HIM Input Parameter Adaptation for User-Specific Output Control
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Solution Overview
Problem
Conventional HIM devices have fixed parameters set at the factory, which may not be suitable for individual user habits, and resetting these parameters is often complicated or requires specific software.
Innovation Solution
A HIM device setting method and output adjusting method that dynamically adjusts parameters based on input information using a processing circuit, potentially incorporating AI models to learn user behavior and optimize device settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If parameters are pre-set at the factory to ensure device stability, then device reliability is improved, but adaptability to different user habits deteriorates
Solution Approach 1:
The patent implements dynamic parameter adjustment by transitioning from fixed factory presets to real-time adaptive settings. The system continuously monitors user input characteristics and automatically adjusts parameters such as sampling rates, filtering coefficients, and recognition thresholds to match individual user behaviors, making the device adaptable while maintaining stability through controlled adaptation.
Solution Approach 2:
The system performs self-adjustment by automatically analyzing user input patterns and modifying its own parameters without requiring external intervention. The device collects user behavior data, processes it through analysis algorithms, and autonomously optimizes operational parameters, enabling the system to serve itself in adapting to user habits.
2Adaptability or versatility
If parameters are made adjustable to fit individual user habits, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system automatically performs parameter adjustment through built-in analysis and optimization algorithms. User behavior is continuously monitored and processed by the system's own computational resources, which autonomously determine optimal parameter settings without requiring external tools or complex user configurations.
Solution Approach 2:
The system implements a closed-loop feedback mechanism where user input characteristics are continuously monitored, analyzed, and used to adjust parameters in real-time. The feedback cycle collects data on user typing patterns, voice characteristics, or interaction behaviors, processes this information, and automatically modifies operational parameters to optimize performance for each user.
3Adaptability or versatility
If parameter adjustment functionality is added to accommodate user habits, then adaptability is improved, but ease of operation deteriorates
Solution Approach 1:
The system handles all parameter adjustment operations autonomously without requiring user intervention. Users simply operate the device normally while the system independently monitors their behavior patterns and automatically adapts parameters, maintaining operational simplicity while achieving high adaptability.
Solution Approach 2:
The system performs parameter optimization in advance based on collected user behavior data. By continuously learning user habits and pre-adjusting parameters before specific tasks are performed, the system ensures optimal settings are already in place when users need them, eliminating the need for users to manually configure parameters.
Data Source
AI summary
A HIM device setting method is disclosed, which is applied to a HIM control device comprising a processing circuit. The HIM device setting method comprises: collecting input information of a HIM device by the processing circuit; and dynamically adjusting parameters of the HIM device according to the input information by the processing circuit. A corresponding HIM device output adjusting method is also disclosed. By this way, the output or the parameters of the HIM device may adjusted, to increase the user experience.