Earphone Motion Sensor Signal Subtraction for Third-Party Detection
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Solution Overview
Problem
Existing mobile terminals fail to accurately detect and notify users of approaching third parties due to false signals from motion sensors detecting far infrared rays emitted by the user, leading to potential false notifications.
Innovation Solution
A mobile terminal system that communicates with right and left earphones equipped with motion sensors, subtracts the output signals from each earphone to remove user-generated signals, and uses the difference value to accurately detect approaching individuals, with optional notification methods via voice, display, or vibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion sensors detect far infrared rays to identify approaching individuals, then the detection capability is improved, but false detections occur due to user-generated infrared signals
Solution Approach 1:
The detection system is segmented into multiple independent motion sensors placed in different spatial locations (right earphone and left earphone). Each sensor independently detects infrared signals, and the system processes the segmented signals separately before combining them through subtraction to eliminate the user's infrared signature and isolate approaching third parties.
Solution Approach 2:
The system extracts and removes the user-generated infrared signal component from the total detected signal. By subtracting the output signals from multiple sensors, the user's consistent infrared emission is extracted and eliminated, leaving only the differential signals from approaching third parties.
2Adaptability or versatility
If motion sensors are placed in earphones worn by the user, then the detection system becomes portable and user-specific, but the user's own infrared emissions interfere with detecting third parties
Solution Approach 1:
The system converts the harmful user-generated infrared interference into a useful reference signal. By using the user's own infrared emissions as the subtraction baseline, the system transforms what was previously noise into the key to eliminating noise and accurately detecting third parties.
3Measurement precision
If multiple motion sensors are used in right and left earphones, then the system can differentiate user signals from third party signals, but the device complexity increases
Solution Approach 1:
The motion sensors in the earphones serve multiple functions: they detect both the user's own movements and the infrared emissions from approaching third parties. The same sensors that monitor user activity are universally used for security detection, eliminating the need for separate dedicated sensors and reducing overall system complexity.
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
This approach significantly reduces false detections and enhances the accuracy of third-party approach notifications, allowing users to be informed of genuine approaches while minimizing unnecessary alerts.
Implementation Method 1
motion sensors that detect far infrared rays
Data Source
AI summary
A communication circuit communicates with a right earphone worn on a right ear of a user and a left earphone worn on a left ear of the user to receive a first output signal generated by a first motion sensor provided in the right earphone and a second output signal generated by a second motion sensor provided in the left earphone. A detector detects whether a third party has approached the user based on a difference value between the first output signal and the second output signal received by the communication circuit. A notification unit notifies the user that the third party has approached the user when the detector detects that the third party has approached the user.