Wearable device normalization of fitness equipment settings and characteristics

• US 9,864,844 B2
• Filed: 06/26/2015
• Issued: 01/09/2018
• Est. Priority Date: 06/26/2015
• Status: Expired due to Fees

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Durham, Lenitra M., Raffa, Giuseppe, Anderson, Glen J., Vembar, Deepak S., Sherman, Jamie
• Primary Examiner(s): Thanh, Loan H
• Assistant Examiner(s): ANDERSON, MEGAN M
• Application Number:
  US14/751,191
• Publication Number:
  US 20160375307A1
• Time in Patent Office: 928 Days
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0024 for multiple sensor units attached to the patient, e.g. using a body or personal area network
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/112 Gait analysis
• CPC Class Codes: A61B 5/6807 Footwear
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/6895 Sport equipment
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• 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

Abstract

Systems and methods may provide for obtaining first wearable sensor data associated with a first fitness session and first fitness equipment and obtaining second wearable sensor data associated with a second fitness session and second fitness equipment. Additionally, an effort normalization may be conducted between one or more settings of the second fitness equipment and one or more settings of the first fitness equipment based on the first wearable sensor data and the second wearable sensor data. In one example, a user prompt is generated during the second fitness session via a user interface of one or more of the second fitness equipment or a wearable device based on the normalization.

Claims

1. A device comprising:

a housing having a wearable form factor;

a battery port to receive power for the device; and

a processor programmed to;

obtain, from one or more sensors, first wearable sensor data associated with a first fitness session and first fitness equipment,

obtain, from the one or more sensors, second wearable sensor data associated with a second fitness session and second fitness equipment,

determine a first ratio of force-to-motion based on the first wearable sensor data,

determine a second ratio of force-to-motion based on the second wearable sensor data,

compare the first ratio of force-to-motion to the second ratio of force-to-motion to conduct an effort normalization, and

conduct the effort normalization between one or more settings of the second fitness equipment and one or more settings of the first fitness equipment based on the first wearable sensor data and the second wearable sensor data.

2. The device of claim 1, further including a user interface, wherein the processor generates a user prompt during the second fitness session via the user interface based on the effort normalization.

3. The device of claim 2, wherein the user prompt includes one or more of a speed adjustment prompt, an incline adjustment prompt or a resistance adjustment prompt.

4. The device of claim 1, wherein the first ratio of force-to-motion and the second ratio of force-to-motion represent a unit of effort.

5. The device of claim 1, wherein the first wearable sensor data and the second wearable sensor data are to be obtained from one or more of footwear or a glove and the first wearable sensor data and the second wearable sensor data are to include one or more of pressure sensor data, motion sensor data, perspiration sensor data, temperature sensor data or heart rate sensor data.

6. The device of claim 1, wherein the first wearable sensor data and the second wearable sensor data are to be associated with one or more of different treadmills, different elliptical trainers, different weight machines, different weight sets, different stationary bikes, or different step machines.