Eye Data Calibration for Emotional Testing Accuracy
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Solution Overview
Problem
Existing calibration techniques for emotional response testing fail to accurately account for individual emotional profiles and light intensity variations, leading to flawed test results due to differences in emotional states and ocular physiological responses among subjects.
Innovation Solution
A calibration phase is performed to induce a desired emotional state, measuring emotional baseline values and ocular responses to different light intensities, using conditioning stimuli and fixation indicators to normalize eye data and ensure consistent gaze and pupil size measurements across subjects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If existing calibration techniques are used to standardize emotional response testing, then the testing process can be simplified, but measurement precision deteriorates due to failure to account for individual emotional profiles and light intensity variations
Solution Approach 1:
The patent applies preliminary action by implementing a calibration phase before the actual emotional response testing. During this calibration phase, subjects are exposed to standardized stimuli and their baseline emotional states and ocular responses to light intensity variations are measured and recorded. This preliminary measurement allows the system to establish individual baseline values that will be used to normalize subsequent test data, thereby improving measurement precision without significantly complicating the overall testing process.
Solution Approach 2:
The patent applies parameter changes by measuring and normalizing multiple parameters including emotional baseline values, pupil size, pupil dilation range, and light reflex responses. By capturing these physiological parameters during calibration and using them to normalize the test data, the system compensates for individual variations in emotional profiles and ocular responses, thereby improving measurement accuracy while maintaining operational efficiency.
2Measurement precision
If calibration is performed to account for individual differences in emotional states and ocular physiology, then measurement precision improves, but device complexity increases due to additional calibration steps and data processing requirements
Solution Approach 1:
The patent applies universality by designing a calibration and testing system that uses the same hardware and software infrastructure for both calibration and actual emotional response testing. The eye-tracking device, stimulus presentation system, and data processing algorithms serve dual purposes: establishing baseline values during calibration and measuring emotional responses during testing. This multi-functionality approach improves measurement precision through comprehensive calibration while avoiding the need for separate specialized equipment, thereby limiting the increase in device complexity.
3Reliability
If multiple calibration measurements are taken to establish baseline values for emotional state and ocular response, then reliability of test results improves, but loss of time increases due to extended calibration phase
Solution Approach 1:
The patent applies continuity of useful action by designing the calibration phase to continuously collect and process data without interruption. During the calibration phase, subjects are exposed to a sequence of stimuli with varying light intensities while the system continuously measures ocular responses and emotional state indicators. This continuous data collection allows for robust baseline establishment through multiple measurements while minimizing idle time, thereby improving result reliability without excessive time loss.
Solution Approach 2:
The patent applies periodic action by structuring the calibration stimuli presentation as a series of periodic cycles, where each cycle includes exposure to stimuli of different light intensities followed by measurement and normalization. This periodic structure allows the system to efficiently gather multiple data points for establishing baseline values while maintaining a predictable and time-efficient calibration process, balancing reliability improvement with time management.
Data Source
AI summary
A system and method is provided for calibrating and normalizing eye data of one or more subjects prior to and/or during emotional testing of the subjects. In particular, initially performing one or more calibration or normalization operations prior to an emotional test of a subject may result in accurate evaluations of emotional responses based on measurements of eye data. Additionally, further calibration or normalization performed during the emotional test may be used to refine the initial calibration or normalization, further increasing the accuracy of the evaluated emotional responses.