PATENT CLAIM ANALYSIS

Application Number: 16102099
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-01
Patent Classification: ["345", "174000"]

Abstract:
Various embodiments of the present technology may comprise methods and apparatus for increased sensitivity of a capacitive proximity sensor. The method and apparatus may comprise additional external capacitors coupled in parallel with internal variable capacitors to increase the effective capacitance of a detection circuit allowing for a larger sensing element, and therefore a stronger sensing field, without increasing the applied voltage or the internal capacitance of the proximity sensor. In alternative embodiments, the methods and apparatus may be configured to operate as one of a transmission electrode and a reception electrode to increase the strength of the sensing field.

Claim (Index 7):
A capacitive sensor, comprising:\n a detection circuit configured to detect a change in capacitance; and a sensing element connected to the detection circuit, comprising:\n a first electrode and a second electrode, wherein the first and second electrodes form a sensing capacitor; \n a reference capacitor, wherein the reference capacitor has a fixed capacitance; \n a first external capacitor connected in series with the sensing capacitor; \n a first node, located between the first external capacitor and the sensing capacitor, connected to the detection circuit; \n a second external capacitor connected in series with the reference capacitor; and \n a second node, located between the second external capacitor and the reference capacitor, connected to the detection circuit.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 96.0
- Lexical Diversity: 1.75
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15283872', '15284021', '15283970', '15876417', '14038554']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6339128047955969
- 35 USC 102 Novelty (BERT): 0.5521556503061442
- Combined Prediction Score: 0.6257370893466516
- Mean Citation Score: 308.946392
- Max Citation Score: 400.28333
- Similarity Product: 383.6506348967385

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