Dynamic hand gesture recognition for smart lifecare routines via K-Ary tree hashing classifier
H Ansar, A Ksibi, A Jalal, M Shorfuzzaman… - Applied Sciences, 2022 - mdpi.com
Featured Application The proposed system is an image processing module that monitors,
tracks, and recognizes hand gestures and has been evaluated over publicly available …
tracks, and recognizes hand gestures and has been evaluated over publicly available …
Abnormal action recognition in crowd scenes via deep data mining and random forest
I Akhter, A Jalal - 2023 4th International Conference on …, 2023 - ieeexplore.ieee.org
Human activities that deviate from the norm are deemed abnormal, and such individuals are
referred to as anomalous objects. Employing visual data to detect abnormal behaviour is a …
referred to as anomalous objects. Employing visual data to detect abnormal behaviour is a …
Multi-channels prototype contrastive learning with condition adversarial attacks for few-shot event detection
F Zhang, S Tian, L Yu, Q Yang - Neural Processing Letters, 2024 - Springer
Abstract Few-shot Event Detection (FSED) is a sub-task of Event Detection that aims to
accurately identify event types with limited training instances and enable smooth transfer to …
accurately identify event types with limited training instances and enable smooth transfer to …
[PDF][PDF] Human verification over activity analysis via deep data mining
K Abhishek, SB ud din Tahir - Computers, Materials & Continua, 2023 - academia.edu
Human verification and activity analysis (HVAA) are primarily employed to observe, track,
and monitor human motion patterns using redgreen-blue (RGB) images and videos …
and monitor human motion patterns using redgreen-blue (RGB) images and videos …
[PDF][PDF] Research on medical data security sharing scheme based on homomorphic encryption
L Guo, W Gao, Y Cao, X Lai - Math. Biosci. Eng., 2023 - aimspress.com
With the deep integration of “AI+ medicine”, AI-assisted technology has been of great help to
human beings in the medical field, especially in the area of predicting and diagnosing …
human beings in the medical field, especially in the area of predicting and diagnosing …
[HTML][HTML] Postures anomaly tracking and prediction learning model over crowd data analytics
Innovative technology and improvements in intelligent machinery, transportation facilities,
emergency systems, and educational services define the modern era. It is difficult to …
emergency systems, and educational services define the modern era. It is difficult to …
Human Event Recognition in Smart Classrooms Using Computer Vision: A Systematic Literature Review
ML Córdoba-Tlaxcalteco… - … and Computer Software, 2023 - Springer
The field of human event recognition using visual data in smart environments has emerged
as a fruitful and successful area of study, with extensive research and development efforts …
as a fruitful and successful area of study, with extensive research and development efforts …
Fundamental recognition of ADL assessments using machine learning engineering
This paper describes an RGBD (Red Green Blue Depth) image daily life activity
identification system that can monitor and detect human activities without the need of optical …
identification system that can monitor and detect human activities without the need of optical …
A2SN: attention based two stream network for sports video classification
In this digital age, 3D data interpretation has emerged as a significant research area in
which videos are the most extensively utilized electronic medium for data transfer. The …
which videos are the most extensively utilized electronic medium for data transfer. The …
Early-stage cervical cancerous cell detection from cervix images using yolov5
Cervical Cancer (CC) is a rapidly growing disease among women throughout the world,
especially in developed and developing countries. For this many women have died …
especially in developed and developing countries. For this many women have died …