A review of deep learning-based human activity recognition on benchmark video datasets
Different types of research have been done on video data using Artificial Intelligence (AI)
deep learning techniques. Most of them are behavior analysis, scene understanding, scene …
deep learning techniques. Most of them are behavior analysis, scene understanding, scene …
AUTO-HAR: An adaptive human activity recognition framework using an automated CNN architecture design
Convolutional neural networks (CNNs) have demonstrated exceptional results in the
analysis of time-series data when used for Human Activity Recognition (HAR). The manual …
analysis of time-series data when used for Human Activity Recognition (HAR). The manual …
Static and dynamic isolated Indian and Russian sign language recognition with spatial and temporal feature detection using hybrid neural network
The Sign Language Recognition system intends to recognize the Sign language used by the
hearing and vocally impaired populace. The interpretation of isolated sign language from …
hearing and vocally impaired populace. The interpretation of isolated sign language from …
A comparative evaluation of bayesian networks structure learning using falcon optimization algorithm
HQ Awla, SW Kareem, AS Mohammed - IJIMAI, 2023 - dialnet.unirioja.es
Bayesian networks are analytical models that may represent probabilistic dependent
connections among variables and are useful in machine learning for generating knowledge …
connections among variables and are useful in machine learning for generating knowledge …
Multiview human activity recognition using uniform rotation invariant local binary patterns
Significant efforts have been made to monitor human activity, although it remains a
challenging area for computer vision research. This paper has introduced a framework to …
challenging area for computer vision research. This paper has introduced a framework to …
AI-assisted food intake activity recognition using 3D mmWave radars
YH Wu, Y Chen, S Shirmohammadi… - Proceedings of the 7th …, 2022 - dl.acm.org
The automatic recognition of when and for how long a person is eating a certain food or
drinking has applications in telecare, smarthome data monetization, and diet control …
drinking has applications in telecare, smarthome data monetization, and diet control …
Toward extracting and exploiting generalizable knowledge of deep 2D transformations in computer vision
Existing deep learning models suffer from out-of-distribution (ood) performance drop in
computer vision tasks. In comparison, humans have a remarkable ability to interpret images …
computer vision tasks. In comparison, humans have a remarkable ability to interpret images …
Quantum water strider algorithm with hybrid-deep-learning-based activity recognition for human–computer interaction
Featured Application This work is based on automatic human activity recognition, which has
drawn much attention in video analysis technology due to the growing demands from many …
drawn much attention in video analysis technology due to the growing demands from many …
Enhancing Human Action Recognition with Adaptive Hybrid Deep Attentive Networks and Archerfish Optimization.
AYAB Ahmad, J Alzubi, S James… - Computers …, 2024 - search.ebscohost.com
In recent years, wearable devices-based Human Activity Recognition (HAR) models have
received significant attention. Previously developed HAR models use hand-crafted features …
received significant attention. Previously developed HAR models use hand-crafted features …
Recurrent network solutions for human posture recognition based on Kinect skeletal data
Ambient Assisted Living (AAL) systems are designed to provide unobtrusive and user-
friendly support in daily life and can be used for monitoring frail people based on various …
friendly support in daily life and can be used for monitoring frail people based on various …