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 1):
An electronic device configured to process audible expressions from users, comprising:\n a network interface; at least one computing device; and computer readable memory including instructions operable to be executed by the at least one computing device to perform a set of actions, configuring the at least one computing device to:\n receive in real time, over a network via the network interface, a digitized human vocal expression of a first user and one or more digital images from a remote device; \n process the received digitized human vocal expression using digital signal processing to convert the digitized audible expression from a time domain to a frequency domain; use the processed digitized human vocal expression to determine characteristics of the human vocal expression, including:\n determine, using a volume analysis module a volume of the human vocal expression, \n determine, using a rapidity analysis module how rapidly the first user is speaking in the human vocal expression, \n determine, using a vocal tract analysis module, a magnitude spectrum of the human vocal expression, and \n identify, using a non-speech analysis module, pauses and the length of pauses in speech in the human vocal expression; \n use a natural language module to convert audible speech in the human vocal expression to text and to understand audible speech in the human vocal expression; \n compare the determined characteristics of the human vocal expression with baseline, historical characteristics of human vocal expressions associated with the first user to identify changes in human vocal expression characteristics of the first user; process the received one or more images to detect characteristics of the first user face, including determining the presence of: a sagging lip, a crooked smile, uneven eyebrows, or facial droop; compare the detected characteristics of the first user face with baseline, historical characteristics of the first user face accessed from a data store, and identify changes in characteristics of the first user face; weight, using a first weight, a first identified change with respect to a first vocal expression characteristic of the first user; weight, using a second weight, a second identified change with respect to a second vocal expression characteristic of the first user; weight, using a third weight, a third identified change with respect to a first characteristic of the first user face; weight, using a fourth weight, a fourth identified change with respect to a second characteristic of the first user face; inferring a change in health status of the first user using the weighted first identified change with respect to the first vocal expression characteristic of the first user, the weighted second identified change with respect to the second vocal expression characteristic of the first user, the weighted third identified change with respect to the first characteristic of the first user face, the weighted fourth identified change with respect to the second characteristic of the first user face; based at least in part on the inferred change in health status of the first user determine if a vehicle is to be deployed to the first user; and at least partly in response to a determination that a vehicle is to be deployed to the first user, enable a vehicle to be deployed to a location of the first user.

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): 0.3039563663870208
- 35 USC 102 Novelty (BERT): 0.5640401348218685
- Combined Prediction Score: 0.3299647432305055
- Mean Citation Score: 238.03265600000003
- Max Citation Score: 434.92484
- Similarity Product: 407.7431003651643

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