On the use of deep learning for video classification
The video classification task has gained significant success in the recent years. Specifically,
the topic has gained more attention after the emergence of deep learning models as a …
the topic has gained more attention after the emergence of deep learning models as a …
[HTML][HTML] Deep learning innovations in video classification: A survey on techniques and dataset evaluations
Video classification has achieved remarkable success in recent years, driven by advanced
deep learning models that automatically categorize video content. This paper provides a …
deep learning models that automatically categorize video content. This paper provides a …
A survey on yogic posture recognition
AK Rajendran, SC Sethuraman - IEEE Access, 2023 - ieeexplore.ieee.org
Yoga has been a great form of physical activity and one of the promising applications in
personal health care. Several studies prove that yoga is used as one of the physical …
personal health care. Several studies prove that yoga is used as one of the physical …
HIT HAR: human image threshing machine for human activity recognition using deep learning models
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 …
healthcare systems. The accurate activity classification results from the HAR enhance the …
Data filtering and deep learning for enhanced human activity recognition from UWB radars
Human activity recognition (HAR) is among the most popular research topics. Indeed,
recognizing human activities can help provide appropriate assistance to older adults and …
recognizing human activities can help provide appropriate assistance to older adults and …
Transformer-based spatial–temporal detection of apoptotic cell death in live-cell imaging
Intravital microscopy has revolutionized live-cell imaging by allowing the study of spatial–
temporal cell dynamics in living animals. However, the complexity of the data generated by …
temporal cell dynamics in living animals. However, the complexity of the data generated by …
Filtering data bins of UWB radars for activity recognition with random forest
T Imbeault-Nepton, J Maitre, K Bouchard… - Procedia Computer …, 2022 - Elsevier
The world's population is rapidly aging, leading to an increase in the number of people who
need care and a reduction in the number of potential workers who can give that care. Hence …
need care and a reduction in the number of potential workers who can give that care. Hence …
Outdoor activity classification using smartphone based inertial sensor measurements
Abstract Human Activity Recognition (HAR) deals with the automatic recognition of physical
activities and plays a crucial role in healthcare and sports where wearable sensors and …
activities and plays a crucial role in healthcare and sports where wearable sensors and …
Activity recognition based on smartphone sensor data using shallow and deep learning techniques: A Comparative Study
Human activity recognition by the use of smartphone-equipped sensors has gotten a lot of
interest in current times because of its large variety of applications. In this regard, this study …
interest in current times because of its large variety of applications. In this regard, this study …
An Interpretable Deep Learning-based Feature Reduction in Video-Based Human Activity Recognition
This paper presents a human activity recognition framework tailored for healthcare
applications, emphasizing the essential balance between accuracy and interpretability …
applications, emphasizing the essential balance between accuracy and interpretability …