Predicting health or disease from user captured images or videos
A method can include capturing an image, images, or a video of a user with the image, images or video capturing system of an exercise device and detecting a health or disease indicator from the images or video. An apparatus includes a camera, a processor, and computer readable medium containing programming instructions that, when executed, will cause the processor to use a machine learning model and one or more images or videos of a subject captured by the camera to detect a health or disease indicator.
1. A method of predicting health or disease risk, comprising:
capturing an image of a user with an image capturing system integrated into a dual use electronic device;
estimating body dimensions and body composition of the user from the captured image;
capturing a vital sign of the user via the camera; and
analyzing the estimated body dimension, composition, and the captured vital sign to detect a health indicator or a disease indicator.
2. The method of claim 1 , wherein a machine learning network is used to detect the health or disease indicator.
3. The method of claim 1 , wherein the image capturing system includes a camera configured to capture the image of the user while the user is interacting with the dual use electronic device.
4. The method of claim 3 , wherein capturing the image includes capturing multiple images in video format.
5. The method of claim 1 , wherein the dual use electronic device includes a display system having a display screen.
6. The method of claim 1 , further comprising recommending a lifestyle change based on the detected health or disease indicator.
7. The method of claim 1 , wherein the dual use electronic device includes a reflective portion that displays a reflected image of the user.
8. The method of claim 1 , wherein the health or disease indicator includes a heart health indicator, a body composition, a body dimension, and a vital sign.
9. The method of claim 1 , wherein the health or disease indicator includes a stroke indicator.
10. The method of claim 1 , wherein the health or disease indicator includes an orthopedic abnormality indicator, a chronic disease indicator, a chronic disease risk parameter, or a comorbidity indicator.
11. An apparatus comprising:
a camera;
a processor; and
a computer readable medium containing programming instructions that, when executed, will cause the processor to:
analyze an image captured by the camera;
estimate a user body dimensions and composition from the captured image;
capture a vital sign of the user via the camera; and
use a machine learning model and to analyze the estimated body dimension, composition, and vital sign to detect a health or disease indicator.
12. The apparatus of claim 11 , wherein the programming instructions, when executed, will further cause the processor to predict a health or disease based on the detected health or disease indicator.
13. The apparatus of claim 11 , further comprising a display portion.
14. The apparatus of claim 13 , wherein the display portion comprises a reflective portion.
15. The apparatus of claim 11 , further comprising one of an exercise device, an appliance, a home entertainment device, or an automobile.
16. The apparatus of claim 11 , wherein the health or disease indicator includes a stroke indicator or a heart health indicator or a disease indicator.
17. A method of detecting health or disease indicators, comprising:
providing a device, the device comprising:
an image capturing system; and
a processor;
capturing an image of a user with the image capturing system of the device; and
executing programming instructions contained on computer readable medium to cause the processor to:
estimate body dimensions and body composition of the user from the captured image;
capture a vital sign of the user via the camera; and
analyze the estimated body dimension, composition, and the captured vital sign to detect a health indicator or a disease indicator.
18. The method of claim 17 , wherein capturing the image includes capturing multiple images in video format.
19. The method of claim 17 , wherein the device further comprises a display portion.
20. The method of claim 17 , wherein the device comprises one of an exercise device, an appliance, a home entertainment device, or an automobile.