| --- |
| tags: |
| - Behavior Recognition |
| - Trajectory Prediction |
| - Intrusion Detection |
| - Smart Home |
| - Security Monitoring |
| - Behavior Analysis |
| license: cc-by-nc-sa-4.0 |
| task_categories: |
| - time-series-forecasting |
| language: |
| - en |
| pretty_name: Family Member Entry/Exit and Visitor Behavior Tracking Dataset |
| size_categories: |
| - 1B<n<10B |
| --- |
| |
| # Family Member Entry/Exit and Visitor Behavior Tracking Dataset |
|
|
| The advantage of this dataset lies in its high data quality in terms of precision and consistency, with an annotation accuracy of over 95%. Advanced trajectory smoothing techniques are employed to make the data more accurate. This results in a noticeable improvement of 20% in intrusion detection accuracy during application, and showcases more than a 15% accuracy advantage compared to peer datasets. Its unique feature is the lightweight and non-invasive data collection method, making it suitable for various household environments. These characteristics ensure the dataset's scalability and broad applicability in other smart home systems, effectively meeting the needs of different household layouts and behavior pattern recognition requirements. |
|
|
| ## Technical Specifications |
|
|
| | Field | Type | Description | |
| | :--- | :--- | :--- | |
| | file_name | string | File name | |
| | entity_type | string | Identify the type of individuals entering and leaving, such as family members or visitors. | |
| | entry_point | string | Record the specific location where the individual enters the room or building. | |
| | exit_point | string | Record the specific location where the individual exits the room or building. | |
| | duration_of_stay | double | The amount of time an individual stays at a location, measured in minutes. | |
| | activity_pattern | string | Describe the behavioral pattern of the individual, such as passing straight through, staying, or wandering. | |
| | movement_speed | double | The speed at which the individual moves, measured in meters per second. | |
| | interaction_count | int | The number of interactions the individual has with others. | |
| |
| ## Compliance Statement |
| |
| <table> |
| <tr> |
| <td>Authorization Type</td> |
| <td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td> |
| </tr> |
| <tr> |
| <td>Commercial Use</td> |
| <td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td> |
| </tr> |
| <tr> |
| <td>Privacy and Anonymization</td> |
| <td>No PII, no real company names, simulated scenarios follow industry standards</td> |
| </tr> |
| <tr> |
| <td>Compliance System</td> |
| <td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td> |
| </tr> |
| </table> |
| |
| ## Source & Contact |
| |
| If you need more dataset details, please visit [Mobiusi](https://www.mobiusi.com/datasets/5e864a70a04707c466202298b714b186?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com |
| |
