Presence Status Detection via Heat and Motion Analysis
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Solution Overview
Problem
Existing systems for determining presence status using mobile communications devices lack accuracy in detecting user availability based on heat and motion data, often resulting in incomplete or inaccurate presence information.
Innovation Solution
A presence server that receives and analyzes heat and motion information from mobile devices, using sensors to calculate temperature differences and fit models to acceleration data to determine if a human profile is indicated, thereby providing more accurate presence status information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If heat and motion detection is used to determine presence status, then presence information can be provided, but the accuracy of detection is insufficient
Solution Approach 1:
The patent combines multiple sensor types (heat sensors and motion sensors) into a unified detection system. The presence server receives and processes both heat information and motion information from mobile devices, integrating these different measurement approaches to determine presence status. This merging of detection methods allows the system to cross-validate results and improve overall accuracy by considering multiple data sources simultaneously.
Solution Approach 2:
The system implements feedback mechanisms where the presence server analyzes received heat and motion information, determines presence status, and provides feedback to network elements and device clients. The server continuously monitors sensor data, compares it against established criteria, and updates presence information accordingly, allowing for iterative improvement and adaptation to different detection scenarios.
2Reliability
If multiple sensors are used for heat and motion detection, then detection capability is enhanced, but device complexity increases
Solution Approach 1:
The presence server acts as an intermediary between the mobile devices with sensors and the network elements. Instead of requiring complex sensor systems within each device, the server receives simplified sensor data from mobile devices, performs the complex analysis and integration in the cloud, and provides processed presence information to network elements. This intermediary approach shifts complexity from the edge devices to the central processing system.
Solution Approach 2:
The detection system is segmented into separate functional components: heat sensors in mobile devices, motion sensors in mobile devices, and a central presence server that processes both data types. This segmentation allows each component to be optimized independently and simplifies the overall architecture by dividing complex detection tasks across multiple specialized elements rather than requiring a single complex integrated system.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the accuracy of presence information provided to network elements and device clients by effectively characterizing user availability through heat and motion analysis, improving the reliability of presence status determination.
Implementation Method 1
receiving a first temperature associated with a first location near an outside surface of the mobile communications device. A second temperature associated with a second location near an outside surface of the mobile communications device is received
Implementation Method 2
The presence server is configured to receive acceleration data associated with the mobile device and analyze the acceleration data to determine whether a human profile is indicated
Data Source
AI summary
Determining a presence status associated with a user of a mobile communications device allows for presence information to be provided to network elements and device clients. Presence status information includes information that indicates whether a user is likely available via the mobile communications device. Acceleration data associated with the mobile device is collected and analyzed to determine whether a human profile is indicated. Presence status information is generated based at least on whether the human profile is indicated.


