PATENT CLAIM ANALYSIS

Application Number: 15885077
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-08
Patent Classification: ["704", "008000"]

Abstract:
One general aspect includes a method including: obtaining, via a sensor, a wake-up-word from a user; obtaining, via a memory, wake-up-word language data pertaining to the respective language of the wake-up-word; identifying, via a processor, the language of the wake-up-word; identifying a selected voice assistant, from the plurality of different voice assistants, having language skills that are most appropriate for the wake-up-word, based on the wake-up-word language data; and facilitating communication with the selected voice assistant to provide assistance in the language in accordance with the wake-up-word. Other embodiments of this aspect include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods.

Claim (Index 15):
The system of  claim 10 , wherein the Wake-Up-Word is part of a user input that subsequently comprises one or more requests; and\n the processor is further configured to at least facilitate obtaining, via one or more additional sensors, vehicle system information from one or more vehicle systems based on the one or more requests, so as to enable the user to control the one or more vehicle systems.

Metadata:
- Claim Count in Document: 48.0
- Percentile: 86.0
- Lexical Diversity: 1.94286
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15294234', '15676176', '15875996', '15854880', '15812679']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2684101142619532
- 35 USC 102 Novelty (BERT): 0.4824597048907542
- Combined Prediction Score: 0.2898150733248333
- Mean Citation Score: 162.31665800000005
- Max Citation Score: 183.91888
- Similarity Product: 130.56443344795224

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

Dataset: test