human-behavior-modeling

A collection of datasets, papers, and resources for Generalizable Human Activity Recognition and IMU sensing.

This is the code repository for the paper "BenHAR: Benchmarking Self-Supervised Learning for Generalizable Sensor-based Activity Recognition".

Learning human habits with rule-guided active inference: wake–sleep rule learning and active inference for human action prediction. ICLR 2026.

Code and data for the publication "Novelty as a drive of human exploration in complex stochastic environments", PNAS (2025)

Code and data for the publication Xu*, Modirshanechi*, Lehmann, Gerstner, and Herzog, PLOS Computational Biology (2021)

Leveraging Smartphone Human Interaction Routine Behavior Task Mining and Modeling for Daily Stress Monitoring

A small research project quantifying how "human-typical" famous chess grandmasters play using Maia-2.

A web-based simulation of human behavior using distinct agent types (Leaders, Influencers, Rebels, Observers) with evolving emotions. Explore social dynamics by adjusting parameters like influence and rebellion. Features AI-powered analysis via Google Gemini API to interpret collective trends and emotional shifts.

Official implementation of “Adapting Pretrained Large Vision Models for Sensor-based Activity Recognition”

Snapshot and data visualization of preliminary research into human-likeness in decision-making.

Code and data for the article “An integrative framework for the human sense of control”, PsyArXiv. (2025)