Motion-Stabilized Touch Control With Adaptive Power Management
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Solution Overview
Problem
Touch screens in high-motion environments, such as vehicles or cockpits, suffer from inaccuracy, latency, jittering touch points, unintended touches, and inconsistent pressure, leading to reduced precision and potential safety hazards due to accidental actions.
Innovation Solution
Implementing a motion stabilization model that adjusts and normalizes touch zones based on stabilized positions, using sensors like IMUs and cameras, to ensure accurate touch detection and reduce unintended inputs, combined with power optimization to enhance usability and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion stabilization model is implemented to stabilize touch inputs, then touch precision and reliability are improved, but device complexity and computational requirements increase
Solution Approach 1:
The patent introduces a motion stabilization model as an intermediary component between the touch screen hardware and the software application layer. This model receives raw touch inputs, applies motion compensation algorithms, and outputs stabilized touch coordinates. The intermediary layer isolates the complexity from both hardware and software, allowing standard touch screens to achieve enhanced precision without requiring hardware modifications or complete software rewrites.
Solution Approach 2:
The system performs preliminary motion compensation by predicting device motion based on accelerometer and gyroscope data, then pre-adjusts touch zone positions and sizes before touch inputs are processed. This preliminary action prevents motion-induced inaccuracies from occurring in the first place, rather than correcting them after detection, thereby improving touch precision while keeping the real-time processing requirements manageable.
2Measurement precision
If touch zones are adjusted and normalized based on stabilized positions, then touch control accuracy is improved, but processing time and computational load increase
Solution Approach 1:
The patent implements periodic updates of touch zone adjustments based on motion stabilization calculations rather than continuous recalculation for every touch event. The system updates touch zone positions and dimensions at optimized intervals based on detected motion thresholds, maintaining accuracy during significant motion while reducing unnecessary processing during stable periods. This periodic approach balances touch control accuracy with acceptable processing time.
Solution Approach 2:
The system applies partial motion compensation only to touch zones that are affected by device motion, rather than uniformly adjusting all touch zones. By identifying and selectively adjusting only the relevant touch zones based on motion patterns and zone sensitivity, the system achieves necessary touch control accuracy while minimizing overall processing time and computational load.
3Use of energy by moving object
If power optimization is combined with motion stabilization, then energy efficiency is improved, but may reduce responsiveness during high-motion conditions
Solution Approach 1:
The patent implements dynamic power management that adapts the motion stabilization processing intensity based on real-time motion conditions. During low-motion periods, the system reduces processing frequency and computational complexity to conserve energy. During high-motion conditions, the system automatically increases processing intensity and update frequency to maintain responsiveness and accuracy. This dynamic adjustment resolves the contradiction by making the system's energy consumption and responsiveness proportional to actual operational needs.
Solution Approach 2:
The system changes operational parameters such as processing frequency, algorithm complexity, and sensor sampling rates based on motion intensity thresholds. When motion exceeds certain thresholds, the system switches to high-performance modes with full computational resources allocated to motion stabilization. Below thresholds, it transitions to power-saving modes with reduced processing. This parameter-based adaptation enables the system to optimize energy efficiency without permanently sacrificing responsiveness during critical high-motion conditions.
Data Source
AI summary
Embodiments of the present disclosure relate to systems and methods for motion stabilized touch control with adaptive power management. A motion stabilization model is used to generate reference data comprising stabilized positions for touch points associated with a touch screen device, based on motion data from inertial measurement units. Touch zones are adjusted according to these stabilized positions through computer-executable instructions. The system monitors device activity using motion data and identifies computational resources to be allocated based on the activity state. Touch detection models are updated using these resources to learn the stabilized positions. Additionally, the system adjusts the refresh rate of the touch screen device in response to user interactions and recalibrates the dimensions of touch zones based on the adjusted refresh rate, thereby enhancing responsiveness and power efficiency.