PATENT CLAIM ANALYSIS

Application Number: 16181296
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["345", "173000"]

Abstract:
Some embodiments of the invention provide a novel method for recognizing characters that are input through touch strokes on a touch-sensitive sensor (e.g., a touch-sensitive display screen or a touch-sensitive surface) of a device (e.g., a mobile device, a remote control, a trackpad, etc.). In some embodiments, the sensor has a space-constrained area for receiving the touch input. In some embodiments, the method places no limitations on where the user can write in the space provided by the device. As such, successive characters might not follow each other in the space. In fact, later characters might overlap earlier characters or they might appear before earlier characters.

Claim (Index 23):
The method of  claim 22 , wherein generating the input character comprises:\n determining that the touch input follows within a threshold amount of time a previous touch input that was used to generate another input character; and based on the determination, providing the detected touch input from both outside and inside of the constrained writing region to a character recognizing engine to translate the touch input from both outside and inside of the constrained writing region to the input character.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 98.0
- Lexical Diversity: 1.82353
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15264040', '10374482', '14760236', '14109001', '14341717']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6251101445085449
- 35 USC 102 Novelty (BERT): 0.5714561929294842
- Combined Prediction Score: 0.6197447493506387
- Mean Citation Score: 263.435632
- Max Citation Score: 450.50558
- Similarity Product: 376.0763140419412

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