Abstract Background and Objectives In order to improve assistive technologies for people
with reduced mobility, this paper develops a new intelligent real-time emotion detection …

The training of Human Activity Recognition (HAR) models requires a substantial amount of
labeled data. Unfortunately, despite being trained on enormous datasets, most current …

Extracting salient and most prominent features from a given video sequence is a critical step
in Human Action Recognition (HAR). The work presented within this article proposes a new …

A typical healthcare application for elderly people involves monitoring daily activities and
providing them with assistance. Automatic analysis and classification of an image by the …

In this era, deep learning methods offer a broad spectrum of efficient and original algorithms
to recognize or predict an output when given a sequence of inputs. In current trends, deep …

To forecast conditions of action or actions during physical activity, the issue of classifying
body gestures and reactions is referred to as human activity recognition (HAR). As the main …

Recognizing the activities of humans through computer vision techniques is an important
area of research. This area of research leads to various applications such as patient …

In large structures under video surveillance, or when a place is crowded, a CCTV operator
cannot monitor hundreds of people on different video streams. This paper presents a proof …

There is a considerable demand for human activity recognition techniques in the area of
human perception and also encompasses many other purposes like healthcare monitoring …

Human action recognition from a video has received growing attention in computer vision
and has made significant progress in recent years. Action recognition is described as a …