PATENT CLAIM ANALYSIS

Application Number: 15910105
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["345", "633000"]

Abstract:
An information processing method, an information processing apparatus and a user equipment are provided. A method comprises: acquiring sight line information of at least one user in a space; and determining, at least according to the sight line information, at least one mirror object existing in the space. Accordingly, a mirror object in a space is determined according to sight line information of at least one user, providing a basis for mirror-object-based applications, for example, modeling the mirror object.

Claim (Index 6):
The method of  claim 1 , wherein the determining, at least according to the sight line information, the at least one mirror object comprises:\n in response to a determination that, according to the sight line information, there is at least one set region in the space, determining that there is the at least one mirror object in the at least one set region; and wherein, for each sight line direction of the sight line directions towards a set region in the at least one set region:\n there is a first gaze point and a second gaze point distributed front and back, \n wherein the first gaze point is located in the set region, and \n wherein the second gaze point does not match a surface of an object behind the set region.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 90.0
- Lexical Diversity: 2.06818
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15170105', '15170140', '15170076', '14888070', '14533018']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6282722410679342
- 35 USC 102 Novelty (BERT): 0.460472471392264
- Combined Prediction Score: 0.6114922641003672
- Mean Citation Score: 179.84521800000005
- Max Citation Score: 220.52026
- Similarity Product: 219.7604692439353

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

Dataset: test