Zobrazeno 1 - 10
of 637
pro vyhledávání: '"Intent recognition"'
Autor:
Renxiang Wu, Mingyang Luo, Jiaming Fan, Jingting Ma, Naiwen Zhang, Jianjun Li, Qiuyuan Li, Fei Gao, Guo Dan
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
This paper introduces a compact end-effector ankle rehabilitation robot (CEARR) system for addressing ankle range of motion (ROM) rehabilitation. The CEARR features a bilaterally symmetrical rehabilitation structure, with each side possessing three d
Externí odkaz:
https://doaj.org/article/ede98cc2eb6d48899e36dc585de3439d
Autor:
Xisheng Yu, Zeguang Pei
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2281-2292 (2024)
Many challenges exist in the study of using orthotics, exoskeletons or exosuits as tools for rehabilitation and assistance of healthy people in daily activities due to the requirements of portability and safe interaction with the user and the environ
Externí odkaz:
https://doaj.org/article/73c84746579542d183db193ab969df2d
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 1757-1766 (2024)
To overcome the challenges posed by the complex structure and large parameter requirements of existing classification models, the authors propose an improved extreme learning machine (ELM) classifier for human locomotion intent recognition in this st
Externí odkaz:
https://doaj.org/article/39c4668d07a841b78a295ba5f7569465
Publikováno v:
IEEE Access, Vol 12, Pp 53986-54004 (2024)
The lower limb exoskeleton technology is designed to facilitate the movement of human lower limbs. Significant progress has been made in this technology, which has important implications for rehabilitation patients and individuals who are eager to en
Externí odkaz:
https://doaj.org/article/bd7b209a1fdf4c929550e9653a1f7cff
Deployment of Machine Learning Algorithms on Resource-Constrained Hardware Platforms for Prosthetics
Publikováno v:
IEEE Access, Vol 12, Pp 40439-40449 (2024)
Motion intent recognition for controlling prosthetic systems has long relied on machine learning algorithms. Artificial neural networks have shown great promise for solving such nonlinear classification tasks, making them a viable method for this pur
Externí odkaz:
https://doaj.org/article/2915ae57ce814c02b09694d0df1cc7af
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Robotic lower-limb prostheses, with their actively powered joints, may significantly improve amputee users’ mobility and enable them to obtain healthy-like gait in various modes of locomotion in daily life. However, timely recognition of the ampute
Externí odkaz:
https://doaj.org/article/aff8c2ecdee7461d8c9e0202f882cfd0
Publikováno v:
Aerospace, Vol 11, Iss 7, p 588 (2024)
In recent years, the civil aviation industry has actively promoted the automation and intelligence of control processes with the increasing use of various artificial intelligence technologies. Air–ground communication, as the primary means of inter
Externí odkaz:
https://doaj.org/article/92540e5b69b345438ed99ed492842f05
Autor:
Wei Tao
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The development of language macromodeling has led to the widespread adoption of spoken English conversation systems in various industries. Similarly, it has had an impact on the tourism industry, where the involvement of machine learning has taken a
Externí odkaz:
https://doaj.org/article/e0677afd191c4eed87cf706e2f25c5a3
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 1511-1520 (2023)
Lower-limb powered prostheses can provide users with volitional control of ambulation. To accomplish this goal, they require a sensing modality that reliably interprets user intention to move. Surface electromyography (EMG) has been previously propos
Externí odkaz:
https://doaj.org/article/a6d5445d5625413a957c88d721282d59
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