Mobiusi

Family Member Entry/Exit and Visitor Behavior Tracking Dataset

#Behavior Recognition #Trajectory Prediction #Intrusion Detection #Smart Home #Security Monitoring #Behavior Analysis
  • 500
  • 1.3G
  • JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-02-04

AI Analysis & Value Prop

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.

Sample Examples

Technical Specifications

FieldTypeDescription
file_namestringFile name
durationstringDuration
qualitystringResolution
entity_typestringIdentify the type of individuals entering and leaving, such as family members or visitors.
entry_pointstringRecord the specific location where the individual enters the room or building.
exit_pointstringRecord the specific location where the individual exits the room or building.
duration_of_staydoubleThe amount of time an individual stays at a location, measured in minutes.
activity_patternstringDescribe the behavioral pattern of the individual, such as passing straight through, staying, or wandering.
movement_speeddoubleThe speed at which the individual moves, measured in meters per second.
interaction_countintThe number of interactions the individual has with others.

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What is the Household Member and Visitor Behavior Trajectory Detection Dataset?
The Household Member and Visitor Behavior Trajectory Detection Dataset is used for analyzing and detecting the behavior trajectories of family members and visitors within a household.
What is the main use of this dataset?
The main use of this dataset is to research and develop technologies and applications that can monitor and analyze the entry and behavior of household members and visitors.
What information can be obtained from this dataset?
Information such as activity patterns, entry frequency, and behavior trajectories of household members and visitors can be obtained from this dataset.
How does this dataset help enhance home security?
By analyzing the behavior trajectories of household members and visitors, this dataset helps identify anomalous behavior, thereby enhancing home security measures.
Which industries can benefit from this dataset?
Industries such as home security, anti-theft systems, smart home technology development, and social behavior research can benefit from this dataset.

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Cite this Work

@dataset{Mobiusi2026,
  title={Family Member Entry/Exit and Visitor Behavior Tracking Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/5e864a70a04707c466202298b714b186},
  urldate={2026-02-04},
  keywords={Entry and Behavior Detection, Visitor Trajectory Analysis, Home Security Monitoring},
  version={1.0}
}

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