Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction
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Updated
Dec 8, 2022 - Jupyter Notebook
Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction
The most realistic keyboard typing simulator based on Markov Chains. Models authentic human behavior (errors, corrections, fatigue, speed variations) for Playwright and Selenium automation.
A deep exploration of how human psychology shapes fraud behavior and how those patterns become measurable signals in transaction data. This article reveals the behavioral, cognitive, and economic forces behind fraud, explaining how ML models detect deviations, anomalies, and intent hidden within financial transactions.
Create and run interactive behavioral experiments on the web, including VR studies, for free!
Using TensorFlow to win 65 time more in the French lottery. A TensorFlow 2.0 tutorial with some nice combinatorics and a get-rich-quick click-bait title
Agent-drivable Patchright browser daemon with a persistent Chrome profile AND a built-in human-behavior layer (realistic mouse paths, keystroke cadence, scroll physics). Gives AI coding agents a real browser they can steer with one-shot CLI calls.
Code for our PRICAI 2022 paper: "Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior".
Human-mimicking browser automation framework for autonomous agents. Survives Cloudflare, LinkedIn, Amazon anti-bot systems.
🧬 Peak Human Authenticity Achievement Engine - 27 distinct behavioral patterns for 98%+ AI detection resistance
A civic-satire systems-thinking standard for separating observation from explanation, inspecting hidden mechanisms, and removing the panel before assigning blame.
Real-time video surveillance system with AI-powered human behavior analysis and pose detection
An Android app for mobile sensing research
A conceptual architecture bridging neuroscience, psychology, and evolutionary biology
Material for the Moral Dynamics project -- a computational model of moral judgment by Felix Sosa, Tomer Ullman, Josh Tenenbaum, Sam Gershman, and Tobias Gerstenberg. A standing manuscript can be found here: www.mit.edu/~fsosa/papers/md.pdf
Passenger Behavior Recognition Dataset
R for Researchers: An Introduction
Code and data for the article “An integrative framework for the human sense of control”, PsyArXiv. (2025)
Tensorflow Human Behavior Prediction Engine
Code for the paper "Charting multidimensional ideological polarization across demographic groups in the United States". Authors: J. Ojer, D. Cárcamo, R. Pastor-Satorras, and M. Starnini.
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