PATENT CLAIM ANALYSIS

Application Number: 15862127
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["345", "173000"]

Abstract:
The inertia system provides a common platform and application-programming interface (API) for applications to extend the input received from various multi-touch hardware devices to simulate real-world behavior of application objects. To move naturally, application objects should exhibit physical characteristics such as elasticity and deceleration. When a user lifts all contacts from an object, the inertia system provides additional manipulation events to the application so that the application can handle the events as if the user was still moving the object with touch. The inertia system generates the events based on a simulation of the behavior of the objects. If the user moves an object into another object, the inertia system simulates the boundary characteristics of the objects. Thus, the inertia system provides more realistic movement for application objects manipulated using multi-touch hardware and the API provides a consistent feel to manipulations across applications.

Claim (Index 3):
A method according to  claim 1 , wherein the input device comprises a touch sensitive surface, wherein input points comprise respective identifiers and timestamps, each identifier identifying a corresponding input point, wherein the input points correspond to contacts of digits with the touch sensitive surface, wherein inputs inputted by a same input point respectively comprise a same identifier of the same input point, and wherein the manipulation processor uses the identifiers and the timestamps to derive the geometric transforms.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 1.84524
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14884770', '15411617', '13919957', '12258439', '12258437']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6675987474718968
- 35 USC 102 Novelty (BERT): 0.5470234449214727
- Combined Prediction Score: 0.6555412172168544
- Mean Citation Score: 324.088686
- Max Citation Score: 386.64728
- Similarity Product: 350.02635192011843

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