A survey on wearable sensor modality centred human activity recognition in health care

Y Wang, S Cang, H Yu - Expert Systems with Applications, 2019 - Elsevier
Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …

A review of machine learning-based human activity recognition for diverse applications

F Kulsoom, S Narejo, Z Mehmood… - Neural Computing and …, 2022 - Springer
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 …

Toward human activity recognition: a survey

G Saleem, UI Bajwa, RH Raza - Neural Computing and Applications, 2023 - Springer
Human activity recognition (HAR) is a complex and multifaceted problem. The research
community has reported numerous approaches to perform HAR. Along with HAR …

Vision-based human activity recognition: a survey

DR Beddiar, B Nini, M Sabokrou, A Hadid - Multimedia Tools and …, 2020 - Springer
Human activity recognition (HAR) systems attempt to automatically identify and analyze
human activities using acquired information from various types of sensors. Although several …

InnoHAR: A deep neural network for complex human activity recognition

C Xu, D Chai, J He, X Zhang, S Duan - Ieee Access, 2019 - ieeexplore.ieee.org
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 …

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 …

Machine and deep learning for sport-specific movement recognition: A systematic review of model development and performance

EE Cust, AJ Sweeting, K Ball… - Journal of sports …, 2019 - Taylor & Francis
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 …

Sensing technology for human activity recognition: A comprehensive survey

B Fu, N Damer, F Kirchbuchner, A Kuijper - Ieee Access, 2020 - ieeexplore.ieee.org
Sensors are devices that quantify the physical aspects of the world around us. This ability is
important to gain knowledge about human activities. Human Activity recognition plays an …

From action to activity: sensor-based activity recognition

Y Liu, L Nie, L Liu, DS Rosenblum - Neurocomputing, 2016 - Elsevier
As compared to actions, activities are much more complex, but semantically they are more
representative of a human׳ s real life. Techniques for action recognition from sensor …

Human action recognition using two-stream attention based LSTM networks

C Dai, X Liu, J Lai - Applied soft computing, 2020 - Elsevier
It is well known that different frames play different roles in feature learning in video based
human action recognition task. However, most existing deep learning models put the same …