Sensor-based and vision-based human activity recognition: A comprehensive survey
Human activity recognition (HAR) technology that analyzes data acquired from various types
of sensing devices, including vision sensors and embedded sensors, has motivated the …
of sensing devices, including vision sensors and embedded sensors, has motivated the …
Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects
Abstract Human Activity Recognition (HAR) plays a significant role in the everyday life of
people because of its ability to learn extensive high-level information about human activity …
people because of its ability to learn extensive high-level information about human activity …
Vision-based human activity recognition: a survey
Human activity recognition (HAR) systems attempt to automatically identify and analyze
human activities using acquired information from various types of sensors. Although several …
human activities using acquired information from various types of sensors. Although several …
InnoHAR: A deep neural network for complex human activity recognition
Human activity recognition (HAR) based on sensor networks is an important research
direction in the fields of pervasive computing and body area network. Existing researches …
direction in the fields of pervasive computing and body area network. Existing researches …
Abnormal behavior recognition for intelligent video surveillance systems: A review
AB Mabrouk, E Zagrouba - Expert Systems with Applications, 2018 - Elsevier
With the increasing number of surveillance cameras in both indoor and outdoor locations,
there is a grown demand for an intelligent system that detects abnormal events. Although …
there is a grown demand for an intelligent system that detects abnormal events. Although …
Machine and deep learning for sport-specific movement recognition: A systematic review of model development and performance
Objective assessment of an athlete's performance is of importance in elite sports to facilitate
detailed analysis. The implementation of automated detection and recognition of sport …
detailed analysis. The implementation of automated detection and recognition of sport …
Deep learning-based anomaly detection in video surveillance: A survey
Anomaly detection in video surveillance is a highly developed subject that is attracting
increased attention from the research community. There is great demand for intelligent …
increased attention from the research community. There is great demand for intelligent …
Stacked lstm network for human activity recognition using smartphone data
Sensor-based human activity recognition is an essential task for automatic behavior analysis
for sports player, senior citizens, and IoT applications. The traditional approaches are based …
for sports player, senior citizens, and IoT applications. The traditional approaches are based …
Human action recognition using transfer learning with deep representations
AB Sargano, X Wang, P Angelov… - 2017 International joint …, 2017 - ieeexplore.ieee.org
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 …
Vision and inertial sensing fusion for human action recognition: A review
S Majumder, N Kehtarnavaz - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Human action recognition is used in many applications such as video surveillance, human-
computer interaction, assistive living, and gaming. Many papers have appeared in the …
computer interaction, assistive living, and gaming. Many papers have appeared in the …