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 …

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 …

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 …

[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 …

[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 …

[HTML][HTML] Postures anomaly tracking and prediction learning model over crowd data analytics

H Aljuaid, I Akhter, N Alsufyani, M Shorfuzzaman… - PeerJ Computer …, 2023 - peerj.com
Innovative technology and improvements in intelligent machinery, transportation facilities,
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 …

Fundamental recognition of ADL assessments using machine learning engineering

M Batool, M Javeed - 2022 19th International Bhurban …, 2022 - ieeexplore.ieee.org
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 …

A2SN: attention based two stream network for sports video classification

A Ray, N Aslam, MH Kolekar - Multimedia Tools and Applications, 2024 - Springer
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 …

Early-stage cervical cancerous cell detection from cervix images using yolov5

MZH Ontor, MM Ali, K Ahmed, FM Bui… - Computers …, 2023 - researchers.cdu.edu.au
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 …