Egocentric Meal Prep Eye-Tracking — USA (28 Hours)
Egocentric & First-Person Data
Tags and Keywords

£100
About
This SAMPLE listing showcases egocentric (first-person) video data with high-fidelity eye-tracking captured during meal preparation tasks in the USA. The dataset features gaze-guided fixation metrics during intricate ingredient slicing, stove-top cooking, and culinary plate design. A sample link to view a portion of the full dataset is provided in the attached Sample Data File.
Data Product Features
- First-person (head-mounted) video with high-fidelity eye-tracking capturing meal preparation tasks
- Gaze-guided fixation metrics during ingredient slicing and stove-top cooking
- Culinary plate design and presentation sequences
- Metadata: activity labels, environment tags, session identifiers
Distribution
- Format: Video files (MP4)
- Data Volume: 28 hours of footage across multiple recording sessions
- Delivery: Custom delivery (cloud storage transfer upon purchase)
Usage
This data product is ideal for a variety of applications:
- Robotics Perception: Training egocentric vision models for gaze-guided cooking task monitoring
- Human Activity Recognition: Modeling fixation and attention behavior patterns during food preparation
- AR/VR Applications: Building immersive culinary training experiences
- AI Training: Fine-tuning large multimodal models on real-world first-person gaze data
Coverage
- Geographic Coverage: United States (residential and commercial kitchens)
- Time Range: Recent multi-session capture (2025-2026)
- Demographics: Adults performing meal preparation and cooking tasks
License
Proprietary
AI Training Rights
Licensee is granted a non-exclusive, worldwide, and perpetual right to:
- Use the Data Product to train, fine-tune, and evaluate machine learning models, including large language models.
- Incorporate Data Product content into models and commercialize resulting model outputs.
- Create derivative works (model weights, embeddings, etc.) for any lawful purpose.
Restrictions:
- The Data Product itself may not be sold, redistributed, or shared outside of licensed usage.
- Licensee must comply with all applicable laws, including data protection and privacy regulations.
Who Can Use It
- Data Scientists: For training machine learning models on egocentric gaze/eye-tracking data.
- Researchers: For academic or scientific studies in attention and fixation analysis.
- Businesses: For culinary product analytics, AI development, and process optimization.
Data Dictionary
| Column Name | Data Type | Description | Possible Values/Notes |
|---|---|---|---|
| session_id | String | Unique identifier for a recording session | e.g. US_MEALPREP_EYE_0001 |
| timestamp | Datetime | Frame/segment timestamp | ISO 8601 format |
| activity_label | String | Annotated activity being performed | Slicing, Stove-top Cooking, Plate Design |
| camera_type | String | Type of camera used | High-Res 4K Eye-Tracking Cam |
| resolution | String | Video resolution | 1080p, 4K |
| gaze_data | JSON | Synchronized eye-tracking fixation data | Fixation coordinates, duration, saccades |
Listing Stats
VIEWS
2
DELIVERY
CUSTOM, S3
LISTED
12/09/2026
UPDATED
18/09/2026
REGION
NORTH AMERICA
TRUST
5 / 5
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£100
Download Dataset in VIDEO Format
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