Optical data capture of exercise data in furtherance of a health score computation

• US 9,378,336 B2
• Filed: 03/16/2012
• Issued: 06/28/2016
• Est. Priority Date: 05/16/2011
• Status: Active Grant

• Current Assignee: Dacadoo AG
• Original Assignee: Dacadoo AG
• Inventors: Ohnemus, Peter, Naef, Andre
• Primary Examiner(s): KANAAN, MAROUN P
• Application Number:
  US13/423,051
• Publication Number:
  US 20120296455A1
• Time in Patent Office: 1,565 Days
• Field of Search: 705/2, 705/3
• US Class Current: 1/1
• CPC Class Codes: A63B 2220/05 Image processing for measuring physical parameters
• CPC Class Codes: A63B 2220/807 Photo cameras
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A computer implemented method for managing health-related data captures an image from a display of an exercise machine using a camera, has the images processed to extract the text data from the captured images, and analyzes the text data to identify information relating to extrinsic physical activity performed by a person at the exercise machine. The results are stored in memory and a profile specific to the person is updated. The profile comprises a log of past exercise activity that allows the person to track his or her activity and progress and overall health. The profile can be accessed by the person through a portal such as using a smart phone or a computer program or web browser. The results can be combined with other data to arrive at a health score which can be published through the portal while personal data remains masked from public inspection.

Claims

1. A computer-implemented method for managing data corresponding to a user'"'"'s activity and health, and providing a corresponding masked composite numerical value to the user through a portal, the method comprising:

capturing, by an electronic image capture device, an image having a set of pixels of an exercise machine display that is separate from the image capture device;

configuring, by a processor, a control circuit to gather from a memory that is operatively and wirelessly connected to the control circuit, image data from the image;

comparing, by using the configured processor to implement a photo comparison algorithm, the image data to at least one other image that corresponds, within a pre-determined degree of similarity, to the image to determine a make and model of the exercise machine depicted as a function of the image data;

automatically selecting, using the configured processor and as a function of the determined make and model of the exercise machine, a particular portion of the set of pixels in which information representing extrinsic physical activity parameters associated with physical activity of the user is represented, wherein the particular portion has fewer pixels than the set;

identifying, using the configured processor, sequences of characters within the particular portion of pixels;

determining, using the configured processor, spatial relationships between the sequences only within the particular portion of the pixels;

defining, using the configured processor, one or more data unit types in accordance with the identified sequences and/or determined spatial relationships;

determining, using the configured processor, a measure of calories expended in the physical activity;

generating, using the configured processor, extrinsic physical activity parameter data associated with the extrinsic physical activity parameters that is located within the selected particular portion of pixels as a function of the defined data unit types and determined measure of calories;

updating, using the configured processor, a stored profile associated with the user that includes previously captured data with at least some of the generated extrinsic physical activity parameter data;

receiving, by a data collection module executed by the configured processor, a plurality of intrinsic medical parameters of the user that include the user'"'"'s body weight, and storing the intrinsic medical parameters in the memory;

applying, by a weighting module executed by the configured processor, at least one respective weighting factor that is recalled from the memory to at least one of the intrinsic medical parameters to calculate at least one weighted intrinsic weighted parameter;

transforming, by the configured processor, the measured calories into a metabolic equivalent value by dividing by the user'"'"'s body weight;

allocating, by the configured processor, the metabolic equivalent value among a health pool and a bonus pool, wherein the bonus pool has a predetermined size and wherein the metabolic equivalent value is allocated to the bonus pool up to the predetermined size, and any metabolic equivalent value exceeding the bonus pool size is allocated to the health pool;

applying, by the weighting module executed by the configured processor, at least one weighting factor to a health pool value to calculate a weighted health pool value;

transforming, by the configured processor, the intrinsic medical parameters and the extrinsic physical activity parameters into a masked composite numerical value by combining at least the weighted intrinsic medical parameters and the weighted health pool value in accordance with an algorithm;

publishing, by the configured processor, the masked composite numerical value to the user through the portal, wherein the portal comprises a web-based portal accessible through the internet or an application on a mobile computing device; and

enabling the user to view the masked composite numerical value using the mobile computing device.

2. The method of claim 1, further comprising using an optical character recognition algorithm on the captured image.

3. The method of claim 1, further comprising a step of extracting, using the configured processor, text from a particular portion of the pixels.

4. The method of claim 1, further comprising the steps of:

automatically publishing the masked composite numerical value to a designated group via the portal, using code executing in the configured processor and free of human intervention, while maintaining the collected information concerning the intrinsic medical parameters and the extrinsic physical activity parameters private.

5. The method of claim 4, wherein the at least one weighting factor includes a decay component arranged to reduce a relative weight of the extrinsic physical activity parameters for a physical activity in dependence on at least one factor associated with the user.

6. The method of claim 5, wherein the at least one factor associated with the user is an age or an age range of the user such that the decay component reduces the relative weight for a first user of a first age or age range differently than a second user of a second age or age range.

7. The method of claim 1, wherein the steps of transforming, allocating and publishing are performed substantially automatically upon receipt of data on intrinsic medical parameters or extrinsic parameters of a user.

8. The method of claim 1, further comprising:

automatically establishing an exercise program at the exercise machine using a log of the user'"'"'s past physical activity.

9. The method of claim 1, further comprising

executing further code in the processor that configures the processor to:

apply a daily decay component to the bonus pool.

10. The method of claim 1, further comprising sorting, as a function of a sequencing algorithm, optical character recognition data into categorized sequenced data.