38K+ Hours IMU Egocentric Video Dataset
Generative AI & Computer Vision
Tags and Keywords
£425,700
About
38K+ Hours IMU Egocentric Video Dataset
Description
The 38K+ Hours IMU Egocentric Video Dataset is a large-scale multimodal dataset comprising first-person (egocentric) videos synchronized with Inertial Measurement Unit (IMU) sensor data. Captured using wearable devices equipped with cameras and IMU sensors, the dataset records real-world human movements, body dynamics, and environmental interactions across diverse activities and environments.
Designed for AI, computer vision, robotics, wearable computing, embodied AI, sensor fusion, and human activity recognition (HAR), this dataset enables the development of intelligent systems capable of understanding human motion, predicting actions, improving navigation, and enhancing multimodal perception. It is suitable for training, fine-tuning, and benchmarking advanced machine learning, deep learning, and multimodal AI models.
Note: Pricing varies depending on several factors, including the total video hours, video quality and resolution, metadata availability, annotation requirements, number of attributes, and customization needs. The final price will be determined based on the specific dataset requirements.
Data Product Features
| Feature | Description |
|---|---|
| File Format | Video and sensor file formats (e.g., MP4, CSV, JSON). |
| Video Duration | Total duration of each recording. |
| Frame Rate (FPS) | Number of video frames captured per second. |
| Camera Perspective | First-person (egocentric) viewpoint recorded using a wearable camera. |
| Accelerometer Data | Three-axis acceleration measurements (X, Y, Z). |
| Gyroscope Data | Three-axis angular velocity measurements (X, Y, Z). |
| Activity Category | Human activity performed during recording. |
| Motion Type | Walking, running, sitting, lifting, etc. |
| Environment Type | Indoor, outdoor, office, home, public spaces, etc. |
| Sensor Sampling Rate | Frequency of IMU data collection (Hz). |
Distribution
- Video Format: MP4
- Sensor Formats: CSV, JSON
Data Volume
- Video Duration: 38K+ Hours
- Media Type: Egocentric videos synchronized with IMU sensor recordings
- Dataset Size: The dataset size may vary depending on video resolution, duration, frame rate, file formats, compression quality, metadata availability, annotations, and dataset version.
Usage
This data product is ideal for a variety of AI and multimodal learning applications:
- Human Activity Recognition (HAR): Train AI models to recognize human activities using synchronized video and IMU data.
- Sensor Fusion: Develop multimodal AI systems combining vision and inertial sensor information.
- Motion Analysis: Analyze body movement and locomotion patterns.
- Embodied AI: Train intelligent agents capable of understanding first-person human behavior.
- Robotics: Improve robot perception, navigation, and human-robot collaboration.
- Wearable AI: Develop smart wearable applications for activity monitoring.
- Visual-Inertial Navigation: Build navigation and localization systems using synchronized camera and IMU data.
- Behavior Analysis: Understand real-world human interactions and movement.
- Gesture Recognition: Train models for gesture and motion understanding.
- Healthcare & Rehabilitation: Support movement analysis, rehabilitation monitoring, and assistive technologies.
Coverage
The dataset provides comprehensive coverage of real-world activities captured using wearable camera and IMU systems.
- Geographic Coverage: Global
License
CC BY 4.0 (Creative Commons Attribution 4.0 International)
AI Training Rights
InfoBay.AI ensures that all datasets are sourced, curated, and managed with proper ownership verification, licensing documentation, and data provenance records. We hold the necessary rights to license and sublicense the datasets we provide through formal agreements with our data vendors, which grant us the required permissions for commercial licensing and AI training use cases. To ensure transparency and compliance, we maintain relevant documentation and have previously shared redacted agreements for selected datasets as evidence of our data rights and licensing authority.
Data Dictionary
| Column Name | Data Type | Description | Possible Values/Notes |
|---|---|---|---|
| File_Format | String | Video and sensor file formats | MP4, CSV, JSON |
| Video_Duration | Float | Duration of the recording | Minutes or Hours |
| Frame_Rate | Integer | Video frame rate | 24, 30, 60 FPS |
| Camera_Perspective | String | Recording viewpoint | First-Person / Egocentric |
| Accelerometer_X | Float | X-axis acceleration | m/s² |
| Accelerometer_Y | Float | Y-axis acceleration | m/s² |
| Accelerometer_Z | Float | Z-axis acceleration | m/s² |
| Gyroscope_X | Float | X-axis angular velocity | Degrees/s or rad/s |
| Gyroscope_Y | Float | Y-axis angular velocity | Degrees/s or rad/s |
| Gyroscope_Z | Float | Z-axis angular velocity | Degrees/s or rad/s |
| Activity_Category | String | Human activity performed | Walking, Running, Sitting, Cycling, Climbing, etc. |
| Motion_Type | String | Type of movement | Static, Dynamic, Transitional |
| Environment_Type | String | Recording environment | Indoor, Outdoor, Office, Home, Industrial, Public |
Considerations
This dataset is provided for research and educational purposes only. It contains only sample data.
TRUSTLoading...
£425,700
Download Dataset in VIDEO Format
Recommended Datasets
Loading recommendations...