Senior Design: Anit-Cheat Detection system

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"Measure Learning":

• Client Side Application
• Server Side Streaming
• UDP style streaming capabilites
• Camara Processing Capabilities
• Multithreading
• MIT / Free Licencing

Behaviors:

• Bluetooch Monitoring
• Video Streaming
• Mouse Analysis
• Feature Analysis
• Privacy Concerns (FIPPA)

Frameworks Ideas:

• Flask
• React
• .NET MAUI

Analysis/Training Methods:

Scope: Monitoring features to begin with, and AI enhancements to further the focus of the models and feature. Increase accurcy and integrityare of the utmost concern.

Market Research:

• SSV
• OpenCV
• FaceNet
• Deepface
• PyGaze
  • this will allow for naive tracking, and will work on a computer that does not have a eyetracker
• OGAMA
• Tobii
• Gaze Recorder
• Arsfutura
• FFMPEG
• EthoVision XT
• Pupil
• RasterVision

Systematic Possiblities:

1. CNN-based image recognition for topology optimization 2. Support Vector Machine (SVM) for Anomaly Detection

Medium Articles:

1. A FaceNet-Style Approach to Facial Recognition on the Google Coral Development board

Datasets:

1. One-dimensional CNN for human behavior classification 2. Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions