FR3125407A1 - PREDICTION OF AGING TREATMENT RESULTS BASED ON AGEOTYPE - Google Patents

Abstract

Predicting Aging Treatment Outcomes Based on Age Type In some embodiments, a method of determining a personalized skin care recommendation is provided. A computer system receives data representing a subject's face. The computer system determines features based on the data representing the subject's face. The computer system provides the particulars to an ageotype classifier to generate an ageotype for the subject and their predicted aging trajectory. The computer system generates the personalized skincare recommendation based at least on the predicted aging trajectory of a given ageotype, and may take into account lifestyle, exposome data, biological data and/or other data relevant to the subject.

Description

PREDICTION OF AGING TREATMENT RESULTS BASED ON AGEOTYPE

The present invention relates to a method of determining a personalized skincare recommendation, the method comprising:

the receipt, by a computer system, of data representing a face of a subject;

determining, by the computer system, features based on the data representing the face of the subject;

providing, by the computer system, the features to an ageotype classifier to generate a predicted ageotype for the subject; And

generating, by the computer system, the personalized skincare recommendation based on at least the predicted ageotype.

According to embodiments of the invention, the method comprises one or more of the following characteristics, taken in isolation or in all technically possible combinations:

- the data-based features representing the subject's face include one or more of facial structure, complexion, and facial movement;

- the method further comprises collecting, by the computer system, at least one of exposome information and main spoken language information;

wherein providing the features to the ageotype classifier to generate a predicted ageotype for the subject comprises providing at least one of the exposome information and the primary spoken language information to the ageotype classifier along with the features ;

- the data representing the face of a subject is a self-portrait photo, a self-portrait video, a three-dimensional scan, a video of the subject collected during a video consultation, or an image obtained by a photo booth skin analyzer;

- the method further comprises:

the computer system presenting one or more prompts to guide the collection of data representing the subject's face;

- the presentation of the one or more prompts to guide the collection of data representing the subject's face includes one or more of:

presenting a prompt to make the subject smile;

presenting a prompt to make the subject frown; And

presenting a prompt for the subject to pronounce the letter O;

- the method further comprises:

the computer system presenting one or more prompts to guide the collection of close-up images of indicated skin areas of the subject.

- the presentation of one or more prompts to guide the collection of close-up images of indicated skin areas of the subject includes one or more of:

presenting a prompt to collect a close-up image of an area of the forehead;

presenting a prompt to collect a close-up image of an area of the cheek;

presenting a prompt to collect a close-up image of an area of the chin; And

presenting a prompt to collect a close-up image of an area of the cleavage;

- the method further comprises determining, by the computer system, a predicted clinical sign of aging based on the predicted ageotype;

wherein generating the personalized skin care recommendation based on at least the predicted ageotype includes generating the personalized skin care recommendation to address the predicted clinical sign of aging; And

- the predicted ageotype indicates the presence or absence of age-related inflammation.

DESCRIPTION OF DRAWINGS

The foregoing aspects and many related advantages of the present invention will be more readily appreciated as they are better understood by reference to the following detailed description, taken in conjunction with the accompanying drawings, in which:

There is a block diagram that illustrates aspects of an exemplary non-limiting embodiment of a skin care personalization computer system according to various aspects of the present disclosure.

There illustrates a method 200 in accordance with an exemplary non-limiting embodiment of the present disclosure.

[Fig. 3A-3E] Figures 3A-3E illustrate exemplary non-limiting embodiments of prompts presented according to various aspects of the present disclosure.

There illustrates a method 400 according to an exemplary non-limiting embodiment of the present disclosure.

There is a block diagram that illustrates an exemplary non-limiting embodiment of a computing device suitable for use as a computing device with embodiments of the present disclosure.

Claims (10)

A method of determining a personalized skin care recommendation, the method comprising:
receiving, by a computer system, data representing a face of a subject;
determining, by the computer system, features based on the data representing the face of the subject;
providing, by the computer system, the features to an ageotype classifier to generate a predicted ageotype for the subject; And
generating, by the computer system, the personalized skin care recommendation based at least on the predicted ageotype. The method of claim 1, wherein the data-based features representing the subject's face include one or more of facial structure, complexion, and facial movement. A method according to claim 1, further comprising collecting, by the computer system, at least one of exposome information and primary spoken language information;
wherein providing the features to the ageotype classifier to generate a predicted ageotype for the subject comprises providing at least one of the exposome information and the primary spoken language information to the ageotype classifier along with the features . A method according to claim 1, wherein the data representing a subject's face is a self-portrait photo, self-portrait video, three-dimensional scan, video of the subject collected during video viewing, or an image obtained by a photo booth skin analyzer. A method according to claim 1, further comprising:
presenting, by the computer system, one or more prompts to guide the collection of data representing the face of the subject. The method of claim 5, wherein presenting the one or more prompts to guide collection of data representing the subject's face includes one or more of:
presenting a prompt for the subject to smile;
presenting a prompt for the subject to frown; And
presenting a prompt for the subject to pronounce the letter O. A method according to claim 5, further comprising:
presenting, by the computer system, one or more prompts to guide the collection of close-up images of indicated skin areas of the subject. The method of claim 7, wherein presenting one or more prompts to guide the collection of close-up images of indicated skin areas of the subject includes one or more of:
presenting a prompt to collect a close-up image of an area of the forehead;
presenting a prompt to collect a close-up image of an area of the cheek;
presenting a prompt to collect a close-up image of an area of the chin; And
presenting a prompt to collect a close-up image of an area of the cleavage. The method of claim 1, further comprising determining, by the computer system, a predicted clinical sign of aging based on the predicted ageotype;
wherein generating the personalized skin care recommendation based on at least the predicted ageotype includes generating the personalized skin care recommendation to address the predicted clinical sign of aging. A method according to claim 1, wherein the predicted ageotype indicates the presence or absence of age-related inflammation.