|
|
|
|
|
Xiaochen Zhang, Ziyang Song, Qianbo Huang, Ziyi Pan, Wujing Li, Ruining Gong and Bi Zhao
As automated driving system (ADS) technology is adopted in wheelchairs, clarity on the vehicle?s imminent path becomes essential for both users and pedestrians. For users, understanding the imminent path helps mitigate anxiety and facilitates real-time a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Gokhan Gungor and Mehdi Afshari
In this study, a sensorimotor controller is designed to characterize the required muscle force to enable a robotics system to perform a human-like circular movement. When the appropriate muscle internal forces are chosen, the arm end-point tracks the des...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hongye Liu and Xiai Chen
Person re-identification aims to identify the same pedestrians captured by various cameras from different viewpoints in multiple scenarios. Occlusion is the toughest problem for practical applications. In video-based ReID tasks, motion information can be...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alberto Leardini, Harinderjit Singh Gill and Tung-Wu Lu
|
|
|
|
|
|
|
|
|
|
|
Yasuhiro Akiyama, Shuto Yamada, Shogo Okamoto and Yoji Yamada
The simulation of fall plays a critical role in estimating injuries caused by fall. However, implementing human fall mitigation motions on a simulator proves challenging due to the complexity and variability of fall movement. Our simulator estimates fall...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bo Wu, Yuan Wu, Ran Dong, Kiminori Sato, Soichiro Ikuno, Shoji Nishimura and Qun Jin
In the mountainous areas of Japan, the weeds on the slopes of terraced rice paddies still need to be cut by the elderly manually. Therefore, more attention should be given to maintain proper postures while performing mowing actions (especially the pre-cu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wensheng Chen, Yinxi Niu, Zhenhua Gan, Baoping Xiong and Shan Huang
Enhancing information representation in electromyography (EMG) signals is pivotal for interpreting human movement intentions. Traditional methods often concentrate on specific aspects of EMG signals, such as the time or frequency domains, while overlooki...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rytis Maskeliunas, Audrius Kulikajevas, Robertas Dama?evicius, Julius Gri?kevicius and Au?ra Adomaviciene
The research introduces a unique deep-learning-based technique for remote rehabilitative analysis of image-captured human movements and postures. We present a ploninomial Pareto-optimized deep-learning architecture for processing inverse kinematics for s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nikolaos Kladovasilakis, Ioannis Kostavelis, Paschalis Sideridis, Eleni Koltzi, Konstantinos Piliounis, Dimitrios Tzetzis and Dimitrios Tzovaras
During the last decade, soft robotic systems, such as actuators and grippers, have been employed in various commercial applications. Due to the need to integrate robotic mechanisms into devices operating alongside humans, soft robotic systems concentrate...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chong Lan, Yongsheng Wang, Chengze Wang, Shirong Song and Zheng Gong
Traditional 3D animation creation involves a process of motion acquisition, dubbing, and mouth movement data binding for each character. To streamline animation creation, we propose combining artificial intelligence (AI) with a motion capture system. Thi...
ver más
|
|
|
|
|
|