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Asia Egocentric Dataset with IMU Data
IMU & Proprioception Data
Tags and Keywords
£155,771
About
The Asia Residential Egocentric Dataset with IMU is a large-scale multimodal dataset consisting of first-person video recordings synchronized with Inertial Measurement Unit (IMU) sensor data. The data was collected in residential environments across Asia using a GoPro or equivalent device. Videos are recorded at 720p with 30/60 FPS using H.264/H.265 encoding and include synchronized audio. The dataset is designed for robotics, visual-inertial odometry, sensor fusion, SLAM, embodied AI, navigation, and machine learning research.
Data Product Features
| Feature | Description |
|---|---|
| Environment | Residential |
| Data Type | Egocentric Video with IMU |
| Region | Asia |
| Camera | GoPro or equivalent |
| Sensors | IMU (Accelerometer and Gyroscope) |
| Resolution | 720p |
| Frame Rate | 30 FPS / 60 FPS |
| Video Codec | H.264 / H.265 |
| Audio | Yes |
| Motion Level | Low to Medium |
| Recording Style | First-person synchronized visual and inertial data |
Distribution
Format
- MP4 video files
- Time-synchronized IMU sensor files (e.g., CSV or JSON, where applicable)
Encoding
- H.264 / H.265
Structure
- Folder-based organization containing synchronized video and IMU recordings.
Data Volume
- Approximate Duration: 800 hours
- Approximate Storage Size: 5.6 TB (≈5,600 GB)
- Approximate Records: 10,000 synchronized recordings
Usage
This dataset is ideal for a variety of applications:
- Visual-Inertial Odometry (VIO): Training and evaluating VIO algorithms.
- Sensor Fusion: Combining camera and IMU data for robust perception.
- SLAM: Simultaneous Localization and Mapping.
- Robot Navigation: Indoor localization and autonomous navigation.
- Embodied AI: Training multimodal embodied intelligence models.
- Computer Vision: Egocentric perception and scene understanding.
- Machine Learning: Training multimodal AI and robotics models.
- Academic Research: Robotics, autonomous systems, and computer vision research.
Coverage
Geographic Coverage
Asia
Time Range
- Start Date: Not specified
- End Date: Not specified
Demographics
- Adults (where applicable)
- Mixed gender participants
- Residential indoor environments
- Everyday activities captured from a first-person perspective
License
CC0 (Creative Commons Zero)
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, feature representations, etc.) for any lawful purpose.
Restrictions
- The Data Product itself may not be sold, redistributed, or shared as a standalone dataset outside of licensed usage.
- Users must comply with all applicable privacy, data protection, and intellectual property laws.
Who Can Use It
- Data Scientists: Train multimodal AI, robotics, and sensor fusion models.
- Researchers: Conduct research in visual-inertial perception, robotics, and embodied AI.
- Robotics Engineers: Develop navigation, localization, and autonomous systems.
- Businesses: Build AI-powered robotics, wearable devices, and autonomous applications.
- Universities: Support education, benchmarking, and robotics research.
Data Dictionary
| Column Name | Data Type | Description | Possible Values/Notes |
|---|---|---|---|
| Recording_ID | String | Unique identifier for each recording | Unique value |
| Video_File | Video | Egocentric video recording | MP4 |
| IMU_File | Sensor Data | Synchronized IMU measurements | CSV/JSON (if applicable) |
| Accelerometer | Float Array | Three-axis acceleration values | X, Y, Z |
| Gyroscope | Float Array | Three-axis angular velocity values | X, Y, Z |
| Environment | String | Recording environment | Residential |
| Region | String | Geographic region | Asia |
| Camera_Device | String | Recording device | GoPro or equivalent |
| Resolution | String | Video resolution | 720p |
| Frame_Rate | Integer | Recording frame rate | 30 or 60 FPS |
| Video_Codec | String | Video compression codec | H.264, H.265 |
| Audio | Boolean | Audio availability | Yes |
| Motion_Level | String | Motion intensity | Low to Medium |
| Timestamp | DateTime | Synchronized recording timestamp | If available |
| Duration | Float | Recording duration | Seconds or minutes |
Additional Notes
- Captured using a GoPro or equivalent camera with synchronized IMU data.
- Includes both video and inertial measurements for multimodal learning.
- Suitable for visual-inertial odometry (VIO), SLAM, localization, navigation, robotics, and embodied AI.
- Videos are encoded using H.264/H.265 at 720p with 30/60 FPS.
- Audio is included.
- Intended for both academic research and commercial AI development under the CC0 license.
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£155,771
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