Facilitating dynamic monitoring of body dimensions over periods of time based on three-dimensional depth and disparity

• US 10,702,745 B2
• Filed: 01/30/2018
• Issued: 07/07/2020
• Est. Priority Date: 09/24/2015
• Status: Active Grant

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Nandimandalam, Venkata Siva Varun Kumar, Baca, Jim Santiago, Smith, Neal P., Baker, David W.
• Primary Examiner(s): Chang, Jon
• Application Number:
  US15/883,864
• Publication Number:
  US 20190022462A1
• Time in Patent Office: 889 Days
• CPC Class Codes: A41H 3/00 Patterns for cutting-out; Methods of drafting or marking-out such patterns, e.g. on the cloth
• CPC Class Codes: A61B 5/00 Measuring for diagnostic purposes radiation diagnosis A61B6/00; diagnosis by ultrasonic, sonic or infrasonic waves A61B8/00; Identification of persons
• CPC Class Codes: A61B 5/0077 Devices for viewing the surface of the body, e.g. camera, magnifying lens
• CPC Class Codes: A61B 5/1071 measuring angles, e.g. using goniometers A61B5/1123 takes precedence
• CPC Class Codes: A61B 5/1072 measuring distances on the body, e.g. measuring length, height or thickness A61B5/1076 takes precedence
• CPC Class Codes: A61B 5/1079 using optical or photographic means
• CPC Class Codes: A61B 5/1114 Tracking parts of the body
• CPC Class Codes: A63B 24/0075 Means for generating exercise programs or schemes, e.g. computerized virtual trainer, e.g. using expert databases
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06T 17/00 Three dimensional [3D] modelling, e.g. data description of 3D objects
• CPC Class Codes: G06T 2207/10021 Stereoscopic video; Stereoscopic image sequence
• CPC Class Codes: G06T 2207/10028 Range image; Depth image; 3D point clouds
• CPC Class Codes: G06T 2207/20221 Image fusion; Image merging
• CPC Class Codes: G06T 5/50 using two or more images, e.g. averaging or subtraction
• CPC Class Codes: G06T 7/00 Image analysis
• CPC Class Codes: G06T 7/50 Depth or shape recovery
• CPC Class Codes: G06T 7/62 of area, perimeter, diameter or volume
• CPC Class Codes: G06V 20/653 by matching three-dimensional models, e.g. conformal mapping of Riemann surfaces
• CPC Class Codes: G09B 19/0092 Nutrition
• CPC Class Codes: G16H 10/60 : for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 20/30 : relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 20/60 : relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 40/67 : for remote operation

Abstract

A mechanism is described for facilitating smart monitoring of body dimensions according to one embodiment. A method of embodiments, as described herein, includes receiving a first request to take a first picture of a user, wherein the first picture is taken at a first point in time using a depth-sensing camera; automatically computing first body dimensions relating to a body of the user based on at least one of a first image of the body and first depth information relating to one or more parts of the body, wherein the first image and the first depth information are obtained from the first picture; generate a first three-dimensional (3D) model of the body based on the first body dimensions; and communicating at least one of the first 3D model and the first body dimensions to a display device, wherein the display device to display at least one of the first 3D model and the first body dimensions.

Claims

1. An apparatus for analyzing a body part of a user, the apparatus comprising:

a depth-sensing device including one or more sensors to generate first image data with respect to the body part of the user and to generate second image data with respect to the body part, the depth-sensing device to generate the first image data at a first time and to generate the second image data at a second time after the first time;

at least one processor; and

a storage device including instructions that, when executed by the at least one processor, cause the at least one processor to;

generate a first image indicative of a first change in the body part between the first time and the second time based on the first image data and the second image data, the first image including a first portion based on the first image data and a second portion based on the second image data, the second portion to at least partially overlap the first portion in the first image to show a difference in body shape between the first time and the second time;

generate a prediction with respect to a second change in the body part at a third time based on the first image data and the second image data, the third time to occur after the first time and after the second time; and

generate a second image of the body part based on a target body dimension for the body part, the target body dimension defined by a user input; and

cause a display device to display at least one of the first image, the second image, or the prediction.

