Human action recognition: A taxonomy-based survey, updates, and opportunities

MG Morshed, T Sultana, A Alam, YK Lee - Sensors, 2023 - mdpi.com
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 …

Sensor-based and vision-based human activity recognition: A comprehensive survey

LM Dang, K Min, H Wang, MJ Piran, CH Lee, H Moon - Pattern Recognition, 2020 - Elsevier
Human activity recognition (HAR) technology that analyzes data acquired from various types
of sensing devices, including vision sensors and embedded sensors, has motivated the …

[HTML][HTML] Lstm networks using smartphone data for sensor-based human activity recognition in smart homes

S Mekruksavanich, A Jitpattanakul - Sensors, 2021 - mdpi.com
Human Activity Recognition (HAR) employing inertial motion data has gained considerable
momentum in recent years, both in research and industrial applications. From the abstract …

A federated learning system with enhanced feature extraction for human activity recognition

Z **ao, X Xu, H **ng, F Song, X Wang… - Knowledge-Based Systems, 2021 - Elsevier
With the rapid growth of mobile devices, wearable sensor-based human activity recognition
(HAR) has become one of the hottest topics in the Internet of Things. However, it is …

Deep-learning-enhanced human activity recognition for internet of healthcare things

X Zhou, W Liang, I Kevin, K Wang… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Along with the advancement of several emerging computing paradigms and technologies,
such as cloud computing, mobile computing, artificial intelligence, and big data, Internet of …

Variational LSTM enhanced anomaly detection for industrial big data

X Zhou, Y Hu, W Liang, J Ma… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the increasing population of Industry 4.0, industrial big data (IBD) has become a hotly
discussed topic in digital and intelligent industry field. The security problem existing in the …

Wearables and the Internet of Things (IoT), applications, opportunities, and challenges: A Survey

FJ Dian, R Vahidnia, A Rahmati - IEEE access, 2020 - ieeexplore.ieee.org
Smart wearables collect and analyze data, and in some scenarios make a smart decision
and provide a response to the user and are finding more and more applications in our daily …

[HTML][HTML] Human activity recognition based on residual network and BiLSTM

Y Li, L Wang - Sensors, 2022 - mdpi.com
Due to the wide application of human activity recognition (HAR) in sports and health, a large
number of HAR models based on deep learning have been proposed. However, many …

Digital twin to improve the virtual-real integration of industrial IoT

Z Jiang, Y Guo, Z Wang - Journal of Industrial Information Integration, 2021 - Elsevier
Abstract The Industrial Internet of Things (IIoT) brings value-added services to traditional
devices and has become an important business and technology mode in the industry 4.0 …

The role of emergent technologies in the dynamic and kinematic assessment of human movement in sport and clinical applications

S Edriss, C Romagnoli, L Caprioli, A Zanela… - Applied Sciences, 2024 - mdpi.com
Physical activity analysis assessment has been a concern throughout human history. The
intersection of technological growth with sports has given rise to a burgeoning field known …