PATENT CLAIM ANALYSIS

Application Number: 16286986
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-08
Patent Classification: ["704", "235000"]

Abstract:
Systems and methods are disclosed. A digitized human vocal expression of a user and digital images are received over a network from a remote device. The digitized human vocal expression is processed to determine characteristics of the human vocal expression, including: pitch, volume, rapidity, a magnitude spectrum identify, and/or pauses in speech. Digital images are received and processed to detect characteristics of the user face, including detecting if one or more of the following is present: a sagging lip, a crooked smile, uneven eyebrows, and/or facial droop. Based at least on part on the human vocal expression characteristics and face characteristics, a determination is made as to what action is to be taken. A cepstrum pitch may be determined using an inverse Fourier transform of a logarithm of a spectrum of a human vocal expression signal. The volume may be determined using peak heights in a power spectrum of the human vocal expression.

Claim (Index 19):
The computer implemented method as defined in  claim 18 , the method further comprising:\n receiving one or more digital images from the first device; processing the received one or more images to detect characteristics of the first user face, including detecting if one or more of the following is present: a sagging lip, a crooked smile, uneven eyebrows, facial droop; wherein the first action is caused to be taken based in part on the detected characteristics of the first user face.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 99.0
- Lexical Diversity: 2.02353
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15908428', '16275132', '10061078', '10265468', '10485254']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3041208789348222
- 35 USC 102 Novelty (BERT): 0.5636761204842988
- Combined Prediction Score: 0.3300764030897699
- Mean Citation Score: 238.03265600000003
- Max Citation Score: 434.92484
- Similarity Product: 404.4555547178841

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