Speech technology systems such as Automatic Speech Recognition (ASR), speaker diarization, speaker recognition, and speech synthesis have advanced significantly by the emergence of deep learning ...

Gait recognition is a biometric technology that identifies individuals based on their unique way of walking. Most of the work on human gait recognition (HGR) systems has minimal user records and is ...

Upholding one's physical and mental health is crucial in today's fast-paced environment. A comprehensive assessment of 21 studies published over two decades until 2023 revealed that 12.4% of children ...

In the field of optical character recognition, there are still unans wered research questions regarding the recognition of handwritten text. In this paper, an effective method for developing ...

This paper presents a pattern-recognition algorithm based on fragmentation and concatenation. The main mechanism was loosely inspired by Jeff Hawkins' Hierarchical Temporal Memory (HTM) model of the ...

Hand sign recognition is a vital technology in the human-computer interaction, enabling individuals to communicate with machines naturally and effectively. An innovative approach for real-time hand ...

Human dynamic behavior detection and classification based on video plays an important role in understanding human motion, and it has many interesting applications in crime watch, security surveillance ...

Handwritten documents recognition is a challenging task in the field of pattern recognition. It has an array of applications wherein recognition of words, alphabets, digits and other characters are ...

With the aid of artificial intelligence, face recognition systems have made tremendous strides; nonetheless, the problem of correctly identifying faces in partially obscured photos still exists. For ...

Human activity recognition (HAR) is essential for advancing healthcare, fitness, and patient monitoring because it provides critical insights into human physical movements. This study proposes a novel ...