Dismiss
InnovationQ will be updated on Sunday, Oct. 22, from 10am ET - noon. You may experience brief service interruptions during that time.
Browse Prior Art Database

Image Based Real Time Health Diagnosis

IP.com Disclosure Number: IPCOM000246887D
Publication Date: 2016-Jul-12
Document File: 4 page(s) / 134K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed are a system and the associated methods that enable remote health monitoring and prediction of health, based upon the image contours and shapes visible on different parts of the body (e.g., face, etc.) of a given individual.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 47% of the total text.

Page 01 of 4

Image Based Real Time Health Diagnosis

Remote, real time health monitoring systems require the use of multiple sensors, which associate with the individual in multiple ways, including (but not limited to):

• Attaching to a person's body part (e.g., wrist bands) • Wearing smart textiles
• Contacting with an apparatus (e.g., chair)

Each sensor is specialized to monitor just one or two characteristics such as the heartbeat, core temperature, blood pressure, pulse, etc. These methods are not capable of performing a full body health diagnosis or predicting a person's health conditions based upon observed images of body parts (e.g., face) or the temporal evolution of the observed (recorded) body parts. Current systems cannot create predictive alerts for the next time to take images for repetition of the diagnosis or create alerts for determining any desirable health-image upload frequency.

The novel contribution is health-monitoring system that remotely performs a full body health diagnosis based on the individual's physical condition and records the health status using the images of various body parts.

The core novelty is a system and the associated methods that enable remote health monitoring and prediction of health, based upon the image contours and shapes visible on the different parts of body (e.g., face, etc.) of a given individual.

A person's heath is proactively monitored based on his/her image and the user is informed of the corresponding health keeping plan and medical treatment as well.

A current alerting subsystem is also disclosed, that, based on the person's present condition, determines a desirable frequency of sending notifications for the user to upload an image for further/subsequent diagnosis.

The full body health diagnosis is performed using a single source of information. This enables a real-time health diagnosis without installing a huge array of sensors. The novel health monitoring system observes the temporal evolution of the recorded body parts. An alerting subsystem, based on the person's present condition, determines a desirable frequency for sending notifications to upload the person's image for further/subsequent diagnosis. A predictive alerting subsystem, based on the evolution of visible/targeted body parts (e.g., the face) observed via images, can automatically create alerts for potential upcoming health issues, as well as dynamically update the desirable frequency of sending notifications to upload the person's image for further/subsequent diagnosis that is usually produced by the current alerting desirable health-image upload frequency.

The high-level steps for implementing the remote health-monitoring system follow:


1. Capture the recent image of an individual.

2. Store the image and the feedback from the user (if he/she has shared) in the

1


Page 02 of 4

database server.

3. Analyze the recent image in contrast of the last image of the user.

4. Perform health diagnosis of the individual based not...