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Advances in Contextual Action Recognition: Automatic Cheating Detection Using Machine Learning Techniques

https://doi.org/10.3390/data7090122
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11744023_32openalex-snapshot
SURF: Speeded Up Robust Features
inferredcites →https://doi.org/10.1007/978-3-642-40303-3_18openalex-snapshot
Kitchen Scene Context Based Gesture Recognition: A Contest in ICPR2012
inferredcites →https://doi.org/10.1007/s10639-022-10927-7openalex-snapshot
A systematic review of research on cheating in online exams from 2010 to 2021
inferredcites →https://doi.org/10.1007/s11263-022-01594-9openalex-snapshot
Human Action Recognition and Prediction: A Survey
inferredcites →https://doi.org/10.1007/s43538-022-00069-2openalex-snapshot
Suspicious activity recognition for monitoring cheating in exams
inferredcites →https://doi.org/10.1016/j.imavis.2004.02.006openalex-snapshot
Robust wide-baseline stereo from maximally stable extremal regions
inferredcites →https://doi.org/10.1016/j.matpr.2021.05.490openalex-snapshot
WITHDRAWN: CNN Implementation for Detect Cheating in Online Exams During COVID-19 Pandemic : A CVRU Perspective
inferredcites →https://doi.org/10.1016/j.procs.2015.07.102openalex-snapshot
Analysis on Test Cheating and its Solutions Based on Extenics and Information Technology
inferredcites →https://doi.org/10.1109/72.991427openalex-snapshot
A comparison of methods for multiclass support vector machines
inferredcites →https://doi.org/10.1109/ccdc.2019.8833460openalex-snapshot
The Study on Human Action Recognition with Depth Video for Intelligent Monitoring
inferredcites →https://doi.org/10.1109/cvpr.2013.98openalex-snapshot
HON4D: Histogram of Oriented 4D Normals for Activity Recognition from Depth Sequences
inferredcites →https://doi.org/10.1109/iccv.2011.6126542openalex-snapshot
BRISK: Binary Robust invariant scalable keypoints
inferredcites →https://doi.org/10.1109/icm.2018.8704009openalex-snapshot
Safe Driving : Driver Action Recognition using SURF Keypoints
inferredcites →https://doi.org/10.1109/ithet.2006.339758openalex-snapshot
Computational methods to detect plagiarism in assessment
inferredcites →https://doi.org/10.1109/sais53221.2021.9484044openalex-snapshot
Identifying cheating behaviour with machine learning
inferredcites →https://doi.org/10.1109/tmm.2017.2656064openalex-snapshot
Automated Online Exam Proctoring
inferredcites →https://doi.org/10.1145/3063532openalex-snapshot
V-JAUNE
inferredcites →https://doi.org/10.3390/data6020011openalex-snapshot
The Effect of Preprocessing Techniques, Applied to Numeric Features, on Classification Algorithms’ Performance
inferredcites →https://doi.org/10.3991/ijet.v16i08.15995openalex-snapshot
Detection of Malpractice in E-exams by Head Pose and Gaze Estimation
inferredcites →https://doi.org/10.3991/ijim.v14i15.13563openalex-snapshot
Multimodal Interaction System for Home Appliances Control
inferredcites →https://doi.org/10.3991/ijim.v15i17.25197openalex-snapshot
Leveraging Sensor Fusion and Sensor-Body Position for Activity Recognition for Wearable Mobile Technologies
inferredcites →https://doi.org/10.5194/isprs-archives-xlvi-4-w3-2021-103-2022openalex-snapshot
DEEP LEARNING: NEW APPROACH FOR DETECTING SCHOLAR EXAMS FRAUD
inferredcites →https://doi.org/10.5220/0007392506130620openalex-snapshot
Traffic Sign Classification using Hybrid HOG-SURF Features and Convolutional Neural Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-981-99-7649-2_6openalex-snapshot
Exam Cheating Detection Based on Action Recognition Using Vision Transformer
inferred← citeshttps://doi.org/10.1007/s40979-024-00179-yopenalex-snapshot
Impact of evaluation method shifts on student performance: an analysis of irregular improvement in passing percentages during COVID-19 at an Ecuadorian institution
