Artificial Intelligence (AI), especially deep learning, has significantly impacted audio and video signal processing. With large-scale multimodal datasets and enhanced computational resources, AI is ...

Abstract: In recent years, due to the widespread usage of various sensors action recognition is becoming more popular in many fields such as person surveillance, human-robot interaction etc. In this ...

We introduce a RGB+S dataset named “Industrial Human Action Recognition Dataset” (InHARD) from a real-world setting for industrial human action recognition with over 2 million frames, collected from ...

Automated assessment of human motion plays a vital role in rehabilitation, enabling objective evaluation of patient performance and progress. Unlike general human activity recognition, rehabilitation ...

Objective: This study aimed to develop deep learning–based automatic facial emotion recognition (FER) models for binary (positive vs negative) and multiclass emotion classification tasks, assess the ...

These days, people can have natural conversations with their phones as if they were chatting with a friend. That’s thanks to the rapid evolution of voice recognition AI (artificial intelligence) ...

As artificial intelligence (AI) models are increasingly capable of producing more life-like content, there has been an understandable hesitancy regarding “deepfakes” and their potential negative ...

Abstract: In this era, technology has significantly simplified people's lives, and one of the recent advancements in artificial intelligence is deep learning. Deep learning has emerged as a field that ...

Over 100 years ago, Alexander Graham Bell asked the readers of National Geographic to do something bold and fresh – “to found a new science.” He pointed out that sciences based on the measurements of ...

1 PG Department of Computer Applications, Dwaraka Doss Goverdhan Doss Vaishnav College, Chennai, India. 2 PG and Research Department of Computer Science, Dwaraka Doss Goverdhan Doss Vaishnav College, ...