Transfer Learning - Based Intention Recognition of Human Upper Limb in Human - Robot Collaboration

2021 ◽  
pp. 586-595
Author(s):  
Mengchao Dong ◽  
Jinzhu Peng ◽  
Shuai Ding ◽  
Zhiqiang Wang
Keyword(s):  
Transfer Learning ◽  
Upper Limb ◽  
Intention Recognition ◽  
Human Robot Collaboration ◽  
Human Upper Limb

Improving sEMG-based motion intention recognition for upper-limb amputees using transfer learning

2021 ◽  
Author(s):  
Jinghua Fan ◽  
Mingzhe Jiang ◽  
Chuang Lin ◽  
Gloria Li ◽  
Jinan Fiaidhi ◽  
...  
Keyword(s):  
Transfer Learning ◽  
Upper Limb ◽  
Intention Recognition ◽  
Motion Intention

scholarly journals A 4-DOF Upper Limb Exoskeleton for Physical Assistance: Design, Modeling, Control and Performance Evaluation

2021 ◽  
Vol 11 (13) ◽  
pp. 5865
Author(s):  
Muhammad Ahsan Gull ◽  
Mikkel Thoegersen ◽  
Stefan Hein Bengtson ◽  
Mostafa Mohammadi ◽  
Lotte N. S. Andreasen Struijk ◽  
...  
Keyword(s):  
Upper Limb ◽  
Tracking Control ◽  
Degrees Of Freedom ◽  
Control Method ◽  
Mechanical Design ◽  
Trajectory Tracking Control ◽  
Upper Limb Exoskeleton ◽  
And Performance ◽  
Physically Disabled People ◽  
Human Upper Limb

Wheelchair mounted upper limb exoskeletons offer an alternative way to support disabled individuals in their activities of daily living (ADL). Key challenges in exoskeleton technology include innovative mechanical design and implementation of a control method that can assure a safe and comfortable interaction between the human upper limb and exoskeleton. In this article, we present a mechanical design of a four degrees of freedom (DOF) wheelchair mounted upper limb exoskeleton. The design takes advantage of non-backdrivable mechanism that can hold the output position without energy consumption and provide assistance to the completely paralyzed users. Moreover, a PD-based trajectory tracking control is implemented to enhance the performance of human exoskeleton system for two different tasks. Preliminary results are provided to show the effectiveness and reliability of using the proposed design for physically disabled people.

Adaptive Information Fusion for Human Upper Limb Movement Estimation

2012 ◽  
Vol 42 (5) ◽  
pp. 1100-1108 ◽  
Author(s):  
Zhi-Qiang Zhang ◽  
Lian-Ying Ji ◽  
Zhi-Pei Huang ◽  
Jian-Kang Wu
Keyword(s):  
Information Fusion ◽  
Upper Limb ◽  
Limb Movement ◽  
Human Upper Limb

scholarly journals Unvealing the Principal Modes of Human Upper Limb Movements through Functional Analysis

2017 ◽  
Vol 4 ◽  
Author(s):  
Giuseppe Averta ◽  
Cosimo Della Santina ◽  
Edoardo Battaglia ◽  
Federica Felici ◽  
Matteo Bianchi ◽  
...  
Keyword(s):  
Functional Analysis ◽  
Upper Limb ◽  
Limb Movements ◽  
Upper Limb Movements ◽  
Human Upper Limb

Control of Upper-Limb Power-Assist Exoskeleton Using a Human-Robot Interface Based on Motion Intention Recognition

2015 ◽  
Vol 12 (4) ◽  
pp. 1257-1270 ◽  
Author(s):  
Jian Huang ◽  
Weiguang Huo ◽  
Wenxia Xu ◽  
Samer Mohammed ◽  
Yacine Amirat
Keyword(s):  
Upper Limb ◽  
Intention Recognition ◽  
Motion Intention

Human Upper Limb Experimental Analysis for Assistive Devices in Feeding Process

2021 ◽  
Vol 42 ◽  
pp. 122-127
Author(s):  
Cristian Copilusi ◽  
Ionut Geonea ◽  
Alexandru Margine ◽  
Adrian Rosca
Keyword(s):  
Upper Limb ◽  
Experimental Analysis ◽  
Command And Control ◽  
Disabled Persons ◽  
Assistive Devices ◽  
Upper Arm ◽  
Experimental Process ◽  
Feeding Process ◽  
And Control ◽  
Human Upper Limb

This research addresses attention to human upper limb experimental analysis during feeding process aiding disabled persons. The research core is focused on the experimental process of obtaining the angular amplitudes and trajectories developed by the human upper arm during feeding process. The research originality consists on the obtained results which can be used in further researches for command and control of robotic assisting devices.

A Real-Time Method for Manipulating a Realistic Human Upper Limb

2010 ◽  
Author(s):  
D. Ascione ◽  
G. Laccetti ◽  
M. Lapegna ◽  
D. Romano
Keyword(s):  
Real Time ◽  
Upper Limb ◽  
Human Upper Limb
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