WiFi Connection Sequences for Privacy-Preserving Presence Detection
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Solution Overview
Problem
Existing systems lack an efficient method to determine the presence or absence of individuals within an environment using WiFi connections, particularly in a privacy-preserving manner, while enabling automated control of devices based on user presence.
Innovation Solution
A computer-implemented method and system that utilizes WiFi access points to generate connection sequences for WiFi devices, applying rules and machine learning to determine user presence or absence based on connection and disconnection times, using privacy-preserving identifiers, and controlling devices accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If WiFi connection data is collected and analyzed to determine user presence, then presence detection accuracy is improved, but user privacy is compromised
Solution Approach 1:
The patent extracts only the essential information needed for presence detection (connection status, duration, and patterns) while discarding personally identifiable information. WiFi device identifiers are used without capturing user names, locations, or other sensitive data, thereby achieving presence detection while preserving privacy.
Solution Approach 2:
The patent transforms raw WiFi connection data into aggregated presence indicators by changing the parameter representation. Instead of tracking individual device movements and connection details, the system converts this data into presence/absence states based on connection patterns, maintaining detection accuracy while eliminating privacy-sensitive information.
2Reliability
If multiple WiFi access points are monitored to improve presence detection reliability, then detection reliability is improved, but system complexity increases
Solution Approach 1:
The patent merges data from multiple WiFi access points into a unified presence determination system. By combining connection data from multiple APs and analyzing collective connection patterns, the system achieves reliable presence detection without requiring complex individual analysis of each access point, thereby reducing overall system complexity.
Solution Approach 2:
The patent creates a universal presence detection algorithm that works across multiple WiFi access points using the same analysis methodology. This multi-functional approach allows the system to handle data from any number of APs uniformly, simplifying the system architecture compared to having separate detection mechanisms for each access point.
3Measurement precision
If connection time thresholds are set to accurately distinguish presence from absence, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent implements dynamic threshold adjustment where connection time requirements are not fixed but adapt based on the specific WiFi device and connection patterns. The system learns optimal threshold values for different devices and contexts, maintaining high precision while reducing the need for manual configuration and making the system easier to operate.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system continuously monitors connection patterns and adjusts presence determination thresholds based on observed data. This feedback loop allows the system to automatically optimize its parameters, eliminating the need for manual threshold configuration and improving ease of operation while maintaining accuracy.
Data Source
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AI summary
Systems and techniques are provided for determination of user presence and absence using WiFi connections. Reports may be received from WiFi access points in an environment. The reports may include an identifier of a WiFi device, an indication of a connection to or disconnection from a WiFi access point, a time of the connection or disconnection, and an identifier of the WiFi access point. A connection sequence for the WiFi device may be generated from the reports. Whether the WiFi device is present in or absent from the environment as of a specified time may be determined based on the connection sequence. An indication of presence for a user associated with the WiFi device may generated if the WiFi device is present in the environment. An indication of absence for the user associated with the WiFi device may be generated if the WiFi device is absent from the environment.