Assessing developmental disorders via eye tracking
Inventors
Narayanan, Sreeni • Swanson-Hysell, Ella • Johnson, Eli • Shifke, Steven • Davis, Jason • Eck, Connor • Sifre, Robin
Assignees
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Publication Number
US-11666259-B1
Publication Date
2023-06-06
Expiration Date
Abstract
Systems, devices, apparatus, methods, and computer-readable storage media for developmental assessment using eye tracking are provided. In one aspect, a system for development assessment via eye tracking includes: a patient-side computing device having a screen for presenting visual stimuli to a patient, an eye-tracking device integrated with the patient-side computing device and configured to collect eye-tracking data of the patient while the visual stimuli are presented to the patient on the screen of the patient-side computing device, and an operator-side computing device configured to present a user interface for an operator to communicate with the patient-side computing device.
Core Innovation
An eye-tracking developmental assessment system supports development assessment using eye-tracking data collected during presentation of a set of videos. The system includes network-connected patient-side portable tablet computing devices that collect session data of each eye-tracking session while presenting the set of videos, and an operator-side computing device in the system context for developmental assessment.
At a network-connected server, the system receives session data of multiple eye-tracking sessions from the patient-side portable tablet computing devices and processes the session data in parallel to generate processed session data. For each session, the server loads corresponding reference data for comparison and outputs an assessment report for a corresponding patient, including an animation visualizing the eye-tracking data overlaid on corresponding visual stimulus stills from socially relevant moments of the set of videos and a visualization of aggregated reference data from a plurality of reference patients matched with the patient on one or more patient attributes.
The system further provides annotations describing at least one of visual stimulus content or eye-gaze patterns, and can determine calibration accuracy for a container using eye-tracking data associated with a corresponding calibration and predetermined locations where calibration targets are presented. The architecture supports multiple remote sites and a multi-tenant arrangement in which data repositories are isolated and inaccessible by other remote sites, and the processing and reporting outputs are managed in a cloud computing system that processes multiple sessions and generates neurodevelopmental assessment outputs.
Claims Coverage
The provided material identifies one independent claim (clm-00001) plus two additional independent claim statements (clm-00012 and clm-00016) that depend on earlier numbered claims. Across these independent claim statements, the inventive coverage centers on parallel processing of multiple eye-tracking sessions from multiple patient-side portable tablet computing devices, reference-data comparison, and producing clinician-facing assessment outputs with animations, aggregated reference visualizations, and annotations; additional coverage includes calibration accuracy determination for a container and isolated repositories per remote site.
Parallel processing of multiple eye-tracking sessions and reference comparison at a network-connected server
Receiving, at a network-connected server in communication with multiple patient-side portable tablet computing devices, session data of multiple eye-tracking sessions, processing the session data in parallel at the network-connected server to generate processed session data, and loading corresponding reference data for comparison to the processed session data for each session to output an assessment report for the corresponding patient.
Animation overlay on socially relevant video stimulus stills plus aggregated reference comparison and annotations
Outputting an assessment report that includes an animation visualizing the eye-tracking data overlaid on corresponding visual stimulus stills from socially relevant moments of the set of videos, a visualization of aggregated reference data from a plurality of reference patients matched with the corresponding patient on one or more patient attributes, and annotations describing at least one of a visual stimulus content or eye-gaze patterns.
Calibration accuracy determination using eye-tracking data and predetermined calibration target locations
In the respective container, determining a calibration accuracy using at least one portion of eye-tracking data associated with the corresponding calibration and a plurality of predetermined locations where a plurality of calibration targets are presented in the corresponding calibration.
Isolated repositories per remote site for storing session data with operator information
Storing session data from one or more patient-side portable tablet computing devices associated with each remote site in a respective repository that includes information of one or more operators or operator-side computing devices associated with the remote site, wherein the respective repository is isolated from one or more other repositories and inaccessible by one or more other remote sites.
Overall, the independent claim coverage centers on cloud/server-side receipt of multi-session eye-tracking session data from patient-side portable tablet devices, parallel processing, comparison against corresponding reference data, and producing assessment reports with animation overlays on socially relevant video stills, aggregated reference visualizations matched by patient attributes, and annotations; additional independent coverage specifies calibration accuracy determination within a container and tenant/remote-site isolated repositories for storing session data.
Stated Advantages
Faster turnaround (about 24 hours) for assessment outputs.
Scalability.
Privacy/security using tenant isolation and secure communications.
High availability via geo-redundancy.
Documented Applications
Producing neurodevelopmental assessment outputs from eye-tracking developmental assessment sessions, including assessment report visualizations and outputs based on comparison to reference data.
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