Instrument Interface Motion Filtering for Erratic Cursor Control
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Solution Overview
Problem
Graphical user interfaces (GUIs) are challenging for users with neuromuscular impairments and in high-vibration environments due to difficulties in making finely controlled motions, leading to erratic cursor movement and selection issues.
Innovation Solution
An instrument interface with motion sensors and processing units that apply spatial filtering to smooth erratic motion data, using finite impulse response filters to predict and latch likely selections, enhancing user input accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If spatial filtering is applied to smooth motion data, then cursor movement stability is improved, but system complexity increases
Solution Approach 1:
A finite impulse response (FIR) filter is introduced as an intermediary component between the motion sensor and the cursor control system. The FIR filter processes raw motion data from the sensor, smoothing erratic movements before transmitting stabilized cursor position data to the display system, thereby resolving the contradiction by adding a mediating filtering layer
Solution Approach 2:
The system dynamically adjusts filter parameters (such as filter order and cutoff frequency) based on detected motion characteristics and user behavior patterns. By changing filter parameters adaptively, the system optimizes cursor stability for different usage scenarios while managing computational complexity through parameter optimization rather than structural complexity
2Measurement precision
If filter parameters are customized for individual users, then user input accuracy is improved, but calibration time increases
Solution Approach 1:
A calibration routine is implemented that performs preliminary customization of FIR filter parameters for each user before normal operation begins. During this preliminary phase, the system collects user-specific motion characteristics and pre-computes optimized filter parameters, storing them for future use. This preliminary action ensures high input accuracy while minimizing time loss during actual usage
Solution Approach 2:
The calibration system operates autonomously by automatically analyzing user motion patterns and generating customized filter parameters without requiring manual intervention. The system self-adjusts parameters based on observed usage patterns, reducing calibration time while maintaining high input accuracy through automated optimization
Data Source
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AI summary
Apparatus and methods to reduce effects of erratic motion input during operation of an instrument via a graphical user interface are described. Spatial motion input received from a user may be filtered using filter parameters obtained during a calibration procedure. The filtered motion input may be used to predict a trajectory of a cursor or object used to select an icon or text. The icon or text may be latched to the approaching cursor or object. The combination of motion smoothing and latching may improve ease-of-use of the graphical user interface for individuals having neuromuscular disorder, or users operating instruments in high-vibration environments.