eye-tracking-analysis
CommunityTurn raw gaze into fixations, AOIs, and insights
Education & Research#psychology#heatmap#eye tracking#fixation detection#AOI dwell time#scanpath similarity#pupillometry
Authorxjtulyc
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps researchers transform noisy eye-tracking recordings into interpretable visual-attention measures such as fixations, AOI dwell, scanpath similarity, heatmaps, and event-locked pupillometry.
Core Features & Use Cases
- Blink removal + interpolation + baseline correction for cleaner pupillometry signals
- IVT fixation detection to convert gaze samples into fixation events
- AOI assignment + per-AOI metrics (first latency, dwell time, fixation counts, proportion dwell) plus scanpath similarity
- Fixation heatmap generation using Gaussian KDE for visual attention mapping
Quick Start
Provide your gaze dataset with timestamps, x/y gaze coordinates, and pupil diameter, then ask an AI to run blink interpolation, detect IVT fixations, assign AOIs, compute dwell and scanpath similarity, and produce a fixation heatmap and event-locked baseline-corrected pupillometry output.
Dependency Matrix
Required Modules
pandasnumpyscipymatplotlibsklearnshapely
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: eye-tracking-analysis Download link: https://github.com/xjtulyc/awesome-rosetta-skills/archive/main.zip#eye-tracking-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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