Bluetooth Direction Finding Head Pose Estimation

The patent introduces an intermediary processing layer that receives raw signal data from conventional wireless communication systems and extracts behavior-related features. This intermediary layer processes RF signal characteristics (strength, phase, timing) to infer user behavior without requiring direct complex sensing, thus improving behavior detection accuracy while avoiding the need for overly complex hardware systems.

The patent transforms conventional location parameters (coordinates, distance) into behavior-indicative parameters by analyzing changes in signal characteristics over time. By monitoring parameter variations such as signal strength fluctuations, phase shifts, and timing changes, the system infers user behaviors like head pose, interest in content, and attention direction, thereby improving measurement precision without adding complex devices.

The patent replaces complex mechanical or optical eye-tracking systems with a wireless signal-based detection method. Instead of using cameras, infrared sensors, or mechanical eye-tracking hardware, the system uses RF signal characteristics already present in the wireless communication environment to infer user interest and attention, thereby maintaining detection accuracy while dramatically simplifying system operation.

The patent enables the wireless communication system to serve dual purposes: maintaining its primary communication function while simultaneously detecting user behavior through analysis of its own transmitted and received signals. The system uses its existing RF signals as the detection medium, eliminating the need for separate eye-tracking hardware and reducing operational complexity.

The patent implements a feedback mechanism where the system continuously monitors wireless signal characteristics to detect user behavior changes in real-time. Based on this feedback, the system dynamically adjusts content delivery, advertising selection, and navigation information provision to match current user interest and attention state, thereby improving content delivery accuracy without losing behavioral information.

The patent performs preliminary analysis of user behavior patterns by continuously monitoring signal characteristics before delivering targeted content. The system pre-processes behavioral data to identify user interest trends and attention patterns, enabling proactive and personalized content delivery rather than reactive generic delivery, thus improving accuracy while preserving behavioral information.