Fitness training system with energy expenditure calculation that uses multiple sensor inputs

• US 9,545,541 B2
• Filed: 06/04/2013
• Issued: 01/17/2017
• Est. Priority Date: 06/04/2012
• Status: Active Grant

• Current Assignee: Nike, Inc.
• Original Assignee: Nike, Inc.
• Inventors: Aragones, Tesa, Guerrero, Adriana, Holmes, Steve, Self, Christina S., Weast, Aaron B., Winsper, Paul, Blahnik, Jay C.
• Primary Examiner(s): Thomson, William
• Assistant Examiner(s): Archer, Marie
• Application Number:
  US13/909,453
• Publication Number:
  US 20130324368A1
• Time in Patent Office: 1,323 Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2505/09 Rehabilitation or training
• CPC Class Codes: A61B 5/0053 by applying pressure, e.g. compression, indentation, palpation, grasping, gauging
• CPC Class Codes: A61B 5/0077 Devices for viewing the surface of the body, e.g. camera, magnifying lens
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/02 Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
• CPC Class Codes: A61B 5/1121 Determining geometric values, e.g. centre of rotation or angular range of movement
• CPC Class Codes: A61B 5/44 Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails A61B5/117 takes precedence
• CPC Class Codes: A61B 5/6807 Footwear
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: A61B 5/6829 Foot or ankle
• CPC Class Codes: A61B 5/74 Details of notification to user or communication with user or patient indicating measured values G01D7/00; user input means input or output arrangements for computers G06F3/00
• CPC Class Codes: A63B 2220/12 Absolute positions, e.g. by using GPS
• CPC Class Codes: A63B 2220/40 Acceleration
• CPC Class Codes: A63B 2220/51 Force
• CPC Class Codes: A63B 2220/836 Sensors arranged on the body of the user
• CPC Class Codes: A63B 24/0062 Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
• CPC Class Codes: A63B 71/0619 Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
• CPC Class Codes: G09B 19/0038 Sports
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16Y 10/60 : Healthcare; Welfare
• CPC Class Codes: G16Y 20/40 : relating to personal data, e.g. biometric data, records or preferences
• CPC Class Codes: G16Y 40/10 : Detection; Monitoring

Abstract

Systems and methods for prompting a user to perform an exercise and monitoring the exercise are provided. Multiple independent sensors or sensor systems may be used to calculate energy expenditure. Various criteria may be used to manually or automatically select the independent sensor or sensor system or combination that will be used with the energy expenditure calculations.

Claims

1. A computer-implemented method for use with a user performing an exercise, comprising:

monitoring, with a first sensor, athletic activity of the user while performing the exercise;

monitoring, with a second sensor, the athletic activity of the user while performing the same exercise;

selecting, by a computer processor, one of the first sensor and the second sensor to calculate an energy expenditure estimate of the user corresponding to the exercise;

displaying, by a first display device associated with a selected sensor, from the first sensor and the second sensor, the energy expenditure estimate of the user; and

displaying, on a second display device associated with a non-selected sensor, from the first sensor and the second sensor, the same energy expenditure estimate of the user displayed-on the first display device associated with the selected sensor,

wherein the selecting of the one of the first sensor and the second sensor comprises selecting the first sensor for a first portion of the exercise and the second sensor for a second portion of the exercise.

2. The method of claim 1, wherein the displaying, on the second display device associated with the non-selected sensor comprises:

receiving, by the second display device, monitored data from the non-selected sensor; and

disabling the second display device from displaying data received from the non-selected sensor.

3. The method of claim 1, wherein the selecting is performed by the computer processor based on an accuracy of the first sensor for calculating a first energy expenditure estimate of the user and an accuracy of the second sensor for calculating a second energy expenditure estimate of the user.

4. The method of claim 3, wherein the selecting is a function of the exercise performed.

5. The method of claim 1, further comprising

calculating, by the computer processor using monitored data from the first sensor, a first energy expenditure estimate of the user corresponding to the first portion of the exercise, wherein the monitored data from the first sensor is more accurate than monitored data from the second sensor for calculation of first energy expenditure estimate during the first portion of the exercise;

and

calculating, by the computer processor using monitored data from the second sensor, a second energy expenditure estimate of the user corresponding to the second portion of the exercise, wherein the monitored data from the second sensor is more accurate than the monitored data from the first sensor for calculation of the second energy expenditure estimate during the second portion of the exercise;

wherein the energy expenditure estimate displayed on the first display is a function of the first energy expenditure estimate and the second energy expenditure estimate.

6. The method of claim 5, wherein the function is a weighted average of the first energy expenditure estimate and the second energy expenditure estimate.

7. The method of claim 5, wherein the first portion of the exercise comprises the user running, wherein the second portion of the exercise comprises the user performing squats, and wherein the energy expenditure estimate comprise an estimate of calories burned by the user.

8. The method of claim 5, wherein the calculating of the first energy expenditure estimate is determined utilizing a metabolic equivalent of task (MET) table based on a type of the exercise.

9. The method of claim 5, wherein the first energy expenditure estimate is based on a basal metabolic rate of the user and wherein the calculating of the first energy expenditure estimate applies the following equation:

Calories burned=BMR*(activity modifier)*(completeness modifier),

wherein BMR is the Basal Metabolic Rate of the user, the activity modifier is an adjustment corresponding to a type of the exercise, and the completeness modifier is an adjustment corresponding to how well a form of the user corresponds to a desired form for the exercise.

10. The method of claim 1, wherein the first sensor comprises an image-capturing device coupled with at least one of:

an IR device, an accelerometer, a gyroscope, a location-determining device, light sensor, temperature sensor, heart rate monitor, and moisture sensor.