Adaptive Proximity Sensor Threshold for Hair and Smudge Detection
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Solution Overview
Problem
Light-based proximity sensors in electronic devices, such as cellular telephones, face challenges in accurately determining the proximity of a user's head due to variations in hair color and smudges, leading to potential false readings.
Innovation Solution
Implementing a dynamically adjustable proximity sensor data threshold to process sensor data in real-time, allowing for adjustments based on the presence of dark hair and smudges, and using this information to control the device's operation modes, such as enabling or disabling the touch screen and display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed proximity sensor threshold is used, then the device operation is simple, but false readings occur due to variations in hair color and smudges
Solution Approach 1:
The patent implements a dynamically adjustable proximity sensor threshold that adapts based on detected reflectivity levels. The system transitions from a fixed threshold to a variable threshold that changes in real-time according to environmental conditions, specifically accounting for variations in hair color and sensor contamination. This dynamic adjustment resolves the contradiction by maintaining high detection accuracy across different scenarios without requiring complex manual calibration.
Solution Approach 2:
The system changes the threshold parameter based on measured reflectivity values. By monitoring the reflected light intensity and adjusting the threshold accordingly, the system adapts to different reflectivity conditions caused by dark hair or smudges. This parameter change approach allows the proximity detection to remain reliable while keeping the overall system relatively simple.
2Measurement precision
If the proximity sensor threshold is adjusted for dark hair, then detection accuracy for dark hair improves, but detection accuracy for other conditions may deteriorate
Solution Approach 1:
Rather than using a static threshold optimized for one condition, the system employs a dynamic threshold that adapts to each detection scenario. The threshold is adjusted in real-time based on the measured reflectivity, allowing the system to maintain high precision across varying conditions including dark hair, light hair, and smudged sensors, rather than sacrificing versatility for specialized optimization.
Solution Approach 2:
The system uses feedback from the proximity sensor readings to continuously adjust the threshold. By monitoring the reflected light intensity and comparing it against adaptive thresholds, the system can distinguish between legitimate proximity events and false conditions like dark hair or smudges. This feedback mechanism ensures both precision for dark hair detection and adaptability for other conditions.
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 enhances the accuracy of proximity detection, preventing false positives and negatives, thereby improving the device's operational efficiency and user experience by dynamically adjusting thresholds to account for varying reflectivity and contamination.
Implementation Method 1
a proximity sensor that is based on an infrared light-emitting diode and a corresponding infrared light detector. During operation, the light-emitting diode may emit infrared light outwards from the front face of the cellular telephone
Implementation Method 2
When the cellular telephone is adjacent to the user's head, the emitted light from the infrared light-emitting diode will be reflected from the user's head and detected by the light detector
Implementation Method 3
a light detector that detects reflected infrared light
Data Source
AI summary
An electronic device may be provided with electronic components such as a touch screen display. The touch screen display may be controlled based on information from a proximity sensor. The proximity sensor may have a light source that emits infrared light and a light detector that detects reflected infrared light. When the electronic device is in the vicinity of a user's head, the proximity sensor may produce data indicative of the presence of the user's head. Variations in proximity sensor output due to user hair color and smudges on the proximity sensor can be accommodated by using a dynamically adjustable proximity sensor data threshold in processing proximity sensor data. Proximity sensor data may be analyzed in real time to detect signal strength fluctuations that are indicative of the presence of low-reflectively dark hair on the user's head. Threshold adjustments may be based on the presence of dark hair.