Human action recognition from various data modalities: A review
Human Action Recognition (HAR) aims to understand human behavior and assign a label to
each action. It has a wide range of applications, and therefore has been attracting increasing …
each action. It has a wide range of applications, and therefore has been attracting increasing …
A methodological and structural review of hand gesture recognition across diverse data modalities
Researchers have been develo** Hand Gesture Recognition (HGR) systems to enhance
natural, efficient, and authentic human-computer interaction, especially benefiting those who …
natural, efficient, and authentic human-computer interaction, especially benefiting those who …
Transformers in action recognition: A review on temporal modeling
E Shabaninia, H Nezamabadi-pour… - arxiv preprint arxiv …, 2022 - arxiv.org
In vision-based action recognition, spatio-temporal features from different modalities are
used for recognizing activities. Temporal modeling is a long challenge of action recognition …
used for recognizing activities. Temporal modeling is a long challenge of action recognition …
Fusion mechanisms for human activity recognition using automated machine learning
AC Popescu, I Mocanu, B Cramariuc - IEEE Access, 2020 - ieeexplore.ieee.org
Human activity recognition has been a branch of interest in the field of computer vision for
decades, due to its numerous applications in different domains, such as medicine …
decades, due to its numerous applications in different domains, such as medicine …
A comparative analysis of decision-level fusion for multimodal driver behaviour understanding
Visual recognition inside the vehicle cabin leads to safer driving and more intuitive human-
vehicle interaction but such systems face substantial obstacles as they need to capture …
vehicle interaction but such systems face substantial obstacles as they need to capture …
Deciphering Optimal Radar Ensemble for Advancing Sleep Posture Prediction through Multiview Convolutional Neural Network (MVCNN) Approach Using Spatial …
DKH Lai, AYC Tam, BPH So, ACH Chan… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
Assessing sleep posture, a critical component in sleep tests, is crucial for understanding an
individual's sleep quality and identifying potential sleep disorders. However, monitoring …
individual's sleep quality and identifying potential sleep disorders. However, monitoring …
Multimodal human action recognition based on spatio-temporal action representation recognition model
Q Wu, Q Huang, X Li - Multimedia Tools and Applications, 2023 - Springer
Human action recognition methods based on single-modal data lack adequate information.
It is necessary to propose the methods based on multimodal data and the fusion algorithms …
It is necessary to propose the methods based on multimodal data and the fusion algorithms …
[HTML][HTML] WISNet: A deep neural network based human activity recognition system
Abstract Nowadays, Human Activity Recognition (HAR) is a key research area with many
ubiquitous innovative solutions, where both accelerometer and gyroscope data provide …
ubiquitous innovative solutions, where both accelerometer and gyroscope data provide …
Modselect: Automatic modality selection for synthetic-to-real domain generalization
Modality selection is an important step when designing multimodal systems, especially in
the case of cross-domain activity recognition as certain modalities are more robust to …
the case of cross-domain activity recognition as certain modalities are more robust to …
Vision-based multi-modal framework for action recognition
BD Romaissa, O Mourad… - 2020 25th International …, 2021 - ieeexplore.ieee.org
Human activity recognition plays a central role in the development of intelligent systems for
video surveillance, public security, health care and home monitoring, where detection and …
video surveillance, public security, health care and home monitoring, where detection and …