A review of machine learning-based human activity recognition for diverse applications
Human activity recognition (HAR) is a very active yet challenging and demanding area of
computer science. Due to the articulated nature of human motion, it is not trivial to detect …
computer science. Due to the articulated nature of human motion, it is not trivial to detect …
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 …
Wearable sensor-based pattern mining for human activity recognition: Deep learning approach
Purpose This paper aims to deal with the human activity recognition using human gait
pattern. The paper has considered the experiment results of seven different activities: normal …
pattern. The paper has considered the experiment results of seven different activities: normal …
Human activity recognition (har) using deep learning: Review, methodologies, progress and future research directions
P Kumar, S Chauhan, LK Awasthi - Archives of Computational Methods in …, 2024 - Springer
Human activity recognition is essential in many domains, including the medical and smart
home sectors. Using deep learning, we conduct a comprehensive survey of current state …
home sectors. Using deep learning, we conduct a comprehensive survey of current state …
Heterogeneous computing model for post‐injury walking pattern restoration and postural stability rehabilitation exercise recognition
The research paper presents the heterogeneous computing model for analysis & restoration
of human walking deformity and posture instability. Gait‐related walking activities are very …
of human walking deformity and posture instability. Gait‐related walking activities are very …
Automatic classification of oral pathologies using orthopantomogram radiography images based on convolutional neural network
A Laishram, K Thongam - 2022 - reunir.unir.net
An attempt has been made to device a robust method to classify different oral pathologies
using Orthopantomogram (OPG) images based on Convolutional Neural Network (CNN) …
using Orthopantomogram (OPG) images based on Convolutional Neural Network (CNN) …
Deep multi-model fusion for human activity recognition using evolutionary algorithms
Machine recognition of the human activities is an active research area in computer vision. In
previous study, either one or two types of modalities have been used to handle this task …
previous study, either one or two types of modalities have been used to handle this task …
Static and dynamic isolated Indian and Russian sign language recognition with spatial and temporal feature detection using hybrid neural network
E Rajalakshmi, R Elakkiya, AL Prikhodko… - ACM Transactions on …, 2022 - dl.acm.org
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 …
Model inversion attack: analysis under gray-box scenario on deep learning based face recognition system
In a wide range of ML applications, the training data contains privacy-sensitive information
that should be kept secure. Training the ML systems by privacy-sensitive data makes the ML …
that should be kept secure. Training the ML systems by privacy-sensitive data makes the ML …
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 …