PATENT CLAIM ANALYSIS

Application Number: 15886562
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["345", "173000"]

Abstract:
Techniques enabling improved classification of objects against a touch sensitive surface of a touch sensitive device are presented. An object classification component can analyze touch screen data associated with a touch sensitive surface associated with a device and motion information relating to motion along at least one axis associated with the device. The object classification component can determine a contact classification for an object with respect to the touch sensitive surface, based on a result(s) of the analyzing, and in response to determining a contact state of the object with respect to the touch sensitive surface. An event determination component can control a function associated with the touch sensitive surface based on the contact classification for the object, the function comprising enabling or disabling a touch sensitive function of the touch sensitive surface of a display screen of the device or switching the display screen on or off.

Claim (Index 19):
The system of  claim 14 , wherein the object classification component receives the motion information from at least one of an accelerometer, a gyroscope, an inertial measurement unit, or a sensor.

Metadata:
- Claim Count in Document: 74.0
- Percentile: 88.0
- Lexical Diversity: 2.50794
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14834434', '12795633', '13315739', '13654374', '15256551']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6316380584531538
- 35 USC 102 Novelty (BERT): 0.4919892110561322
- Combined Prediction Score: 0.6176731737134517
- Mean Citation Score: 183.54649
- Max Citation Score: 191.12128
- Similarity Product: 111.9871299420166

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

Dataset: test