PATENT CLAIM ANALYSIS

Application Number: 16004127
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["704", "275000"]

Abstract:
A simple affirmative response operating system is disclosed for selecting a data item from a list of options using a unique affirmative action. Text-based labels in a listing of content are converted to speech using an embedded text-to-speech engine and an audio output of a first converted label is provided. A listening state is entered into for a predefined pause time to await receipt of the simple affirmative action. If the simple affirmative action is performed during the predefined pause time, an associated content item is selected for output. If the simple affirmative action is not performed during the predefined pause time, an audio output of a next converted label in the list is provided. This protocol may be used to control a variety of computing devices safely and efficiently while a user is distracted or disabled from using traditional input methods.

Claim (Index 11):
The method of  claim 10 , further comprising:\n storing an identification of a unique, system-wide, and context-independent pause-initiation action; and responsive to determining that the pause-initiation action has been performed during a pause of a list-pause, terminating repetition of list-pauses and entering a wait-pause mode.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 94.0
- Lexical Diversity: 1.94805
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15441742', '15204981', '13723026', '14642365', '15715695']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2333090828631825
- 35 USC 102 Novelty (BERT): 0.5264848205226189
- Combined Prediction Score: 0.2626266566291261
- Mean Citation Score: 223.175184
- Max Citation Score: 330.2045
- Similarity Product: 241.00693623256683

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

Dataset: test