Human activity recognition in artificial intelligence framework: a narrative review

N Gupta, SK Gupta, RK Pathak, V Jain… - Artificial intelligence …, 2022 - Springer
Human activity recognition (HAR) has multifaceted applications due to its worldly usage of
acquisition devices such as smartphones, video cameras, and its ability to capture human …

Review of wearable devices and data collection considerations for connected health

V Vijayan, JP Connolly, J Condell, N McKelvey… - Sensors, 2021 - mdpi.com
Wearable sensor technology has gradually extended its usability into a wide range of well-
known applications. Wearable sensors can typically assess and quantify the wearer's …

2D federated learning for personalized human activity recognition in cyber-physical-social systems

X Zhou, W Liang, J Ma, Z Yan, I Kevin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The proliferation of the Internet of Things (IoT), wearable computing, and social media
technologies bring forward the realization of the so-called Cyber-Physical-Social Systems …

ST-DeepHAR: Deep learning model for human activity recognition in IoHT applications

M Abdel-Basset, H Hawash… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Human activity recognition (HAR) has been regarded as an indispensable part of many
smart home systems and smart healthcare applications. Specifically, HAR is of great …

[PDF][PDF] Multimodal wearable sensing for sport-related activity recognition using deep learning networks

S Mekruksavanich, A Jitpattanakul - Journal of Advances in Information …, 2022 - jait.us
Activity Recognition (S-HAR) are generally capable of regular simple actions (walking,
sitting, or standing), but are indistinguishable from sophisticated activities, such as sports …

Transfer learning with fine tuning for human action recognition from still images

S Chakraborty, R Mondal, PK Singh, R Sarkar… - Multimedia Tools and …, 2021 - Springer
Still image-based human action recognition (HAR) is one of the most challenging research
problems in the field of computer vision. Some of the significant reasons to support this claim …

HIT HAR: human image threshing machine for human activity recognition using deep learning models

A Poulose, JH Kim, DS Han - Computational Intelligence and …, 2022 - Wiley Online Library
In recent days, research in human activity recognition (HAR) has played a significant role in
healthcare systems. The accurate activity classification results from the HAR enhance the …

[HTML][HTML] Outlier detection strategies for WSNs: A survey

B Chander, G Kumaravelan - Journal of King Saud University-Computer …, 2022 - Elsevier
Abstract Wireless Sensor Networks (WSNs) are developed significantly from the last
decades and attracted the attention of scientific and industrial domains. In WSNs, sensor …

Ensemble residual network-based gender and activity recognition method with signals

T Tuncer, F Ertam, S Dogan, E Aydemir… - The Journal of …, 2020 - Springer
Nowadays, deep learning is one of the popular research areas of the computer sciences,
and many deep networks have been proposed to solve artificial intelligence and machine …

Body temperature monitoring for regular COVID-19 prevention based on human daily activity recognition

L Zhang, Y Zhu, M Jiang, Y Wu, K Deng, Q Ni - Sensors, 2021 - mdpi.com
Existing wearable systems that use G-sensors to identify daily activities have been widely
applied for medical, sports and military applications, while body temperature as an obvious …