This repository contains a collection of curated sample datasets related to Human-Computer Interaction (HCI), intended for educational use. The datasets are designed to help students explore, analyze, and build projects around real-world signals captured from humans during interaction with systems.
- Eye-Tracking Data – Gaze coordinates, fixations, and surface mappings
- Brain Activity (Emotiv) – EEG signals, cognitive/emotional state estimates
- Physiological Signals – Heart rate, EDA, or other biometric indicators (coming soon)
- Interaction Logs – Mouse movements, clicks, and other user input traces (coming soon)
These datasets are ideal for:
- Classroom demonstrations
- Data analysis exercises
- Training models for affective computing or HCI experiments
- Rapid prototyping of user-aware applications