Feature Fusion for Human Activity Recognition using Parameter-Optimized Multi-Stage Graph Convolutional Network and Transformer Models

M Belal, T Hassan, A Ahmed, A Aljarah… - arXiv preprint arXiv …, 2024 - arxiv.org
Human activity recognition (HAR) is a crucial area of research that involves understanding
human movements using computer and machine vision technology. Deep learning has …

Automated Human Activity Recognition from Controlled Environment Videos

P Mandadapu - 2023 - search.proquest.com
This thesis explores deep learning methods for Human Activity Recognition (HAR) from
videos to automate the annotation of human activities in videos. The research is particularly …

Automatic Human Activity Detection Using Novel Deep Learning Architecture

A Haldorai, S Murugan, M Balakrishnan - Artificial Intelligence for …, 2024 - Springer
Abstract Human Activity Detection (HAD) refers to the process of categorizing and identifying
human motion. HAD studies have received significant attention in the estimation of …

An Extensive Analysis of Deep Learning-Based Human Activity Detection Techniques

CN Kumar, DB Babu - 2024 2nd International Conference on …, 2024 - ieeexplore.ieee.org
Because identifying human activities has several implications for a range of disciplines,
including privacy, amusement, ambient community living, and healthcare oversight and …

Human Activity Recognition using ShuffleNetV2 Model

SN PS, JVB Benifa, A Vijayakumar - … Intelligent Computing and …, 2023 - ieeexplore.ieee.org
HAR is specified as the crucial task within the field of Computer vision and artificial
intelligence. Main aim of HAR is to observing and labelling different human activity images …