Human activity recognition: Review, taxonomy and open challenges
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 …
and vision and sensor-based data enable cutting-edge technologies to detect, recognize …
Integrated sensing and communications: Recent advances and ten open challenges
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 …
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
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 …
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
Driven by deep learning techniques, perception technology in autonomous driving has
developed rapidly in recent years, enabling vehicles to accurately detect and interpret …
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
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 …
computer interaction, which shows its strength in its convenience and cost-efficiency …
Human activity recognition in cyber-physical systems using optimized machine learning techniques
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 …
many real-world applications such as health monitoring and biometric user identification …
Multi-modal cross-domain alignment network for video moment retrieval
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 …
(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
The unprecedented non-contact, non-invasive, and privacy-preserving nature of radar
sensors has enabled various healthcare applications, including vital sign monitoring, fall …
sensors has enabled various healthcare applications, including vital sign monitoring, fall …
Deep ensemble learning for human activity recognition using wearable sensors via filter activation
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 …
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
Transportation activity recognition (TAR) provides valuable support for intelligent
transportation applications, such as urban transportation planning, driving behavior …
transportation applications, such as urban transportation planning, driving behavior …