Force-Displacement Interaction Sensing for Reliable User Identification
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Solution Overview
Problem
Existing user identity determination methods, such as password input and biometric identification, are cumbersome, slow, and unreliable under varying conditions, making them susceptible to breaches and inefficiencies.
Innovation Solution
A system utilizing mechanical interaction elements, sensors to measure interaction data, and processors to compare these data with stored data for reliable user identification, employing force and displacement data that are not easily replicated by others and unaffected by external conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If password input or traditional biometric methods are used for user identification, then security can be maintained, but the process becomes slow and cumbersome
Solution Approach 1:
The patent replaces traditional mechanical interaction methods (password typing, manual biometric scanning) with a mechanical sensor system that detects physical interactions. The sensor measures mechanical parameters (force, displacement, duration) of user interactions with the device surface, enabling rapid identification without manual input or complex biometric scanning procedures.
Solution Approach 2:
The patent changes the identification parameters from traditional methods (password strings, facial images, fingerprint patterns) to mechanical interaction parameters (force magnitude, displacement distance, interaction duration). These physical parameters are captured by the mechanical sensor and processed to identify users rapidly and reliably.
2Productivity
If traditional biometric methods are used, then identification can be performed, but reliability deteriorates under sub-optimal conditions
Solution Approach 1:
The patent creates a universal identification system that works across multiple conditions (different lighting, weather, user states) by detecting mechanical interactions that are inherently independent of environmental factors. The mechanical sensor detects physical actions (pushes, pulls, strokes) that can be performed reliably whether the user is wearing gloves, in dark conditions, or under various weather conditions, making the system universally applicable.
Solution Approach 2:
The patent uses simple, inexpensive mechanical interaction elements (such as buttons, switches, or surface sensors) that can be easily replaced or are inherently disposable. These simple mechanical components provide reliable identification without requiring expensive, complex biometric hardware that may fail under sub-optimal conditions.
3Ease of operation
If simple mechanical interaction elements are used, then ease of operation improves, but measurement precision may deteriorate
Solution Approach 1:
The patent merges multiple simple mechanical interaction elements into a unified sensor system that captures comprehensive interaction data. By combining data from multiple simple sensors (force, displacement, duration measurements), the system achieves high measurement precision while maintaining the simplicity of mechanical interaction. The sensor array works together to provide detailed interaction characteristics from basic mechanical inputs.
Solution Approach 2:
The patent adds multiple measurement dimensions to simple mechanical interactions. Instead of detecting only basic button presses, the system measures force magnitude, displacement distance, interaction duration, and temporal patterns. By adding these dimensional parameters to simple mechanical actions, the system achieves high precision identification while keeping the interaction itself simple and intuitive.
Data Source
AI summary
A system. The system includes at least one mechanical interaction element configured for interaction with the user, a sensor configured to measure the interaction by a user with the at least one mechanical interaction element so as to obtain interaction data, a data storage unit for storing previously acquired interaction data relating to the user, and a processor configured to compare the obtained interaction data to the stored interaction data.


