19   Artículos

 
en línea
Jinhu Zheng, Zezhou Pan, Hao Zhen, Xuhua Deng, Chumao Zheng, Zhenye Qiu, Longpan Xie, Zhe Xiong, Lijuan Li and Feng Liu    
Precast concrete structure is a low-carbon building system that has been attracting extensive attention in recent decades. Beam?column joints are the weak links in precast concrete structures. Past studies showed that the five-spiral stirrups had excelle... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
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
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Cheng-Yu Li, Fan Wang and Ai-Zhu Zhu    
Based on the concept of structural damage control, a beam-through steel frame system with continuous columns was constructed. Replaceable connectors were set at both ends of an H-shaped steel column to connect the beam with high-strength bolts. In this s... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Jen-Li Chung, Lee-Yeng Ong and Meng-Chew Leow    
Human pose estimation (HPE) has become a prevalent research topic in computer vision. The technology can be applied in many areas, such as video surveillance, medical assistance, and sport motion analysis. Due to higher demand for HPE, many HPE libraries... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Junjie Chen, Wei Yang, Chenqi Liu and Leiyue Yao    
In recent years, skeleton-based human action recognition (HAR) approaches using convolutional neural network (CNN) models have made tremendous progress in computer vision applications. However, using relative features to depict human actions, in addition... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Michal Tölgyessy, Martin Dekan and Lubo? Chovanec    
The Azure Kinect, the successor of Kinect v1 and Kinect v2, is a depth sensor. In this paper we evaluate the skeleton tracking abilities of the new sensor, namely accuracy and precision (repeatability). Firstly, we state the technical features of all thr... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jian Feng, Shuo Wang, Marco Meloni, Qian Zhang, Jingwen Yang and Jianguo Cai    
This paper presents an experimental investigation of the seismic performance of interior beam?column joints with beams reinforced with Grade 600MPa longitudinal steel bars. Six full-scale reinforcement concrete (RC) interior joints are designed with diff... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jiuqing Dong, Yongbin Gao, Hyo Jong Lee, Heng Zhou, Yifan Yao, Zhijun Fang and Bo Huang    
Skeleton-based action recognition is a widely used task in action related research because of its clear features and the invariance of human appearances and illumination. Furthermore, it can also effectively improve the robustness of the action recogniti... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xiaopeng Yang, Zhichan Lim, Hayoung Jung, Younggi Hong, Mengfei Zhang, Dougho Park and Heecheon You    
The present study proposed a method to estimate the finite finger joint centers of rotation (CoRs) with high accuracy using 3D hand skeleton motions reconstructed from CT scans. Ten hand postures starting from a fully extended posture and ending at a fis... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ibrahim Furkan Ince    
Human activity recognition (HAR) has been an active area in computer vision with a broad range of applications, such as education, security surveillance, and healthcare. HAR is a general time series classification problem. LSTMs are widely used for time ... ver más
Revista: Applied Sciences    Formato: Electrónico

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