Coordinating Motion and Proximity Sensors for Gesture Recognition
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Solution Overview
Problem
Conventional mobile devices experience high false positive rates in gesture recognition and prolonged response times due to the lack of coordination between motion and proximity sensors, leading to unnecessary activation of functions.
Innovation Solution
A method that coordinates motion and proximity sensors to confirm gestures by using motion sensor readings to calibrate the proximity sensor before reaching a target object, thereby reducing false positives and shortening response times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the mobile device uses motion sensor readings alone to recognize gestures, then the gesture recognition process is simple and fast, but the false positive rate increases
Solution Approach 1:
The system performs preliminary calibration of the proximity sensor using motion sensor data before the actual proximity detection is needed. When a gesture is detected, the system pre-adjusts the proximity sensor baseline, so that when the device actually reaches the target object, the proximity sensor is already calibrated and ready to respond instantly, eliminating the need for lengthy calibration at the moment of detection
Solution Approach 2:
The motion sensor serves as an intermediary that triggers and guides the proximity sensor calibration process. The motion sensor detects the gesture and initiates the proximity sensor adjustment, acting as a mediator that coordinates between user intent and the proximity detection system to reduce false positives
2Loss of time
If the proximity sensor is calibrated before reaching the target object, then the response time is shortened, but the calibration process requires additional time and resources
Solution Approach 1:
The system performs proximity sensor calibration in advance when motion is detected, rather than waiting until the device reaches the target object. This preliminary calibration action, triggered by gesture detection, ensures the proximity sensor is ready immediately when needed, reducing the perceived response time from the user's perspective
Solution Approach 2:
The calibration process is integrated into the natural motion sequence, making it appear continuous to the user. As the user moves the device toward the target, the calibration happens seamlessly in the background during the motion transition, maintaining the illusion of instant response while actually performing necessary calibration steps
3Productivity
If the mobile device activates functions based on motion gestures alone, then the activation speed is fast, but the false positive activation rate increases
Solution Approach 1:
The system performs preliminary verification by checking proximity sensor data before activating functions. When a gesture is detected, the system pre-checks whether the device is actually near the target object using the proximity sensor, confirming the gesture's validity before triggering the associated function, thus preventing false activations
Solution Approach 2:
The system uses proximity sensor feedback to verify gesture detection results. The proximity sensor provides real-time feedback about whether the device is actually near the target object, allowing the system to confirm or reject the detected gesture and prevent false positive function activations
Data Source
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AI summary
Methods, program products, and systems of motion based device operations are described. A mobile device can coordinate operations of a motion sensor and a proximity sensor. The mobile device can determine a gesture event using the motion sensor. The mobile device can determine a proximity event using the proximity sensor. The mobile device can use the gesture event and proximity event to confirm one another, and determine that the mobile device has moved in proximity to a target object following a specified gesture. Upon confirmation, the mobile device can perform a specified task.