Mobile Terminal Auricle Recognition for Hands-Free Call Answering
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Solution Overview
Problem
Large-screen mobile terminals are difficult to operate with a single hand, especially when receiving an incoming call, leading to inconvenience and risk of damage due to the need for manual operation, which existing technologies cannot address effectively.
Innovation Solution
A mobile terminal equipped with a processor, storage, and camera that monitors for incoming calls and detects auricle images using a pre-stored standard library to automatically answer calls if a matching image template is found within a preset time period or associated telephone number.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual operation is used to answer incoming calls on large-screen mobile terminals, then the call can be answered, but it requires both hands and is inconvenient when the user is busy or driving
Solution Approach 1:
The patent replaces manual mechanical button pressing or screen sliding operations with an optical recognition system. The camera captures images of the user's auricle (ear), and image processing algorithms automatically identify and match the auricle pattern, triggering the answer call function without any physical contact with the device.
Solution Approach 2:
The system enables the mobile terminal to automatically answer calls by itself through auricle recognition, without requiring the user to manually operate the device. The device serves itself by using its own camera and processing capabilities to detect the user's presence and intent through auricle image analysis.
2Reliability
If manual operation is used to answer incoming calls, then the call can be answered, but there is a risk that the mobile terminal might be dropped and damaged
Solution Approach 1:
The patent eliminates the need for manual mechanical interaction by substituting it with an optical field-based recognition system. The camera and image processing algorithms detect the user's auricle to trigger the answer function, completely removing the physical contact that could lead to dropping the device.
3Extent of automation
If auricle image recognition is used to automatically answer calls, then hands-free operation is achieved, but the system complexity increases due to image processing requirements
Solution Approach 1:
The system creates a digital copy or template of the user's auricle image during setup or first use. This template is stored and used for rapid comparison during incoming calls, avoiding the need for complex real-time auricle analysis from scratch. The matching process compares the captured auricle image against the stored template to determine authenticity.
Solution Approach 2:
The patent performs preliminary actions by pre-storing the user's auricle image template before actual call answering is needed. This preparation work is done in advance, so that during incoming calls, the system only needs to capture and compare images rather than perform full auricle recognition analysis, significantly reducing processing time and complexity.
Data Source
AI summary
A mobile terminal and a method for the mobile terminal to automatically answer an incoming call are disclosed. Firstly when there is an incoming call for the mobile terminal, whether an auricle image is acquired at a screen side of the mobile terminal is detected, and if the auricle image is acquired, then the auricle image is compared with image templates in an pre-stored auricle standard library to determine whether there is a matching image template, and if it is determined that there is a matching image template, then the mobile terminal is controlled to answer the incoming call.