PATENT CLAIM ANALYSIS

Application Number: 15999160
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-01
Patent Classification: ["345", "419000"]

Abstract:
Embodiments of the present disclosure relate to continuous and/or binocular time warping methods to account for head movement of the user without having to re-render a displayed image. Continuous time warping allows for transformation of an image from a first perspective to a second perspective of the viewer without having to re-render the image from the second perspective. Binocular time warp refers to the late-frame time warp used in connection with a display device including a left display unit for the left eye and a right display unit for the right eye where the late-frame time warp is performed separately for the left display unit and the right display unit. Warped images are sent to the left and the right display units where photons are generated and emitted toward respective eyes of the viewer, thereby displaying an image on the left and the right display units at the same time.

Claim (Index 10):
The method of  claim 5 , further comprising:\n displaying the updated first image frame on the first display of the binocular near-eye display device, and displaying the updated second image frame on the second display of the binocular near-eye display device, wherein the updated first image frame is displayed before the update second image frame.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 96.0
- Lexical Diversity: 2.1831
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15686885', '15018941', '15374165', '15683613', '15683677']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6290945176463765
- 35 USC 102 Novelty (BERT): 0.5865433747330346
- Combined Prediction Score: 0.6248394033550424
- Mean Citation Score: 272.629996
- Max Citation Score: 560.1911
- Similarity Product: 403.0536929292858

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