Human activity recognition: Review, taxonomy and open challenges

MH Arshad, M Bilal, A Gani - Sensors, 2022 - mdpi.com
Nowadays, Human Activity Recognition (HAR) is being widely used in a variety of domains,
and vision and sensor-based data enable cutting-edge technologies to detect, recognize …

Integrated sensing and communications: Recent advances and ten open challenges

S Lu, F Liu, Y Li, K Zhang, H Huang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
It is anticipated that integrated sensing and communications (ISACs) would be one of the
key enablers of next-generation wireless networks (such as beyond 5G (B5G) and 6G) for …

Human activity recognition using marine predators algorithm with deep learning

AM Helmi, MAA Al-qaness, A Dahou… - Future Generation …, 2023 - Elsevier
In the era of smart life, tracking human activities and motion can play a significant role in the
advanced modern applications, such as the Internet of things (IoT), Internet of healthcare …

Radar-camera fusion for object detection and semantic segmentation in autonomous driving: A comprehensive review

S Yao, R Guan, X Huang, Z Li, X Sha… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Driven by deep learning techniques, perception technology in autonomous driving has
developed rapidly in recent years, enabling vehicles to accurately detect and interpret …

[HTML][HTML] Deep learning and transfer learning for device-free human activity recognition: A survey

J Yang, Y Xu, H Cao, H Zou, L Xie - Journal of Automation and Intelligence, 2022 - Elsevier
Device-free activity recognition plays a crucial role in smart building, security, and human–
computer interaction, which shows its strength in its convenience and cost-efficiency …

Human activity recognition in cyber-physical systems using optimized machine learning techniques

I Priyadarshini, R Sharma, D Bhatt, M Al-Numay - Cluster Computing, 2023 - Springer
Abstract Human Activity Recognition (HAR) is an active research topic as it finds use in
many real-world applications such as health monitoring and biometric user identification …

Multi-modal cross-domain alignment network for video moment retrieval

X Fang, D Liu, P Zhou, Y Hu - IEEE Transactions on Multimedia, 2022 - ieeexplore.ieee.org
As an increasingly popular task in multimedia information retrieval, video moment retrieval
(VMR) aims to localize the target moment from an untrimmed video according to a given …

Machine learning for healthcare radars: Recent progresses in human vital sign measurement and activity recognition

S Ahmed, SH Cho - IEEE Communications Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The unprecedented non-contact, non-invasive, and privacy-preserving nature of radar
sensors has enabled various healthcare applications, including vital sign monitoring, fall …

Deep ensemble learning for human activity recognition using wearable sensors via filter activation

W Huang, L Zhang, S Wang, H Wu… - ACM Transactions on …, 2022 - dl.acm.org
During the past decade, human activity recognition (HAR) using wearable sensors has
become a new research hot spot due to its extensive use in various application domains …

Distributional and spatial-temporal robust representation learning for transportation activity recognition

J Liu, Y Liu, W Zhu, X Zhu, L Song - Pattern Recognition, 2023 - Elsevier
Transportation activity recognition (TAR) provides valuable support for intelligent
transportation applications, such as urban transportation planning, driving behavior …