PATENT CLAIM ANALYSIS

Application Number: 16516037
Application Type: Utility
Filing Date: 2019-07
Publication Date: 2019-11
Patent Classification: ["345", "174000"]

Abstract:
Touch sensor panel configurations and methods for improving touch sensitivity of some or all of the electrodes or portions of the touch sensor panel are disclosed. The touch sensor panel configurations can allow increased speed at which the panel can operate. In some examples, the performance of a given touch electrode can differ from the performance of another touch electrode due to differences in capacitance and/or resistance. The performance of the touch sensor panel can be limited by the touch electrode with the lowest performance relative to the other touch electrodes. The configurations and methods can increase the performance of the touch sensor panel by minimizing the capacitive coupling and/or resistance of touch electrodes. Examples of the disclosure can provide configurations of touch sensor panels and methods for improving optical uniformity of the panel.

Claim (Index 5):
The touch sensor panel of  claim 1 , wherein:\n a second dummy trace, different from the first dummy trace, of the one or more dummy traces includes a fourth section located between the second touch electrode and a third touch electrode, adjacent to the second touch electrode, of the first set of touch electrodes.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 100.0
- Lexical Diversity: 2.27419
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15829763', '15691283', '16144911', '15228942', '15713361']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7190730759242471
- 35 USC 102 Novelty (BERT): 0.5449116863873475
- Combined Prediction Score: 0.7016569369705571
- Mean Citation Score: 307.88721400000014
- Max Citation Score: 402.2598
- Similarity Product: 286.7876922336459

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