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An Optical Character Recognition (OCR) approach for printed Arabic script is presented in this paper, Which is one of the most popular scripts in the world. Development of an OCR system. For Arabic script it is difficult...

Abstract Introduction The recognition of facial expressions of emotion is essential to living in society. However, individuals with major depression tend to interpret information considered imprecise in a negative ligh...

Abstract Facial expressions exhibit a wide range of emotions. They are regulated by neural mechanisms in the brain that are beyond one’s control. Facial expressions are largely involuntary. The term “micro facial exp...

Abstract Wearable sensor–based human activity recognition (HAR) is central to smart sport and health-monitoring applications, yet existing deep learning models often rely on ad hoc multimodal fusion and offer limited i...

Automatic movement recognition is often used to support various fields such as clinical, sports, and security. To date, there is a lack of a classification feature that is both interpretable and not movement-specific. Pr...

ABSTRACT Analysing learners' facial expressions during learning and exploring their learning processes and emotional changes are of great significance for assisting teachers' teaching and promoting smart education. In co...

The aim of this study is the early detection of developing insulation defects in high-voltage oil-filled bushings based on the analysis of the temporal behavior of diagnostic indicators rather than only their comparison ...

Abstract Emotion recognition is fundamental to building socially intelligent robotic systems capable of effective and adaptive Human-Robot Interaction (HRI) and Collaboration (HRC). This literature review synthesizes rec...

Dynamic gesture recognition is a core technology for human–computer interaction, yet existing methods face prominent limitations in hand spatial topology modeling, long–short-term temporal feature fusion, and general...

Face-recognition technology is one of the most important advancements in the field of computer vision. They play a crucial role in many applications, including biometric authentication, surveillance, online security, and...

Abstract Facial Expression Recognition (FER) demonstrates significant value in practical scenarios such as intelligent human–computer interaction. However, conventional FER methods often struggle to balance performance...

Abstract GIS (Gas-insulated switchgear) is a critical component of modern power grids, and accurate awareness of its internal insulation condition is essential to power system safety. PD (Partial Discharge) is a key indi...

Los requerimientos para capturar información sobre la forma del cuerpo humano están creciendo rápidamente y no solo se limitan a estudios ergonómicos o diseño, sino que también resultan de interés para aplicacione...

Abstract With the development of sports rehabilitation, accurate assessment of the patient’s rehabilitation process has become the key to enhance the rehabilitation effect. To solve the problems of inaccurate recogniti...

Anions are ionic species that play important roles in biology, medicine, catalysis, and environmental science. Identifying these species is crucial for industrial applications and clinical diagnostics. In recent years, e...

In this work we propose an automatic low cost procedure aimed at classifying legume species and varieties based exclusively on the characterization and analysis of the leaf venation network. The identification of leaf ve...

Background For those with hearing loss, sign language (SL) is an essential communication tool. The most common and basic type of SL is American SL (ASL). ASL plays a vital role in various communicative contexts, includin...

Modern animal and crop production practices are associated with the regular use of antimicrobials, potentially increasing selection pressure on bacteria to become resistant. Alternative approaches are needed in order to ...

Abstract To improve sketch recognition accuracy, this study proposes an enhanced sketch recognition model based on an improved CycleGAN network and a dual attention mechanism. The proposed model first incorporates multi-...

The perception systems for Traffic Sign Recognition (TSR) and Lane Line Recognition (LLR) are foundational pillars for the safe and effective operation of Advanced Driver-Assistance Systems (ADAS) and fully autonomous ve...

A idéia de reconhecimento social é examinada com relação ao seu alcance e sua área de aplicação. Especial atenção é dedicada às contribuições de Charles Taylor e Axel Honneth. Argumenta-se que essa perspecti...

Emotion recognition is a relevant capability for understanding human behavior, enabling interactive systems to support natural interaction with their users. Among the diverse ways the literature tackles this task, gait e...

Currently, much effort is devoted to improving the accuracy of Wi-Fi sensing. Despite the typically high density of modern Wi-Fi deployments, in many scenarios, the number of access points under control is limited, which...

The investigation aims to address the pressing issue of excessive administrative burden on medical personnel in Ukraine, which leads to significant time expenditures and the risk of errors in manual documentation. As a r...