Sensor Processing Module Hysteresis Noise Filtering
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Solution Overview
Problem
Electronic devices face inefficiencies in processing sensor signals due to noise and transitory fluctuations, leading to false triggers and redundant processing across multiple sensors, which wastes processing power and requires tedious software development for each sensor.
Innovation Solution
A system and method that utilize a microprocessor with a sensor processing module implementing hysteresis and debouncing algorithms to filter out noise and stabilize sensor signals, ensuring accurate state changes are detected only after a predetermined wait period, thereby reducing false triggers and consolidating processing for all sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If sensor signals are processed immediately upon detection, then the device responds quickly to state changes, but noise and transitory fluctuations cause false triggers and redundant processing
Solution Approach 1:
The patent applies preliminary action by implementing a wait period (e.g., 500ms delay) before processing sensor signals. When a sensor detects a state change, the system waits for a predetermined time to see if the signal stabilizes before triggering further processing. This preliminary waiting action filters out transient noise while maintaining relatively quick response for genuine state changes.
2Adaptability or versatility
If each sensor is processed independently with dedicated processing logic, then each sensor can be optimized for its specific requirements, but the software development becomes tedious and processing power is wasted on redundant operations
Solution Approach 1:
The patent implements universality by creating a single, unified sensor processing module that handles all sensor inputs through a common interface. Instead of writing separate processing logic for each sensor type, the system uses one versatile module that can process signals from multiple sensors (e.g., holster sensor, flip sensor) with consistent debouncing and wait period logic, reducing software complexity while maintaining adaptability through configuration parameters.
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 efficiently filters out noise and stabilizes sensor signals, reducing false triggers and optimizing processing power by ensuring that state changes are confirmed only after a wait period, thus enhancing the reliability and efficiency of sensor information processing across various sensors in electronic devices.
Implementation Method 1
processing the received signal includes implementation of a hysteresis
Data Source
AI summary
A system for processing sensor information in a wireless communications device, comprising a sensor processing module for execution by the microprocessor, the sensor processing module being configured to: receive a signal representing the state of the sensor; and process the received signal to determine whether there is a change in a state of the device; wherein processing the received signal includes implementation of a hysteresis.