Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Junpei Zhong"'
Publikováno v:
Future Generation Computer Systems. 117:480-485
Automatic robot activity understanding plays an important role in human–computer interaction (HCI), especially in smart home service robots. Existing manipulator control methods, such as position control, vision-based control method, fail to meet t
Publikováno v:
International Journal of Automation and Computing
Gesture recognition has been widely used for human-robot interaction. At present, a problem in gesture recognition is that the researchers did not use the learned knowledge in existing domains to discover and recognize gestures in new domains. For ea
Autor:
Xing Li, Junpei Zhong
Publikováno v:
IEEE Access, Vol 8, Pp 154461-154470 (2020)
Modern technology has been improving, as is medical technology. Over the years, rehabilitation medicine is developing and growing. The use of rehabilitation robots to achieve the upper limb motor function of patients with hemiplegia has also become a
Publikováno v:
Neural Computing & Applications
Human distance estimation is essential in many vital applications, specifically, in human localisation-based systems, such as independent living for older adults applications, and making places safe through preventing the transmission of contagious d
Publikováno v:
Electronics, Vol 10, Iss 793, p 793 (2021)
Aspired to build intelligent agents that can assist humans in daily life, researchers and engineers, both from academia and industry, have kept advancing the state-of-the-art in domestic robotics. With the rapid advancement of both hardware (e.g., hi
Publikováno v:
IJCNN
Recurrent Neural Network (RNN) have been used for sequence-related learning tasks, such as language and action, in the field of cognitive robotics. Gated mechanisms used in LSTM and GRU perform well in remembering long-term dependency. But to better
Publikováno v:
PETRA
The recognition of human activities of daily living has gained increasing attention in recent years due to its potential to promote autonomy for elderly people in their own homes and its usage for security surveillance in scenarios such as supermarke
Publikováno v:
SSCI
With the speedy development of hardware (e.g., high performance computing, smaller and cheaper sensors) and software (e.g., deep learning techniques and interaction technologies), robotic products and IoT devices have gradually become accessible to h
Publikováno v:
Neurocomputing. 275:2093-2103
Compared with traditional robot teaching methods, robots can learn various human-like skills in a more efficient and natural manner through teleoperation. In this paper, we propose a teleoperation method based on human-robot interaction (HRI), which
Publikováno v:
Complexity, Vol 2017 (2017)
As an imitation of the biological nervous systems, neural networks (NN), which are characterized with powerful learning ability, have been employed in a wide range of applications, such as control of complex nonlinear systems, optimization, system id