WIRELESS METRIC CALCULATING AND FEEDBACK APPARATUS , SYSTEM, AND METHOD

• US 20170046979A1
• Filed: 04/29/2015
• Published: 02/16/2017
• Est. Priority Date: 04/29/2014
• Status: Active Grant

• Current Assignee: TritonWear, Inc.
• Original Assignee: TritonWear, Inc.
• Inventors: LEHARY, Tristan Vincent Hulbert
• Granted Patent: US 10,529,250 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/6803 Head-worn items, e.g. helmets, masks, headphones or goggles
• CPC Class Codes: A61B 5/6814 Head
• CPC Class Codes: A61B 5/6831 Straps, bands or harnesses
• CPC Class Codes: A61B 5/7405 using sound
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A63B 2071/0625 Emitting sound, noise or music
• CPC Class Codes: A63B 2071/0655 Tactile feedback
• CPC Class Codes: A63B 2208/03 the user being in water
• CPC Class Codes: A63B 2220/10 Positions
• CPC Class Codes: A63B 2220/12 Absolute positions, e.g. by using GPS
• CPC Class Codes: A63B 2220/17 Counting, e.g. counting periodical movements, revolutions or cycles, or including further data processing to determine distances or speed
• CPC Class Codes: A63B 2220/20 Distances or displacements
• CPC Class Codes: A63B 2220/30 Speed
• CPC Class Codes: A63B 2220/40 Acceleration
• CPC Class Codes: A63B 2220/44 Angular acceleration
• CPC Class Codes: A63B 2220/62 Time or time measurement used for time reference, time stamp, master time or clock signal
• CPC Class Codes: A63B 2220/803 : Motion sensors
• CPC Class Codes: A63B 2220/836 : Sensors arranged on the body of the user
• CPC Class Codes: A63B 2225/20 : with means for remote communication, e.g. internet or the like
• CPC Class Codes: A63B 2225/50 : Wireless data transmission, e.g. by radio transmitters or telemetry
• CPC Class Codes: A63B 2230/06 : heartbeat rate only
• CPC Class Codes: A63B 2230/20 : blood composition characteristics
• CPC Class Codes: A63B 2230/40 : respiratory characteristics
• CPC Class Codes: A63B 2230/75 : calorie expenditure
• 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 33/00 : Swimming equipment attachable to the head, e.g. swim caps or goggles diving masks B63C11/12; breathing aids, e.g. snorkels, B63C11/18
• CPC Class Codes: A63B 33/002 : Swimming goggles
• CPC Class Codes: A63B 33/004 : comprising two separate lenses joined by a flexible bridge
• CPC Class Codes: A63B 69/00 : Training appliances or apparatus for special sports training of parachutists B64D23/00
• CPC Class Codes: A63B 71/0622 : Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
• CPC Class Codes: G06F 1/163 : Wearable computers, e.g. on a belt
• CPC Class Codes: G06N 20/00 : Machine learning
• CPC Class Codes: G09B 19/0038 : Sports
• CPC Class Codes: G09B 5/125 : the stations being mobile
• CPC Class Codes: H04B 1/3888 : Arrangements for carrying or protecting transceivers
• CPC Class Codes: H04B 2001/3866 : carried on the head
• CPC Class Codes: H04B 2001/3894 : Waterproofing of transmission device

Abstract

A wearable computing device that is secured or attached to a resilient strap, the resilient strap sized to fit around at least a part of a circumference of a human head. The device has a waterproof storage volume housing a plurality of sensors. The wearable computing device may calculate a plurality of swimming metrics based at least partly on data received from the at least one sensor. The wearable computing device may include a wireless communication subsystem secured to the resilient strap within the waterproof storage volume and may transmit at least one of the calculated plurality of swimming metrics to at least one computing device via the wireless communication subsystem. The wearable computing device may include at least one user output component and may present an indication of at least one of the calculated plurality of swimming metrics at the at least one user output component for communication to the user. The indication may be audio played in an ear piece connected to the strap, or may be visually displayed on a display in an eye goggle portion of the strap.

Claims

1. A wearable computing device for wearing on a head of a user, the device comprising:

a waterproof storage volume;

at least one sensor secured to or within the waterproof storage volume, the at least one sensor positioned and configured to generate sensor data including sensor data for motion of a human head;

a power supply within the waterproof storage volume;

a wireless transceiver within or secured to the waterproof storage volume for wireless communication with at least one external device;

at least one data processor secured within the waterproof storage volume coupled to at least one user output component, and coupled to at least one non-transitory computer readable medium containing processing instructions that when executed by the at least one data processor, cause the at least one data processor to;

calculate a plurality of performance metrics based at least partly on the sensor data, the performance metrics including a signal profile for the sensor data for motion of the human head; and

transmit the signal profile;

wherein the at least one data processor or the external device configured to implement machine learning techniques to classify the signal profile with a level of confidence in comparison to signal profiles for known swim events.

3. The wearable computing device of claim 1 comprising at least one user output component, the at least one data processor coupled to the at least one user output component;

wherein the processing instructions cause the at least one data processor to;

in response to data received from the at least one computing device via the wireless communication subsystem, present an indication of the received data at the at least one user output component for communication to the user.

4. The wearable computing device of claim 1 comprising at least one data storage subsystem within the waterproof storage volume, the at least one data processor coupled to the at least one data storage subsystem;

wherein the processing instructions cause the at least one data processor to;

store or transmit at least one of the calculated plurality of performance metrics to the at least one data storage subsystem.

5. The wearable computing device of claim 1 wherein the at least one sensor comprises at least one accelerometer, at least one gyroscope, or at least one magnetometer positioned on the device to generate the sensor data for motion of the human head.

