Systems and Methods for Generating Bio-Sensory Metrics
First Claim
1. A method running on a processor for automatically segmenting video data of subjects, the method comprising:
- capturing eye tracking data of subjects and identifying a plurality of gaze locations;
computing a gaze distance and a gaze velocity from the plurality of gaze locations;
identifying fixations, wherein a fixation defines a region of interest (ROI); and
automatically segmenting the eye tracking data by grouping continuous blocks of the fixations into ROI events.
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Abstract
Neuromarketing processing systems and methods are described that provide marketers with a window into the mind of the consumer with a scientifically validated, quantitatively-based means of bio-sensory measurement. The neuromarketing processing system generates, from bio-sensory inputs, quantitative models of consumers'"'"' responses to information in the consumer environment, under an embodiment. The quantitative models provide information including consumers'"'"' emotion, engagement, cognition, and feelings. The information in the consumer environment includes advertising, packaging, in-store marketing, and online marketing.
134 Citations
50 Claims
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1. A method running on a processor for automatically segmenting video data of subjects, the method comprising:
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capturing eye tracking data of subjects and identifying a plurality of gaze locations; computing a gaze distance and a gaze velocity from the plurality of gaze locations; identifying fixations, wherein a fixation defines a region of interest (ROI); and automatically segmenting the eye tracking data by grouping continuous blocks of the fixations into ROI events. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29)
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30. A method running on a processor and automatically segmenting data into regions of interest (ROIs), the method comprising:
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capturing eye tracking data of subjects; identifying a plurality of gaze locations from the eye tracking data; computing a gaze distance as a distance between consecutive gaze locations; computing a gaze velocity as a time derivative of the gaze distance; identifying fixations, wherein a fixation defines a ROI and is a period of time during which the gaze velocity is less than a threshold velocity; and automatically segmenting the eye tracking data into ROIs based on eye tracking gaze velocity by grouping continuous blocks of the fixations into ROI events.
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31. A method for processing video data running on a processor, the method comprising:
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identifying a plurality of gaze locations from subjects of the video data; computing a gaze distance and a gaze velocity from the plurality of gaze locations; identifying fixations, wherein a fixation is a period of time during which the gaze velocity is less than a threshold velocity; generating a list of objects in the video data, wherein each object of the list of objects has a position defined by pixels; placing a marker in the video data, for each fixation, wherein the marker identifies a location in the environment where a subject is looking; selecting an object corresponding to the location in the environment where the subject is looking, wherein the list of objects comprises the object.
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32. A system for processing video data of subjects, the system comprising:
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at least one data collection device; a processor coupled to the at least one data collection device; wherein the processor receives bio-sensory data from the at least one data collection device, the bio-sensory data including eye tracking data of subjects; wherein the processor identifies a plurality of gaze locations from the eye tracking data; wherein the processor computes a gaze distance and a gaze velocity from the plurality of gaze locations; wherein the processor identifies fixations, wherein a fixation defines a region of interest (ROI); and wherein the processor automatically segments the eye tracking data by grouping continuous blocks of the fixations into ROI events. - View Dependent Claims (33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49)
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50. A system for processing bio-sensory data of subjects, the system comprising:
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at least one data collection device; a processor coupled to the at least one data collection device, wherein the processor receives the bio-sensory data from the at least one data collection device; wherein the processor identifies a plurality of gaze locations from the bio-sensory data and computes a gaze distance and a gaze velocity from the plurality of gaze locations; wherein the processor identifies fixations, wherein a fixation is a period of time during which the gaze velocity is less than a threshold velocity; wherein the processor generates a list of objects in the video data, wherein each object of the list of objects has a position defined by pixels; wherein the processor places a marker in the video data, for each fixation, wherein the marker identifies a location in the environment where a subject is looking; and wherein the processor selects an object corresponding to the location in the environment where the subject is looking, wherein the list of objects comprises the object.
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Specification