METHOD AND SYSTEM FOR DETECTING HUMAN ABNORMAL BEHAVIOR USING DATA FROM A USER'S PORTABLE DEVICES
Patent Information
- Application Number
- DE602019067439
- Authority / Receiving Office
- DE · DE
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2019-12-11
- Publication Date
- 2025-03-19
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing systems for detecting deviant behavior using smartphone and wearable device data rely on simplistic statistical methods and fail to accurately represent complex human routines, leading to inadequate detection of abnormal behavior.
A computer-implemented method and system that automatically extracts users' routines using topic modeling and personalized time slots based on past mobile usage patterns, and generates alerts when significant deviations from these routines occur.
The method provides a robust and personalized detection of abnormal behavior, improving upon existing techniques by using a combination of sensor-based feature levels and topic modeling to accurately capture user routines and trigger alerts based on significant deviations.