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 16):
The apparatus of  claim 15 , wherein the mirror object determination module comprises:\n a first determination unit configured to, in response to a determination that, according to the sight line information, a first gaze point and a second gaze point are distributed front and back in a sight line direction of the sight line directions, determine the mirror object is in a position passing through the first gaze point in the sight line direction, wherein two sight line starting points of two sight lines respectively comprising the first gaze point and the second gaze point are before the first gaze point, and wherein the second gaze point does not match a surface of an object.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 90.0
- Lexical Diversity: 2.06818
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15170105', '15170140', '15170076', '14888070', '14533018']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5959490754105987
- 35 USC 102 Novelty (BERT): 0.476070489874039
- Combined Prediction Score: 0.5839612168569427
- Mean Citation Score: 179.84521800000005
- Max Citation Score: 220.52026
- Similarity Product: 186.0864851014101

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