7. The wearable computing device of claim 1 comprising at least one user output component, the at least one data processor coupled to the at least one user output component;

wherein the processing instructions cause the at least one data processor to;

present an indication of at least one of the calculated plurality of performance metrics at the at least one user output component for communication to the user.

8. The wearable computing device of claim 7 further comprising at least one strap connection for connecting to a resilient strap, the resilient strap sized to fit around at least a part of a circumference of a human head, wherein the resilient strap comprises first and second strap ends, the waterproof storage volume situated between the first and second strap ends, the wearable computing device comprising:

an eye-goggle frame comprising a pair of goggle lens apertures and first and second goggle frame ends, a portion of the eye-goggle frame surrounding each goggle lens aperture retaining a respective goggle lens, each of the first and second strap ends secured to a respective one of the first and second goggle frame ends.

9. The wearable computing device of claim 8 further comprising at least one strap connection for connecting to a resilient strap, the resilient strap sized to fit around at least a part of a circumference of a human head;

wherein the waterproof storage volume is situated along the strap opposite the eye-goggle frame.

10. The wearable computing device of claim 8 wherein the at least one user output component comprises at least one display applied to at least one of the goggle lenses, the at least one display coupled to the at least one data processor, the presenting comprising displaying the indication of the at least one of the calculated plurality of performance metrics on the display.

11. The wearable computing device of claim 10 wherein the presenting is updated with the indication of the at least one of the calculated plurality of performance metrics in real-time.

12. The wearable computing device of claim 10 wherein the at least one display is positioned at a periphery of the respective at least one goggle lens.

13. The wearable computing device of claim 7 wherein the at least one user output component comprises at least one waterproof headphone connected to the at least one data processor to provide the communication to the user.

14. The wearable computing device of claim 1 wherein the waterproof storage volume comprises at least one enclosed interior cavity integrally defined within a portion of a strap sized to fit around at least a part of a circumference of a human head.

15. The wearable computing device of claim 14 comprising a rigid waterproof enclosure defining a waterproof enclosure interior cavity, wherein each of the at least one sensor, the at least one data processor, and the at least one non-transitory computer readable medium are housed within the waterproof enclosure interior.

16. The wearable computing device of claim 1 wherein the calculated plurality of performance metrics are swimming metrics comprising at least one of stroke type, stroke count, stroke rate, distance per stroke, turn type, swim times and swim splits, stroke type, distance underwater, push-off distance, distance per stroke, stroke rate, cadence, breathing pattern, breaths per length, push-off metrics, blood metrics, speed, position, heart rate, horizontal drift, turn time, calories burned, lactic acid, kick rate, GPS tracking, swim time, rest time, workout time, total distance swam, pitch, yaw, roll, linear velocity, stroke profile, and technical velocity.

17. The wearable computing device of claim 1 comprising an heart rate monitor sensor in communication with the at least one data processor to generate a portion of the sensor data.

2. (canceled)

6. (canceled)

18. A system comprising:

a plurality of wearable computing devices, each for wearing or positioning on a head of a user and comprising;

a waterproof storage volume;

at least one sensor secured to or within the waterproof storage volume, the at least one sensor configured to generate sensor data including sensor data for motion of the human head; and

at least one data processor within the waterproof storage volume coupled to at least one user output component, and coupled to at least one non-transitory computer readable medium containing processing instructions executed by the at least one data processor; and

at least one computing device in wireless communication with one or more of the plurality of wearable computing devices;

wherein the processing instructions of each of the wearable computing devices cause the at least one data processor to;

calculate a plurality of performance metrics based at least partly on the sensor data, the performance metrics including a signal profile for the sensor data for motion of the human head; and

transmit at least a portion of the calculated performance metrics to the computing device;

wherein the at least one data processor or the computing device[MM1] is configured to implement machine learning techniques to classify the signal profile with a level of confidence in comparison to signal profiles for known swim events.

23. The system of claim 18 the system further comprising a cloud data server connected to the at least one computing hub to receive the portion of sensor data or the portion of performance metrics.

24. The system of claim 18 further comprising a coach device connected to the at least one computing hub or the mobile device to receive the portion of sensor data or the portion of performance metrics as training data and trigger a comparison to an elite performance data set or a historical data set.

25. The system of any claim 18 wherein the calculated plurality of performance metrics are swimming metrics comprising at least one of stroke type, turn type, stroke count, stroke rate, distance per stroke, swim times and swim splits, stroke type, distance underwater, push-off distance, push-off metrics, blood metrics, distance per stroke, stroke rate, cadence, breathing pattern, breaths per length, speed, position, heart rate, horizontal drift, turn time, calories burned, lactic acid, kick rate, GPS tracking, swim time, rest time, workout time, total distance swam, pitch, yaw, roll, linear velocity, stroke profile, and technical velocity.

19-22. -22. (canceled)

26. A method of determining at least one performance metric in a head-mountable wearable computing device, the method comprising:

the head-mountable wearable computing device receiving data from at least one sensor detachably mounted proximate a human head to generate sensor data including sensor data for motion of the human head;

the head-mountable wearable computing device calculating a plurality of performance metrics based at least partly on data received from the at least one sensor, the performance metrics including a signal profile for the sensor data for motion of the human head and transmitting the performance metrics to an external device for calculation of the plurality of performance metrics, the external device configured to implement machine learning techniques to classify the signal profile with a level of confidence in comparison to signal profiles for known swim events; and

the head-mountable wearable computing device providing feedback based on the calculated performance metrics.

27-56. -56. (canceled)