131   Artículos

 
en línea
Vijeta Sharma, Manjari Gupta, Ajai Kumar and Deepti Mishra    
The video camera is essential for reliable activity monitoring, and a robust analysis helps in efficient interpretation. The systematic assessment of classroom activity through videos can help understand engagement levels from the perspective of both stu... ver más
Revista: Information    Formato: Electrónico

 
en línea
Ramez M. Elmasry, Mohamed A. Abd El Ghany, Mohammed A.-M. Salem and Omar M. Fahmy    
Human behavior is regarded as one of the most complex notions present nowadays, due to the large magnitude of possibilities. These behaviors and actions can be distinguished as normal and abnormal. However, abnormal behavior is a vast spectrum, so in thi... ver más
Revista: AI    Formato: Electrónico

 
en línea
Jun-Hwa Kim and Chee Sun Won    
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Mingxin Zou, Yanqing Zhou, Xinhua Jiang, Julin Gao, Xiaofang Yu and Xuelei Ma    
Field manual labor behavior recognition is an important task that applies deep learning algorithms to industrial equipment for capturing and analyzing people?s behavior during field labor. In this study, we propose a field manual labor behavior recogniti... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Shiplu Das, Sanjoy Pratihar, Buddhadeb Pradhan, Rutvij H. Jhaveri and Francesco Benedetto    
The main purpose of a detection system is to ascertain the state of an individual?s eyes, whether they are open and alert or closed, and then alert them to their level of fatigue. As a result of this, they will refrain from approaching an accident site. ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Hui-Jun Kim, Jung-Soon Kim and Sung-Hee Kim    
The existing question-and-answer screening test has a limitation in that test accuracy varies due to a high learning effect and based on the inspector?s competency, which can have consequences for rapid-onset cognitive-related diseases. To solve this pro... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Alvaro A. Teran-Quezada, Victor Lopez-Cabrera, Jose Carlos Rangel and Javier E. Sanchez-Galan    
Convolutional neural networks (CNN) have provided great advances for the task of sign language recognition (SLR). However, recurrent neural networks (RNN) in the form of long?short-term memory (LSTM) have become a means for providing solutions to problem... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Haoming Liang, Jinze Du, Hongchen Zhang, Bing Han and Yan Ma    
Recently, few-shot learning has attracted significant attention in the field of video action recognition, owing to its data-efficient learning paradigm. Despite the encouraging progress, identifying ways to further improve the few-shot learning performan... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Miao Feng and Jean Meunier    
Recognizing human actions can help in numerous ways, such as health monitoring, intelligent surveillance, virtual reality and human?computer interaction. A quick and accurate detection algorithm is required for daily real-time detection. This paper first... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Shukai Li, Xiaofang Wang, Dongri Shan and Peng Zhang    
Temporal modeling is a key problem in action recognition, and it remains difficult to accurately model temporal information of videos. In this paper, we present a local spatiotemporal extraction module (LSTE) and a channel time excitation module (CTE), w... ver más
Revista: Applied Sciences    Formato: Electrónico

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