---
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&#039;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