PATENT CLAIM ANALYSIS

Application Number: 15989063
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["345", "174000"]

Abstract:
Acoustic touch and/or force sensing system architectures and methods for acoustic touch and/or force sensing can be used to detect a position of an object touching a surface and an amount of force applied to the surface by the object. The position and/or an applied force can be determined using time-of-flight (TOF) techniques, for example. Acoustic touch sensing can utilize transducers (e.g., piezoelectric) to simultaneously transmit ultrasonic waves along a surface and through a thickness of a deformable material. The location of the object and the applied force can be determined based on the amount of time elapsing between the transmission of the waves and receipt of the reflected waves. In some examples, an acoustic touch sensing system can be insensitive to water contact on the device surface, and thus acoustic touch sensing can be used for touch sensing in devices that may become wet or fully submerged in water.

Claim (Index 5):
The device of  claim 3 , wherein the one or more transducers comprises at least a second transducer coupled between the deformable material and the rigid material and configured to receive the ultrasonic wave transmitted through the thickness of the deformable material.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 93.0
- Lexical Diversity: 2.11688
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14514308', '14055797', '13012513', '15274295', '12184232']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6377881828755677
- 35 USC 102 Novelty (BERT): 0.5035539802572377
- Combined Prediction Score: 0.6243647626137347
- Mean Citation Score: 220.997258
- Max Citation Score: 227.18779
- Similarity Product: 157.67313477384866

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

Dataset: test