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A Human Posture Estimation Method for Image Interaction System Based on ECA
Nowadays, human posture estimation intelligent algorithm is widely used in image interaction system for better interaction and accuracy. In the paper...
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RFPose-OT: RF-based 3D human pose estimation via optimal transport theory
This paper introduces a novel framework, i.e., RFPose-OT, to enable three-dimensional (3D) human pose estimation from radio frequency (RF) signals....
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Identifying human activities in megastores through postural data to monitor shoplifting events
In recent years, modeling activity patterns for understanding events and human behavior has drawn prominent attention in research. Multiple methods...
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Utilizing CPG-3D, graph theory anchored approach to recognize human action recognition
Graph theory originated as a fun way to solve math problems, but it has now evolved into a significant mathematics subject with several applications...
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Detection of Rarely Occurring Behaviors Based on Human Trajectories and Their Associated Physical Parameters
The complexity of detecting rarely occurring behaviors through human trajectories is closely related to a lack of data, unclear behavioral...
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Utilizing enhanced deep learning methods for residential burglary detection via analysis of human behavior patterns
Residential burglary is a severe crime that affects millions of residents each year. It is critical to analyze patterns of human behavior in...
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Learning Human Postures Using Lab-Depth HOG Descriptors
Human Posture Recognition is gaining increasing attention in the field of computer vision due to its promising applications in the areas of health...
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System Intrusion Detection and Prevention
Psychologically there is value attached to ownership of an asset. How much is spent on protecting the asset determines the value of the asset. Once a...
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Crowded pose-guided multi-task learning for instance-level human parsing
Instance-level human parsing remains challenging due to the similarity between human instances and background, complex interactions, and various...
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Human Activity Recognition with a Time Distributed Deep Neural Network
Human activity recognition (HAR) is necessary in numerous domains, including medicine, sports, and security. This research offers a method to improve...
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Toward Surroundings-Aware Temporal Prediction of 3D Human Skeleton Sequence
Temporal prediction of human pose sequence is vital for robot applications such as human-robot interaction and autonomous control of a robot. Recent...
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The Study of Human Action Recognition in Videos with Long Short-Term Memory Model
Human Action Recognition (HAR) requires tracking diverse fields of human activities in healthcare, education, entertainment, visual monitoring, video...
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Leveraging Sign Language Processing with Formal SignWriting and Deep Learning Architectures
Advances in sign language processing have not adequately kept pace with the tremendous progress that has been made in oral language processing. This...
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Geometric Pose Affordance: Monocular 3D Human Pose Estimation with Scene Constraints
Accurate estimation of 3D human pose from a single image remains a challenging task despite many recent advances. In this paper, we explore the...
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Enhancing the accuracy of a human emotion recognition method using spatial temporal graph convolutional networks
Artificial intelligence technology has been widely used in human emotion recognition applications. Unlike traditional facial, semantic and brain wave...
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PoseAnalyser: A Survey on Human Pose Estimation
Human pose estimation is the process of detecting the body keypoints of a person and can be used to classify different poses. Many researchers have...
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Human pose estimation using deep learning: review, methodologies, progress and future research directions
Human pose estimation (HPE) has developed over the past decade into a vibrant field for research with a variety of real-world applications like 3D...
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Eye Gaze and Interaction Differences of Holistic Versus Analytic Users in Image-Recognition Human Interaction Proof Schemes
Image-recognition Human Interaction Proof (HIP) schemes are widely used security defense mechanisms that are utilized by service providers to...
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Transformer-based models to deal with heterogeneous environments in Human Activity Recognition
Human Activity Recognition (HAR) on mobile devices has been demonstrated to be possible using neural models trained on data collected from the...
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Literature Review on Human Behavioural Analysis Using Deep Learning Algorithm
Human behaviour analysis is the active area of research in computer science and engineering which determines the behaviour of humans using various...