Correlating Inertial and Spatiotemporal Data for Activity Authentication
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Solution Overview
Problem
Current systems for authenticating physical activity in monitored spaces lack accuracy and efficiency, particularly in distinguishing authorized individuals and tracking movements within restricted areas, due to limitations in inertial sensors and image-based sensors.
Innovation Solution
A method and system that correlate inertial data patterns from mobile devices with spatiotemporal movement patterns captured by activity detectors, using a combination of sensors such as motion, presence, and imaging sensors, to authenticate physical activity and identify locations, without requiring additional hardware or modifications to mobile devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If inertial sensors are used for physical activity authentication, then location tracking capability is provided, but measurement precision and accuracy are insufficient
Solution Approach 1:
The patent combines multiple sensor types (inertial sensors, image-based sensors, and other activity detectors) into an integrated authentication system. The server correlates data from inertial sensors with spatiotemporal movement patterns from image-based sensors and presence data from other detectors, creating a multi-modal authentication approach that overcomes the limitations of individual sensor types and achieves high precision while maintaining reliability.
2Measurement precision
If image-based sensors are used for location tracking, then location tracking is provided, but ability to identify objects and assign unique IDs is lost
Solution Approach 1:
The patent uses mobile devices as intermediaries that carry unique identifiers (such as device IDs or user profiles) and inertial sensors. The server correlates the spatiotemporal movement patterns from image-based sensors with the unique identifiers from mobile devices, thereby maintaining object identification capability while utilizing the location tracking precision of image-based sensors.
3Measurement precision
If multiple sensor types are integrated for authentication, then authentication accuracy is improved, but system complexity increases
Solution Approach 1:
The patent enables mobile devices to self-report their inertial sensor data and unique identifiers to the server. The system automatically correlates this data with spatiotemporal movement patterns from image-based sensors and presence data from other detectors, reducing the need for complex manual configuration and integration logic at the edge devices, thereby managing system complexity while maintaining high authentication precision.
Data Source
AI summary
A method of authenticating physical activity in a monitored space, comprising: obtaining monitored space activity data from at least one activity detector deployed in the monitored space to capture simultaneously physical activity of a plurality of moving objects in said monitored space; analyzing said monitored space activity data to identify a plurality of spatiotemporal movement patterns in said monitored space; obtaining a plurality of inertial data patterns from each one of a plurality of applications executed in a plurality of mobile devices, each one of said inertial data patterns is recorded using an inertial sensing device installed in one of said plurality of mobile devices, each one of said plurality of mobile devices is associated with one of a plurality of persons; identifying at least one correlation between at least one of said plurality of inertial data patterns and at least one of said plurality of spatiotemporal movement patterns; authenticating said physical activity according to said at least one correlation.