Aetna‘s patent involves a user device that determines sickness by analyzing facial images and voice recordings of individuals. The device uses machine learning datasets and baseline health models to provide prompt indications of sickness. GlobalData’s report on Aetna gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Aetna, was a key innovation area identified from patents. Aetna's grant share as of February 2024 was 40%. Grant share is based on the ratio of number of grants to total number of patents.

Health monitoring device using facial and voice recognition

Source: United States Patent and Trademark Office (USPTO). Credit: Aetna Inc

A recently granted patent (Publication Number: US11869641B2) discloses a user device equipped with processors and a computer-readable medium storing processor-executable instructions. These instructions enable the device to receive sensor information from a wearable device about an individual's health characteristics, create a baseline health model, capture a facial image and voice recording, determine sickness using facial and voice recognition confidence values, and display prompts indicating the individual's health status. The device can also be personalized for the individual by training the facial and voice recognition datasets with multiple images and recordings.

Furthermore, the patent describes a system comprising a health characteristic device and a user device. The health characteristic device collects current sensor information about an individual's health and shares it with the user device. The user device, equipped with processors and instructions, processes the facial image, voice recording, and current sensor information to determine the individual's health status. By comparing the current sensor information with a baseline health model and updating it with new data, the system can provide accurate insights into the individual's health condition, including oxygen levels, temperature readings, pulse rates, and humidity values. Additionally, the system can prompt user feedback for updating the health model and share information with an enterprise computing system, including geographical coordinates if the individual is deemed sick.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.