging Smart Computing and Informatics (ESCI).
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:
2022 IEEE International Conference on Mechatronics and Automation (ICMA).
Autor:
Taro Shibanoki, Masaya Tadocoro
Publikováno v:
Proceedings of International Conference on Artificial Life and Robotics. 26:588-591
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
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