PATENT CLAIM ANALYSIS

Application Number: 16059548
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["307", "116000"]

Abstract:
A proximity switch assembly and method are provided having wrong touch feedback and adaptive learning. The method includes the steps of detecting multiple attempted activations of a proximity switch that is not allowed, and adjusting one or more settings based on the detected multiple attempted activations to provide adaptive learning. The method also includes the steps of detecting an allowed activation of the proximity switch based on the adjusted one or more settings, and performing an action in response to the detected allowed activation. The proximity switch assembly includes one or more user perceived feedback devices for generating user perceived feedback when an attempted activation that is not allowed is detected.

Claim (Index 11):
A proximity switch assembly comprising:\n one or more proximity switches; and control circuitry processing an activation field associated with each proximity switch to detect an allowed activation of a proximity switch, said control circuitry further detecting repeated attempts to activate a proximity switch that does not result in activation and adjusting one or more settings based on the attempted activations to provide adaptive learning.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 96.0
- Lexical Diversity: 2.16667
- Patent Class: 307.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14635140', '13288549', '14661325', '14168614', '13444393']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7952626648970306
- 35 USC 102 Novelty (BERT): 0.5171536542476489
- Combined Prediction Score: 0.7674517638320923
- Mean Citation Score: 230.327008
- Max Citation Score: 337.0009
- Similarity Product: 311.8374388833582

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