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Human action recognition: A taxonomy-based survey, updates, and opportunities
Human action recognition systems use data collected from a wide range of sensors to
accurately identify and interpret human actions. One of the most challenging issues for …
accurately identify and interpret human actions. One of the most challenging issues for …
A survey on video-based human action recognition: recent updates, datasets, challenges, and applications
Abstract Human Action Recognition (HAR) involves human activity monitoring task in
different areas of medical, education, entertainment, visual surveillance, video retrieval, as …
different areas of medical, education, entertainment, visual surveillance, video retrieval, as …
Toward human activity recognition: a survey
Human activity recognition (HAR) is a complex and multifaceted problem. The research
community has reported numerous approaches to perform HAR. Along with HAR …
community has reported numerous approaches to perform HAR. Along with HAR …
Hand-crafted and deep convolutional neural network features fusion and selection strategy: an application to intelligent human action recognition
Human action recognition (HAR) has gained much attention in the last few years due to its
enormous applications including human activity monitoring, robotics, visual surveillance, to …
enormous applications including human activity monitoring, robotics, visual surveillance, to …
A comprehensive review on handcrafted and learning-based action representation approaches for human activity recognition
Human activity recognition (HAR) is an important research area in the fields of human
perception and computer vision due to its wide range of applications. These applications …
perception and computer vision due to its wide range of applications. These applications …
Human action recognition using transfer learning with deep representations
Human action recognition is an imperative research area in the field of computer vision due
to its numerous applications. Recently, with the emergence and successful deployment of …
to its numerous applications. Recently, with the emergence and successful deployment of …
A hybrid approach for human activity recognition with support vector machine and 1D convolutional neural network
The Human Activity Recognition (HAR) is a pattern recognition task that learns to identify
human physical activities recorded by different sensor modalities. The application areas …
human physical activities recorded by different sensor modalities. The application areas …
Video benchmarks of human action datasets: a review
Vision-based Human activity recognition is becoming a trendy area of research due to its
wide application such as security and surveillance, human–computer interactions, patients …
wide application such as security and surveillance, human–computer interactions, patients …
Hybrid model featuring CNN and LSTM architecture for human activity recognition on smartphone sensor data
The traditional methods of recognizing human activities involve typical machine learning
(ML) algorithms which uses heuristic engineered features. Human activities are dynamic in …
(ML) algorithms which uses heuristic engineered features. Human activities are dynamic in …
A two-fold transformation model for human action recognition using decisive pose
Human action recognition in videos is a tough task due to the complex background,
geometrical transformation and an enormous volume of data. Hence, to address these …
geometrical transformation and an enormous volume of data. Hence, to address these …