PATENT CLAIM ANALYSIS

Application Number: 15937050
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-08
Patent Classification: ["324", "663000"]

Abstract:
A stretchable capacitance sensor having multiple components for communicating signals to a data acquisition system for reconstructing an image of an area or object located in a subject being sensed, and for calculating the shape or conformity that it is in. The stretchable sensor consists of an inner layer of plates that provide the capacitance data, a middle layer of plates that provide the geometry-sensing data, and an outer layer of plates that serves as the shielding ground layer. The configuration of all three components can be variably changed to increase the capacitance data channels, increase or decrease flexibility and stretchability of the sensor, and increase the spatial resolution of the geometry sensing feature. The sensor is adapted to communicate signals to a data acquisition system for providing an image of the area or object between the capacitance plates.

Claim (Index 12):
A stretchable sensor apparatus comprising:\n a substrate comprising: a plurality of first portions, each first portion having a first and second side, a plurality of second portions, each second portion having a first and second side, and wherein the substrate is adapted to be stretched around objects of various diameters and shapes; a plurality of capacitance plates, each of the capacitance plates attached to one of the plurality of first portions; a plurality of geometry sensing plates attached to the sensor apparatus and wherein the plurality of geometry sensing plates are adapted to detect signals for determining the shape of the volume the sensor is placed around.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 90.0
- Lexical Diversity: 2.08451
- Patent Class: 324.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15152031', '14746329', '13965636', '15591224', '14191574']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.563070074958799
- 35 USC 102 Novelty (BERT): 0.5555886980174454
- Combined Prediction Score: 0.5623219372646636
- Mean Citation Score: 325.249296
- Max Citation Score: 433.51437
- Similarity Product: 360.07632230456835

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test