PATENT CLAIM ANALYSIS

Application Number: 16013015
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["345", "174000"]

Abstract:
An apparatus, method and computer program product provide a simplified method for unlocking an electronic device that uses soft keys, such as capacitive touch keys, or proximity detection areas and patterns. The keys may be implemented in the form of areas of a sensor, and a processing circuit observes a touch pattern (or proximity pattern, or characteristic pattern such as a capacitance pattern of a user's finger) and compares the same with the registered pattern to determine if there is a likeness. In doing so, the electronic device is operated at a low power state, and in that low power state observes whether a predetermined pattern is observed and when it is, unlocks the electronic device for interaction with a user at a fully operational state. By operating in the low power state while waiting to observe a predetermined pattern before unlocking the user interface, the device does not waste power on false positive detections, and allows for convenient wakeup and accessibility by a user.

Claim (Index 2):
An electronic device comprising:\n a display; a first area and a second area related to the display; circuitry configured to\n detect user interaction with the second area; \n determine whether a detected user interaction with the second area corresponds to a predetermined touch event; and \n execute a display state change of the display when the detected user interaction with the second sensing area corresponds a predetermined touch event.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 94.0
- Lexical Diversity: 1.89583
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14608987', '15359357', '13359544', '15648134', '15833470']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6865344511802083
- 35 USC 102 Novelty (BERT): 0.5131123417571376
- Combined Prediction Score: 0.6691922402379011
- Mean Citation Score: 276.53044800000004
- Max Citation Score: 311.6846
- Similarity Product: 250.108037954843

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

Dataset: test