PATENT CLAIM ANALYSIS

Application Number: 16057931
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2020-02
Patent Classification: ["null", "null"]

Abstract:
Eye tracking across multiple displays is supported with re-definition of a gaze vector matrix that correlates a surface of a first display with detected eye gazes as inputs to an information handling system to include a surface of a second display. Eye gazes that correlate to the second display are mapped to the redefined gaze vector matrix, such as with a calibration performed by a user or an estimate derived from tracked eye gazes. The information handling system applies a map of display surface areas to the gaze vector matrix to sort reported eye gazes as at a location of the first display surface, a location of the second display surface or discarded as outside of either display surface.

Claim (Index 9):
A method for tracking eye gaze at first and second displays, the method comprising:\n tracking eye gaze at the first display with a single eye tracking device coupled to the first display; reporting gaze points from the first display that fall within a gaze vector matrix corresponding with the first display surface; adjusting the gaze vector matrix to correspond with the first display surface and a second display surface of a second display, the second display surface spaced apart and separate from the first display surface; reporting gaze points from the single eye tracking device that fall within the adjusted gaze vector; and applying the gaze points as inputs to the first display that correspond to the first display surface and as inputs to the second display that correspond to the second display surface.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 96.0
- Lexical Diversity: 2.10169
- Patent Class: nan
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14162727', '15387024', '13215365', '15335634', '11864384']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5639460083233638
- 35 USC 102 Novelty (BERT): 0.4656045261058723
- Combined Prediction Score: 0.5541118601016147
- Mean Citation Score: 186.257046
- Max Citation Score: 191.40067
- Similarity Product: 148.66190812217232

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test