PATENT CLAIM ANALYSIS

Application Number: 16044114
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["704", "275000"]

Abstract:
A method and system are provided. The method includes receiving, by a microphone and camera, user utterances indicative of user commands and associated user gestures for the user utterances. The method further includes parsing, by a hardware-based recognizer, sample utterances and the user utterances into verb parts and noun parts. The method also includes recognizing, by a hardware-based recognizer, the user utterances and the associated user gestures based on the sample utterances and descriptions of associated supporting gestures for the sample utterances. The recognizing step includes comparing the verb parts and the noun parts from the user utterances individually and as pairs to the verb parts and the noun parts of the sample utterances. The method additionally includes selectively performing a given one of the user commands responsive to a recognition result.

Claim (Index 4):
The method of  claim 1 , further comprising a user command learning device for learning from multiple recognition sessions by acquiring user accepted examples and user rejected examples of the user utterances and the associated user gestures, and wherein the user command selective execution device selectively performs a given one of the user commands responsive to the user accepted examples and the user rejected examples.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 95.0
- Lexical Diversity: 2.66667
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14623233', '16044171', '14748296', '15718170', '12055952']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2891192938628065
- 35 USC 102 Novelty (BERT): 0.5504773077192033
- Combined Prediction Score: 0.3152550952484462
- Mean Citation Score: 308.47395
- Max Citation Score: 405.13022
- Similarity Product: 387.0303060058403

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

Dataset: test