Crowdsourcing health improvements routes

Patent metadata

Field	Value
Publication number	US-10650918-B2
Application number	US-201715611519-A
Country	US
Kind code	B2
Filing date	Jun 1, 2017
Priority date	Jun 1, 2017
Publication date	May 12, 2020
Grant date	May 12, 2020

Abstract

A computer-implemented method for determining routes includes receiving a user's location and health measures, for a plurality of users, analyzing the plurality of users and their corresponding locations to determine health behaviors at a given location and time, receiving a request from a user for a route, developing a route to the user's destination from a current location to obtain a target health behavior within a given threshold or constraint based on the plurality of user's healthy behaviors, and presenting the a route on a computing device.

First claim

What is claimed is:

1. A computer-implemented method for determining routes, comprising the steps of:
receiving, by a server, users' location and health measures data, for a plurality of users;
analyzing, by the server, the plurality of users and their corresponding locations and health measures data to determine health behaviors of the plurality of users at a given location and time;
receiving, by the server, a request for a route from a mobile computing device of a requesting user, wherein the request includes the requesting user's location and health measures data;
normalizing, by the server, map regions without data for the requesting user with data for others of the plurality of users whose demographic data matches that of the requesting user and whose previous routes match the requesting user's route based on elevation, distance and pitch;
creating, by the server, an aggregated heatmap based on a select cohort of the plurality of users whose demographic data match that of the requesting user, wherein the heatmap shows various routes between the requesting user's location and destination;
developing, by the server, a route to the requesting user's destination from a current location to obtain a target health behavior within a given threshold or constraint based on the plurality of user's healthy behaviors; and
presenting, by the server, the route on the requesting user's mobile computing device.

2. The method of claim 1 , further comprising joining the location and health measures data together into a single data element based on time.

3. The method of claim 1 , wherein the health behaviors includes one or more of a number of calories, a number of steps, or at least a health measure.

4. The method of claim 1 , wherein the route is presented as a map on the requesting user's mobile computing device.

5. The method of claim 1 , wherein
location data includes a user's location based on GPS data or cell triangulation, a user's elevation, terrain, or environmental attributes,
health measures data include one or more of activity, blood pressure, speed, heartrate, or calories burned, and
said location and health measures data is stamped with a time and date.

6. The method of claim 1 , wherein analyzing the plurality of users and their corresponding locations comprises aggregating biometric data and route data over a population of users in a data cloud for a given user and normalizing data over a distance for data values over a predetermined threshold.

7. The method of claim 6 , further comprising creating an aggregated heatmap that represents health, geographical, and topographical data as part of the heatmap, and displaying the heatmap on the requesting user's mobile computing device.

8. The method of claim 1 , wherein developing a route to the requesting user's destination comprises using a metric along with a graph traversal algorithm to select a route that increases health related values in the route assigned to a user.

9. The method of claim 8 , wherein a metric includes one or more of a number of calories, a number of vertical steps, number of horizontal steps, increase in beats per minute, a distance, or mode of transportation.

10. The method of claim 1 , further comprising presenting a variety of route options to the requesting user's mobile computing device, and receiving the requesting user's choice selected from the variety of route options.

11. The method of claim 1 , further comprising creating a map that highlights opportunities to burn extra calories, and displaying the map on the requesting user's mobile computing device.

12. The method of claim 1 , further comprising creating an aggregated heatmap that represents health, geographical, and topographical elements for the plurality of users, and displaying the heatmap on the requesting user's mobile computing device.

13. A non-transitory program storage device readable by a computer, tangibly embodying a program of instructions executed by the computer to perform the method steps for determining exercise routes, comprising the steps of:
receiving, by a server, users' location and health measures data, for a plurality of users;
analyzing, by the server, the plurality of users and their corresponding locations and health measures data to determine health behaviors of the plurality of users at a given location and time;
receiving, by the server, a request for a route from a mobile computing device of a requesting user, wherein the request includes the requesting user's location and health measures data;
normalizing, by the server, map regions without data for the requesting user with data for others of the plurality of users whose demographic data matches that of the requesting user and whose previous routes match the requesting user's route based on elevation, distance and pitch;
creating, by the server, an aggregated heatmap based on a select cohort of the plurality of users whose demographic data match that of the requesting user, wherein the heatmap shows a plurality of routes between the requesting user's location and destination;
developing, by the server, a route to the requesting user's destination from a current location to obtain a target health behavior within a given threshold or constraint based on the plurality of user's healthy behaviors; and
presenting, by the server, the route on the requesting user's mobile computing device.

14. The computer readable program storage device of claim 13 , further comprising joining the location and health measures data together into a single data element based on time.

15. The computer readable program storage device of claim 13 , wherein the health behaviors includes one or more of a number of calories, a number of steps, or at least a health measure.

16. The computer readable program storage device of claim 13 , wherein the route is presented as a map on the requesting user's mobile computing device.

17. The computer readable program storage device of claim 13 , location data includes a user's location based on GPS data or cell triangulation, a user's elevation, terrain, or environmental attributes,
health measures data include one or more of activity, blood pressure, speed, heartrate, or calories burned, and
said location and health measures data is stamped with a time and date.

18. The computer readable program storage device of claim 13 , wherein analyzing the plurality of users and their corresponding locations data comprises aggregating biometric data and route data over a population of users in a data cloud for a given user and normalizing data over a distance for data values over a predetermined threshold.

19. The computer readable program storage device of claim 18 , the method further comprising creating an aggregated heatmap that represents health, geographical, and topographical data as part of the heatmap, and displaying the heatmap on the requesting user's mobile computing device.

20. The computer readable program storage device of claim 13 , wherein developing a route to the requesting user's destination comprises using a metric along with a graph traversal algorithm to select a route that increases health related values in the route assigned to a user.

21. The computer readable program storage device of claim 20 , wherein a metric includes one or more of a number of calories, a number of vertical steps, number of horizontal steps, increase in beats per minute, a distance, or mode of transportation.

22. The computer readable program storage

Assignees

• IBM

Inventors

• Bastide Paul R
• Kiral-Kornek Isabell Filiz
• Mahapatra Dwarikanath
• Saha Susmita
• Vishwanath Arun
• von Cavallar Stefan

Classifications

• G16H10/60 Primary

  for patient-specific data, e.g. for electronic patient records · CPC title

• G16H20/30

  relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising · CPC title

• G16H50/70 Primary

  for mining of medical data, e.g. analysing previous cases of other patients · CPC title