2. The apparatus as defined in claim 1, wherein the at least one processor is to generate a three-dimensional model of the body part based on the first image data.

3. The apparatus as defined in claim 2, wherein the target body dimension is a first body dimension and wherein the at least one processor is to calculate a second body dimension for the body part based on the three-dimensional model.

4. The apparatus as defined in claim 3, wherein the second body dimension includes one or more of a waist size or a chest size.

5. The apparatus as defined in claim 1, wherein the depth-sensing device is associated with an electronic user device different from the display device.

6. The apparatus of claim 3, wherein the at least one processor is to determine a difference between the target body dimension and the second body dimension.

7. The apparatus as defined in claim 5, wherein the depth-sensing device and the electronic user device are to communicate via a wireless communication protocol.

8. The apparatus as defined in claim 1, wherein the one or more sensors include a red-green-blue camera and an infrared sensor.

9. The apparatus as defined in claim 1, wherein the at least one processor is to generate the prediction based on the target body dimension for the body part.

10. The apparatus as defined in claim 1, wherein the body part is the full body of the user.

11. The apparatus as defined in claim 1, wherein the first portion overlapped by the second portion is at least partially visible in the first image.

12. An apparatus for analyzing a body part of a user, the apparatus comprising:

means for generating first image data with respect to the body part of the user and second image data with respect to the body part, the means for generating to generate the first image data at a first time and to generate the second image data at a second time after the first time;

means for analyzing the first image data and the second image data, the means for analyzing to;

generate a first image showing a first change in the body part between the first time and the second time, the first image including a first portion based on the first image data and a second portion based on the second image data, the second portion to at least partially overlap the first portion in the first image; and

generate a prediction with respect to a second change in the body part at a third time based on the first image data and the second image data, the third time to occur after the first time and after the second time; and

generate a second image of the body part based on a target body dimension for the body part, the target body dimension defined by a user input and means for communicating with a display device to transmit at least one of the first image the second image, or the prediction to the display device.

13. The apparatus as defined in claim 12, wherein the means for generating includes a red-green-blue camera and an infrared sensor.

14. The apparatus as defined in claim 12, wherein the means for analyzing is to determine a body metric for the body part based on one or more of the first image data or the second image data and the means for communicating is to transmit the body metric to the display device.

15. The apparatus as defined in claim 12, wherein the means for analyzing is to generate a three-dimensional model of the body part based on the first image data.

16. At least one storage device comprising instructions which, when executed, cause at least one processor to at least:

access first image data of at least a portion of a body part of a user and second image data of the body part, the first image data representative of the body part at a first time and the second image data representative of the body part at a second time after the first time;

generate a first image indicative of a first change in the body part between the first time and the second time based on the first image data and the second image data, the first image including a first portion based on the first image data and a second portion based on the second image data, the second portion to at least partially overlap the first portion in the first image to show a difference in body shape between the first time and the second time;

generate a prediction with respect to a second change in the body part at a third time based on the first image data and the second image data, the third time to occur after the first time and after the second time; and

generate a second image of the body part based on a target body dimension for the body part, the target body dimension defined by a user input; and

display at least one of the first image, the second image, or the prediction on a display screen.

17. The at least one storage device as defined in claim 16, wherein the instructions, when executed, further cause the at least one processor to generate a three-dimensional model of the body part based on the first image data.

18. The at least one storage device as defined in claim 17, wherein the target body dimension is a first dimension and wherein the instructions, when executed, cause the at least one processor to calculate a second body dimension for the body part based on the three-dimensional model.

19. The at least one storage device as defined in claim 16, wherein the instructions, when executed, cause the at least one processor to generate the prediction based on the target body dimension for the body part.

20. The at least one storage device as defined in claim 16, wherein the instructions, when executed, cause the at least one processor to generate the prediction based on a user input defining an exercise routine for the user.

21. The at least one storage device as defined in claim 16, wherein the first portion overlapped by the second portion is at least partially visible in the first image.