PATENT CLAIM ANALYSIS

Application Number: 15939275
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-11
Patent Classification: ["348", "053000"]

Abstract:
The disclosure proposes a head-mounted display system, a method for adaptively adjusting a hidden area mask, and a computer program product. The method includes: displaying a plurality of first content to an eye of a wearer of the head mounted display system, wherein the first content is masked by a first hidden area mask; capturing a plurality of first eye images of the eye and obtaining an eyesight of the eye based on the first eye images; adjusting the first hidden area mask to be a second hidden area mask based on the eyesight of the eye; and displaying a second content to the eye, wherein the second content is masked by the second hidden area mask.

Claim (Index 7):
The head-mounted display system according to  claim 6 , wherein if the similarity is not higher than the threshold, the processor is further configured to:\n control the image capturing device to capture a plurality of second eye images of the eye while the display displaying the second content; update the eyesight of the eye based on the second eye images; adjust the second hidden area mask to be a third hidden area mask based on the updated eyesight of the eye; and control the display to display a third content to the eye, wherein the third content are masked by the third hidden area mask.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 90.0
- Lexical Diversity: 2.70213
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14628585', '15178978', '13466571', '15880020', '13302916']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6499098912389808
- 35 USC 102 Novelty (BERT): 0.4808305685572981
- Combined Prediction Score: 0.6330019589708125
- Mean Citation Score: 162.660002
- Max Citation Score: 172.83887
- Similarity Product: 122.19972136883496

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

Dataset: test