Eye Gesture Calibration Using Duration Ranges in HMDs
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wearable computing devices with near-eye displays, such as head-mountable displays (HMDs), face challenges in accurately detecting eye gestures like blinks and winks due to variations in duration among individuals, leading to potential false positives and reduced accuracy.
Innovation Solution
The method involves determining a duration range indicative of an eye gesture by receiving reference signals and adjusting the duration range based on individual-specific reference duration ranges, allowing the HMD to calibrate and accurately recognize eye gestures by selecting the appropriate sensor range that matches the user's eye gesture duration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed duration range is used for eye gesture detection, then the detection process is simple, but detection accuracy decreases due to individual variations in eye gesture duration
Solution Approach 1:
The system performs preliminary calibration by collecting multiple reference signals during a calibration phase before actual eye gesture detection. This preliminary action establishes an individualized reference duration range that is stored and used during normal operation, eliminating the need for complex real-time adjustments while maintaining high detection accuracy
Solution Approach 2:
The system changes the duration parameter from a fixed universal value to a variable individual-specific value based on calibration data. By adjusting the duration range parameter according to each user's unique eye gesture characteristics, the system achieves high measurement precision without requiring complex real-time analysis mechanisms
2Measurement precision
If individual-specific calibration is implemented, then detection accuracy improves, but the calibration process becomes more complex
Solution Approach 1:
The system performs self-calibration by automatically collecting reference signals during a calibration phase and generating the individualized duration range without requiring manual intervention or complex user configuration. The calibration process is automated and requires minimal user effort, maintaining ease of operation while achieving high detection accuracy
Solution Approach 2:
The calibration process is performed in advance during a dedicated calibration phase, separating the complex individualization process from normal operation. This preliminary action simplifies the user experience during actual use while still implementing individual-specific detection parameters
Data Source
AI summary
Examples of methods and systems for using eye gesture duration to provide calibration for eye gesture detection are described. In some examples, calibration can be executed using a head-mountable device. The head-mountable device may be configured to determine a duration range indicative of an eye gesture and receive a plurality of reference signals indicative of the eye gesture. The plurality of reference signals may comprise duration information indicative of a plurality of reference durations of the eye gesture. The head-mountable device may determine, based on the plurality of reference durations, a reference duration range associated with the eye gesture that is within the duration range, and adjust the duration range for the eye gesture based on the reference duration range.