Egocentric Living Room & Bedroom — USA (34 Hours)
Egocentric & First-Person Data
Tags and Keywords

£120
About
This SAMPLE listing showcases egocentric (first-person) video data captured across natural residential living room and bedroom environments in the USA. The dataset features casual indoor behaviors such as reading, resting, smartphone interaction, and wardrobe management. 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/chest-mounted) video capturing natural residential living room and bedroom tasks
- Casual indoor behaviors including reading, resting, and smartphone interaction
- Wardrobe management and everyday routine sequences
- Metadata: activity labels, environment tags, session identifiers
Distribution
- Format: Video files (MP4)
- Data Volume: 34 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 residential environment monitoring tasks
- Human Activity Recognition: Modeling casual indoor and leisure behavior patterns
- AR/VR Applications: Building immersive smart-home lifestyle training experiences
- AI Training: Fine-tuning large multimodal models on real-world first-person residential data
Coverage
- Geographic Coverage: United States (residential living rooms and bedrooms)
- Time Range: Recent multi-session capture (2025-2026)
- Demographics: Adults performing everyday casual indoor activities
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 residential data.
- Researchers: For academic or scientific studies in human activity recognition.
- Businesses: For smart-home and lifestyle 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_LIVINGROOM_0001 |
| timestamp | Datetime | Frame/segment timestamp | ISO 8601 format |
| activity_label | String | Annotated activity being performed | Reading, Resting, Smartphone Use, Wardrobe Management |
| camera_type | String | Type of camera used | Head-mounted, Chest-mounted |
| resolution | String | Video resolution | 1080p, 4K |
| imu_data | JSON | Synchronized motion sensor readings | Accelerometer, Gyroscope |
Listing Stats
VIEWS
5
DELIVERY
CUSTOM, S3
LISTED
12/09/2026
UPDATED
18/09/2026
REGION
NORTH AMERICA
TRUST
5 / 5
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£120
Download Dataset in VIDEO Format
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