PATENT CLAIM ANALYSIS

Application Number: 16247917
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["382", "124000"]

Abstract:
In accordance with various embodiments, the disclosed subject matter provides a mutual-capacitance touch sensing pattern recognition device, a related fabricating method, a related display panel, and a related display apparatus. The mutual-capacitance touch sensing pattern recognition device can comprise a plurality of sensing electrode lines and a plurality of driving electrode lines, wherein at least one set of the plurality of sensing electrode lines and the plurality of driving electrode lines have curved portions.

Claim (Index 35):
The mutual-capacitance touch sensing pattern recognition device of  claim 29 :\n wherein the first touch electrode layer and the second touch electrode layer are insulated from each other; the plurality of first touch electrodes and the plurality of second touch electrodes intersect with each other thereby forming a plurality of intersections; the mutual-capacitance touch sensing pattern recognition device comprises a plurality of first vias at least partially extending into the first insulating layer, a respective one of the plurality of first vias being in a region between two adjacent intersections of the plurality of intersections; and a respective one of the plurality of first touch electrodes extends into multiple ones of the plurality of first vias thereby increasing mutual capacitance between the respective one of the plurality of first touch electrodes and an adjacent one of the plurality of second touch electrodes.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 99.0
- Lexical Diversity: 1.92857
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15122904', '15385238', '15629374', '15789852', '15176969']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3623180718456273
- 35 USC 102 Novelty (BERT): 0.5693888693866167
- Combined Prediction Score: 0.3830251515997263
- Mean Citation Score: 274.5302439999999
- Max Citation Score: 479.58267
- Similarity Product: 366.95208473481057

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