Dynamic User Identification Mode Selection for Robots
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Solution Overview
Problem
Conventional user identification methods for intelligent robots rely solely on face image information, limiting their ability to identify users without sufficient information sources, and fail to adapt to varying service requirements and accuracy needs.
Innovation Solution
A user identification method and device that obtain user state information to determine available identification modes, assess their accuracy, and select the most suitable mode based on the service requirements, enabling identification through multiple information types and improving robustness and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If user identification is based solely on face image information, then the identification system is simple to implement, but the application range is limited and cannot identify users without face image information
Solution Approach 1:
The patent applies multi-functionality by enabling the identification system to perform multiple identification tasks using different information sources. The system can identify users through face images, voice characteristics, or combinations of both, making it universally applicable across various scenarios including those where face images are unavailable.
Solution Approach 2:
The system dynamically selects identification modes based on available information sources and service requirements. It can switch between face-based identification, voice-based identification, or combined approaches, adapting its operation to the specific context rather than using a fixed identification method.
2Reliability
If multiple identification modes are supported, then the robustness and application range are improved, but the system complexity increases
Solution Approach 1:
The system employs dynamic mode selection based on the availability of information sources and the requirements of the service. It automatically determines which identification mode(s) to use at runtime, switching between face-based, voice-based, or combined identification as needed, rather than maintaining all modes as permanently active complex subsystems.
Solution Approach 2:
The system performs preliminary assessment of available information sources before initiating identification. It evaluates what information is currently available (face images, voice signals) and pre-determines the appropriate identification mode, avoiding the need for complex real-time decision-making and reducing overall system complexity.
3Reliability
If identification mode selection is based on service requirements and accuracy information, then the reliability of identification results is ensured, but the processing time and complexity increase
Solution Approach 1:
The system performs preliminary evaluation of available information sources and pre-determines the appropriate identification mode before actual identification begins. By assessing what information is available and what accuracy is needed upfront, it avoids time-consuming trial-and-error identification attempts and reduces overall processing time.
Solution Approach 2:
The system dynamically adjusts its identification approach based on service requirements and available information, selecting the most appropriate mode (face-based, voice-based, or combined) to achieve the required accuracy efficiently. This dynamic selection prevents unnecessary processing time spent on unsuitable identification methods.
Data Source
AI summary
A user identification method and a user identification electronic device are provided. The method includes: obtaining user state information of a user; determining available user identification modes based on the user state information; determining user identification accuracy information corresponding to each of the available user identification modes; determining a selected user identification mode, based on a service requiring user identification and the user identification accuracy information; and performing user identification in the selected user identification mode. With the method or the electronic device, the user can be identified based on various types of information, thus an application range of the user identification method is expanded, and robustness of the user identification method is improved.