PATENT CLAIM ANALYSIS

Application Number: 16410333
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-08
Patent Classification: ["382", "118000"]

Abstract:
In some embodiments, the present invention provides for an exemplary system that may include at least the following components: a camera component, where the camera component is configured to acquire a visual input, where the visual input includes a face of a person; a processor configured to: obtain the visual input; apply a face detection algorithm to detect a presence of the face within the visual input; extract a vector of at least one feature of the face; match the vector to a stored profile of the person to identify the person; fit, based on person-specific meta-parameters, a three-dimensional morphable face model (3DMFM) to obtain a person-specific 3DMFM of the one person; apply a facial expression detection algorithm to the person-specific 3DMFM to determine a person-specific facial expression; and cause to perform at least one activity associated with the person based at least in part on the person-specific facial expression of the person.

Claim (Index 6):
A system, comprising:\n a camera component, wherein the camera component is configured to acquire a visual input, wherein the visual input comprises a face of at least one person; at least one processor; a non-transitory computer memory, storing a computer program that, when executed by the at least one processor, causes the at least one processor to:\n obtain the visual input having the face of the at least one person; \n wherein the visual input comprises at least one video frame, at least one image, or both; \n apply at least one face detection algorithm to detect a presence of the face of the at least one person within the visual input; \n extract a vector of at least one feature of the face of the at least one person from the presence of the face within the visual input; \n match the vector of the at least one feature of the face of the at least one person to at least one stored profile of the at least one person to identify the at least one person; \n wherein the at least one stored profile of the at least one person is stored in at least one profile database having a plurality of profiles of a plurality of persons; \n wherein each respective profile of each respective person in the at least one profile database comprises each respective plurality of vectors corresponding to each respective plurality of features; \n fit, based at least in part on a plurality of person-specific meta-parameters, at least one three-dimensional morphable face model (3DMFM) to obtain a person-specific 3DMFM of the at least one person; \n wherein the plurality of person-specific meta-parameters corresponds to a particular plurality of vectors corresponding to a particular plurality of features of the at least one person; and \n apply at least one facial expression detection algorithm to the person-specific 3DMFM of the at least one person to determine at least one person-specific facial expression of the at least one person.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 100.0
- Lexical Diversity: 2.2973
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16119056', '15956450', '15962347', '12154002', '13795882']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2686110024409704
- 35 USC 102 Novelty (BERT): 0.5053204932879899
- Combined Prediction Score: 0.2922819515256724
- Mean Citation Score: 174.05043999999995
- Max Citation Score: 299.9207
- Similarity Product: 297.0047832508146

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

Dataset: test