PATENT CLAIM ANALYSIS

Application Number: 15866417
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-06
Patent Classification: ["345", "173000"]

Abstract:
The subject technology provides for receiving touch inputs from a touch-input system. The subject technology generates script-callbacks from the touch inputs in which each of the script-callbacks includes properties related to an activity at a contact point of a touch-sensing surface of the touch-input system. The subject technology converts the script-callbacks into compliant touch events that are compliant with a multi-touch browser standard in which each of the compliant touch events comprises data related to the activity at the contact point of the touch-sensing surface of the touch-input system. The subject technology sends the compliant touch events to an application.

Claim (Index 11):
A browser system that supports multi-touch events, the browser system comprising:\n an application programming interface (API) device configured to receive touch inputs from a touch-input system and generate script-callbacks from the touch inputs, wherein each of the script-callbacks includes properties related to an activity at a contact point of a touch-sensing surface of the touch-input system; and a multi-touch enabler configured to convert the script-callbacks into compliant touch events that are compliant with a multi-touch browser standard and send the compliant touch events to an application, wherein each of the compliant touch events comprises data related to the activity at the contact point of the touch-sensing surface of the touch-input system.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 2.31111
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13415619', '13436877', '12042237', '11248981', '13464800']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5994066252009882
- 35 USC 102 Novelty (BERT): 0.5278516941155875
- Combined Prediction Score: 0.5922511320924482
- Mean Citation Score: 165.4384532
- Max Citation Score: 356.41248
- Similarity Product: 303.54068537693024

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