PATENT CLAIM ANALYSIS

Application Number: 16056180
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["345", "173000"]

Abstract:
A channel scan architecture for detecting touch events on a touch sensor panel is disclosed. The channel scan architecture can combine drive logic, sense channels and channel scan logic on a single monolithic chip. The channel scan logic can be configured to implement a sequence of scanning processes in a panel subsystem without intervention from a panel processor. The channel scan architecture can provide scan sequence control to enable the panel processor to control the sequence in which individual scans are implemented in the panel subsystem. Type of scans that can be implemented in the panel subsystem can include a spectral analysis scan, touch scan, phantom touch scan, ambient light level scan, proximity scan and temperature scan.

Claim (Index 20):
The method of  claim 11 , wherein the plurality of different types of scans comprises a spectral analysis scan, a proximity scan and a multi-stimulation touch scan, wherein the multi-stimulation touch scan is performed when results of the proximity scan indicate an object within a threshold distance of the touch sensor panel, wherein the multi-stimulation touch scan is performed at a frequency determined from results of the spectral analysis scan.

Metadata:
- Claim Count in Document: 22.0
- Percentile: 96.0
- Lexical Diversity: 2.08197
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15158461', '12208315', '14205125', '15250736', '14448893']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7247468106051345
- 35 USC 102 Novelty (BERT): 0.5831047596060591
- Combined Prediction Score: 0.7105826055052269
- Mean Citation Score: 332.65009
- Max Citation Score: 461.3584
- Similarity Product: 367.677753931427

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