System for optimal rapid serial visual presentation (RSVP) from user-specific neural brain signals
US8699767B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 21, 2010 |
| Grant date | Apr 15, 2014 |
| Priority date | — |
| Expiry date | Sep 14, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2218/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described is a system for optimizing rapid serial visual presentation (RSVP). A similarity metric is computed for RSVP images, and the images are sequenced according to the similarity metrics. The sequenced images are presented to a user, and neural signals are received to detect a P300 signal. A neural score for each image is computed, and the system is optimized to model the neural scores. The images are resequenced according a predictive model to output a sequence prediction which does not cause a false P300 signal. Additionally, the present invention describes computing a set of motion surprise maps from image chips. The image chips are labeled as static or moving and prepared into RSVP datasets. Neural signals are recorded in response to the RSVP datasets, and an EEG score is computed from the neural signals. Each image chip is then classified as containing or not containing an item of interest.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.