Mobile Device Automatic Muting via Gyroscope and Accelerometer
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Solution Overview
Problem
It is challenging to simultaneously communicate with someone on a mobile device while being in close proximity to others, as existing solutions require manual intervention to mute the device, leading to confusion in conversation meanings.
Innovation Solution
A mobile device equipped with a transceiver, microphone, sensor, and controller that senses user movements to automatically mute and unmute the device based on angular rotation and distance from the mouth, using a gyroscope and microphone array to determine intended communication recipients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-generated harmful factors
If manual muting methods (touching button, moving device away from mouth, covering microphone) are used, then voice transmission is reduced, but user convenience deteriorates and operation complexity increases
Solution Approach 1:
The system automatically detects when the user needs to mute by sensing device movement away from the mouth using the gyroscope and accelerometer, eliminating the need for manual muting operations. The device self-manages the muting state based on sensor data without user intervention.
Solution Approach 2:
The patent replaces mechanical muting methods (physically moving the device or covering the microphone) with an automated sensor-based system that uses gyroscopes and accelerometers to detect mouth proximity and automatically control the microphone, substituting mechanical actions with electronic sensing and control.
2Ease of operation
If automatic muting based on device movement is implemented, then ease of operation improves, but measurement precision deteriorates due to false mute triggers
Solution Approach 1:
The system combines multiple sensors (gyroscope for rotational movement detection and accelerometer for linear movement detection) to create a more robust and accurate muting detection system. By merging the data from these complementary sensors, the system achieves both ease of operation and improved measurement precision through cross-validation of movement patterns.
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
The solution effectively reduces voice transmission when the user is speaking to others nearby, preventing confusion and ensuring clear communication with the device user, while minimizing false mute triggers through the combination of sensor data using fuzzy logic.
Implementation Method 1
using a gyroscope and microphone array to determine intended communication recipients
Implementation Method 2
sensing movement of a device while a call being hosted by the device is in progress
Data Source
AI summary
A device includes a transceiver, a microphone, a sensor, and a controller coupled to receive signals from the sensor and to place the device into a mute mode when the signals from the sensor are indicative of a user action to reduce transmission of the user's voice.