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Optical Glove Data – Asia (Custom Collection)
Sensor & IoT Readings
Tags and Keywords
£42,738
About
The Asia Residential & Commercial Optical Glove Dataset is a multimodal dataset collected across residential and commercial environments in Asia using an optical glove system and a GoPro or equivalent camera. The dataset contains synchronized hand motion, finger pose, and gesture data together with high-resolution first-person video recorded in 4K and 1080p at 30/60 FPS using H.264/H.265 encoding. Audio is included. It is designed for robotics, dexterous manipulation, hand pose estimation, imitation learning, human–robot interaction, and embodied AI research.
Data Product Features
| Feature | Description |
|---|---|
| Environment | Residential & Commercial |
| Data Type | Optical Glove Data |
| Region | Asia |
| Camera | GoPro or equivalent |
| Sensor | Optical Glove |
| Resolution | 4K / 1080p |
| Frame Rate | 30 FPS / 60 FPS |
| Video Codec | H.264 / H.265 |
| Audio | Yes |
| Motion Level | High |
| Recording Style | Synchronized hand motion and first-person video |
Distribution
Format
- MP4 video files
- Optical glove sensor files (CSV, JSON, or equivalent)
Encoding
- H.264 / H.265
Structure
- Organized into folders containing synchronized video recordings and optical glove sensor data.
Data Volume
- Availability: Custom Collection Only
- Duration: Custom Collection
- Storage Size: Custom Collection
- Records: Custom Collection
Usage
This dataset is ideal for a variety of applications:
- Hand Pose Estimation: Train and evaluate hand tracking models.
- Gesture Recognition: Develop gesture understanding systems.
- Robot Manipulation: Learn dexterous manipulation from human demonstrations.
- Imitation Learning: Train robots using human hand motion data.
- Human–Robot Interaction: Improve natural interaction between humans and robots.
- Embodied AI: Train multimodal AI systems using synchronized vision and hand movement data.
- Academic Research: Robotics, wearable sensing, 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 environments
- Commercial environments
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 outside of licensed usage.
- Licensee must comply with all applicable laws, including data protection and privacy regulations.
Who Can Use It
- Data Scientists: Train multimodal AI and robotics models.
- Researchers: Conduct research in hand tracking, robotics, and wearable sensing.
- Businesses: Develop AI-powered gesture recognition, robotics, and automation solutions.
- Robotics Engineers: Build robotic manipulation and human–robot interaction systems.
- Universities: Support robotics, computer vision, and embodied AI research.
Data Dictionary
| Column Name | Data Type | Description | Possible Values/Notes |
|---|---|---|---|
| Recording_ID | String | Unique identifier for each recording | Unique value |
| Video_File | Video | First-person video recording | MP4 |
| Optical_Glove_Data | Sensor Data | Optical glove measurements | Time-synchronized |
| Hand_Pose | Sensor Data | Hand and finger joint positions | Multi-joint pose data |
| Gesture_Label | String | Gesture or action label | Task dependent |
| Environment | String | Recording environment | Residential, Commercial |
| Region | String | Geographic region | Asia |
| Camera_Device | String | Recording device | GoPro or equivalent |
| Resolution | String | Video resolution | 4K, 1080p |
| 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 | High |
| Timestamp | DateTime | Recording timestamp | If available |
| Duration | Float | Recording duration | Seconds or minutes |
Additional Notes
- Collected across residential and commercial environments in Asia.
- Combines synchronized optical glove data with high-quality first-person video.
- Recorded using a GoPro or equivalent camera in 4K and 1080p at 30/60 FPS using H.264/H.265 encoding.
- Audio is included to support multimodal research.
- Available through custom collection rather than instant download.
- Suitable for robotics, hand pose estimation, gesture recognition, dexterous manipulation, imitation learning, human–robot interaction, and embodied AI.
- Released under the CC0 license for research and commercial AI applications.
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£42,738
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