inferred← citeshttps://doi.org/10.1007/s42979-025-04334-1openalex-snapshot
LSTM-SWAP: A Hybrid Deep Learning Model for Cheating Detection
inferred← citeshttps://doi.org/10.1007/s44217-026-01224-3openalex-snapshot
Ensuring academic integrity through automated online exam proctoring a decade long systematic review
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103289openalex-snapshot
Semantic information guided multimodal skeleton-based action recognition
inferred← citeshttps://doi.org/10.1080/20421338.2026.2696943openalex-snapshot
Deep learning attention-based smart surveillance for automatic exam cheating detection
inferred← citeshttps://doi.org/10.1108/aci-07-2025-0308openalex-snapshot
Deep learning approaches for predicting cheating from student exam results: a comparative study under imbalanced data conditions
inferred← citeshttps://doi.org/10.1109/acdsa67686.2026.11468222openalex-snapshot
Application of a Bayesian Belief of Probability Multivariate Time Series Approach for Detecting Potential Cheating in Handwritten Online Engineering Exams
inferred← citeshttps://doi.org/10.1109/globalaisummit62156.2024.10947934openalex-snapshot
Exam Cheating Classification Using a Deep Learning Approach
inferred← citeshttps://doi.org/10.1109/icnte66387.2026.11437509openalex-snapshot
AI Based Exam Invigilation System
inferred← citeshttps://doi.org/10.1109/rem63063.2024.10735489openalex-snapshot
In-Class Examinations Proctoring System Using YOLO Architecture
inferred← citeshttps://doi.org/10.1109/tim.2025.3550238openalex-snapshot
PACR-DETR: A Real-Time End-to-End Object Detector for Behavior Recognition in Various Classroom Scenarios
inferred← citeshttps://doi.org/10.1111/exsy.70372openalex-snapshot
Mamba‐ SBRNet : Real‐Time Lightweight Student Behaviour Object Detection Model
inferred← citeshttps://doi.org/10.11591/ijeecs.v32.i3.pp1533-1544openalex-snapshot
Exploring the potential of skeleton and machine learning in classroom cheating detection
inferred← citeshttps://doi.org/10.3233/thc-232054openalex-snapshot
Visual analysis and interactive interface design of students’ abnormal behavior introducing clustering algorithm
inferred← citeshttps://doi.org/10.33411/ijist/1048openalex-snapshot
AI-Powered Classification for Cheating Detection in Offline Examinations Using Deep Learning Techniques with CUI Dataset
inferred← citeshttps://doi.org/10.3389/fdata.2026.1817120openalex-snapshot
Cheatomaly: weakly supervised video anomaly ranking for exam cheating detection using vision transformers
inferred← citeshttps://doi.org/10.3390/app15010400openalex-snapshot
Cheating Detection in Online Exams Using Deep Learning and Machine Learning
inferred← citeshttps://doi.org/10.3390/s23084149openalex-snapshot
Student Cheating Detection in Higher Education by Implementing Machine Learning and LSTM Techniques
inferred← citeshttps://doi.org/10.33971/ijmrai.1.2.17openalex-snapshot
Advancements in Automated Cheating Detection Systems for Online and In-Person Examinations: A Comprehensive Review of Methods, Technologies, and Effectiveness
inferred← citeshttps://doi.org/10.36548/jitdw.2023.2.010openalex-snapshot
Automated Invigilation System Using MediaPipe and Haar Cascade Frontal Algorithm
inferred← citeshttps://doi.org/10.4018/979-8-3693-9846-3.ch012openalex-snapshot
YOLO-based CCTV Surveillance Advanced Techniques for Cheating Detection
inferred← citeshttps://doi.org/10.52589/bjcnit-qc5eeljeopenalex-snapshot
Real-Time Detection of Examination Malpractices Using Convolutional Neural Networks and Video Surveillance: A Systematic Review with Meta-Analysis
inferred← citeshttps://doi.org/10.5829/ije.2026.39.01a.04openalex-snapshot
Video Summarization in Detecting Overt Cheating Considering Examinee's Interactions with Scene Objects
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