Method and System for Identification of Concurrently Moving Bodies and Objects

• US 20160023043A1
• Filed: 07/16/2014
• Published: 01/28/2016
• Est. Priority Date: 07/16/2014
• Status: Active Grant

• Current Assignee: Richard Grundy
• Original Assignee: Richard Grundy
• Inventors: Grundy, Richard
• Granted Patent: US 9,308,417 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/6895 Sport equipment
• CPC Class Codes: A63B 2024/0065 Evaluating the fitness, e.g. fitness level or fitness index
• CPC Class Codes: A63B 21/055 extension element type
• CPC Class Codes: A63B 21/06 User-manipulated weights
• CPC Class Codes: A63B 21/0724 Bar-bells; Hand bars
• CPC Class Codes: A63B 21/0726 Dumb bells, i.e. with a central bar to be held by a single hand, and with weights at the ends
• CPC Class Codes: A63B 21/4035 for operation by hand
• CPC Class Codes: A63B 2220/16 Angular positions
• CPC Class Codes: A63B 2220/40 Acceleration
• CPC Class Codes: A63B 2220/803 Motion sensors
• 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 2225/54 Transponders, e.g. RFID
• CPC Class Codes: A63B 24/0003 Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
• 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 49/00 : Stringed rackets, e.g. for tennis strings therefor A63B51/00
• CPC Class Codes: A63B 53/00 : Golf clubs
• CPC Class Codes: A63B 59/00 : Bats, rackets, or the like, not covered by groups A63B49/00 - A63B57/00
• CPC Class Codes: A63B 69/0024 : for hockey
• CPC Class Codes: H04M 1/72412 : using two-way short-range wireless interfaces
• CPC Class Codes: H04M 2250/12 : including a sensor for measuring a physical value, e.g. temperature or motion

Abstract

Herein provided is a method and system for wearable data collection in sports strength training and fitness exercise. The system includes an admin sensor set including sensors that couple to fitness equipment and a fitness sensor set which includes a wrist band sensor. A fitness app communicates with the sensors via Bluetooth Low Energy and Near Field Communication and detect concurrent movement based on proximity, user parameters and fitness object parameters. A fitness training report is generated that identifies the fitness objects used in a fitness exercise detected. Other embodiments are disclosed.

Claims

1. A system for wearable data collection in sports strength training and fitness exercise comprising:

an admin sensor set including

a plurality of tag sensors that affix to a first set of fitness objects that identify object parameters including motion and orientation of the tag sensors; and

a fitness sensor set including

a wristband sensor that identifies user parameters including motion and orientation of the wristband sensor; and

a fitness app that by way of a host mobile device operatively couples to the wristband and the tag sensors to configure, collect and communicate fitness data,

where the fitness app, upon detection of movement of the tag sensors and the wristband sensor;

receives motion data from the tag sensors within a proximity of the wristband;

detects concurrent movement between the wristband and the tag sensors from the motion data;

filters out motion data from tag sensors not correlated with the concurrent movement to produce a tag sensor selection set;

calculates from the object parameters and the user parameters of the wristband a fitness training report that identifies the fitness objects used in a fitness exercise detected from the tag sensor selection set.

2. The system of claim 1, where the wristband sensor further an accelerometer, a Bluetooth Low Energy (BLE) transceiver, a battery and a visual indicator;

where the battery powers the BLE transceiver, the accelerometer and the visual indicator, and the BLE transceiver transmits accelerometer data to the fitness app, and the visual indicator indicates a status.

3. The system of claim 1, where the fitness sensor set further includes a shoe clip sensor comprising an accelerometer, a BLE transceiver, a battery and a visual indicator;

where the battery powers the BLE transceiver, accelerometer, and visual indicator, and the BLE transceiver transmits accelerometer data to the fitness app, and the visual indicator indicates a status.

4. The system of claim 1, where the admin sensor set includes an admin app that by way of an administrator mobile device operatively couples to the plurality of tag sensors and the plurality of pin sensors to communicate administrative data.

5. The system of claim 1, where the admin sensor set includes a plurality of pin sensors that detachably couple to a second set of fitness objects and identify one or more second set object parameters including motion and orientation of the pin sensors.

6. The system of claim 1, where for the admin sensor set:

each tag sensor includes an accelerometer, a BLE transceiver, a battery and a visual indicator;

where the battery powers the BLE transceiver and the accelerometer, and the BLE transceiver transmits accelerometer data and the visual indicator indicates a status.

each pin sensor includes an accelerometer, a BLE transceiver, a battery, a visual indicator and an NFC transceiver where the battery powers the BLE transceiver, the NFC transceiver and the accelerometer, and the NFC transceiver collects NFC data from NFC labels on the second set of fitness objects, and the BLE transceiver transmits the NFC data and the accelerometer data and the visual indicator indicates a status.

7. The system of claim 1, where the user parameters include a left or right placement, and an arm length or leg length.

8. The system of claim 1, where the object parameters include at least one among a weight identifier, a resistance identifier, a machine identification, a placement identification, and a descriptive identifier.

9. The system of claim 1, where each tag sensor:

upon itself detecting its own motion;

creates a data packet that includes the object parameters and a recommendation entry for a non-servicing mode;

advertises for the non-servicing mode by way of the data packet;

10. The system of claim 1, where each tag sensor:

upon itself detecting its own motion;

creates a data packet that includes the object parameters and a recommendation entry for a connectable mode;

notifies updates through an established connection by way of the data packet;

11. The system of claim 8, where the fitness app listens to advertisement from multiple tag sensors and collects object parameters contained in the data packet, but does not establish a Bluetooth service connection to the tag sensor.

12. The system of claim 8, where the fitness app scans for multiple tag sensors, establishes a Bluetooth services connection to each in a round robin approach, and collects object parameters contained in the data packet.

13. A method of data collection in sports strength training and fitness exercise that:

by way of an admin sensor set including

a plurality of tag sensors that affix to a first set of fitness objects that identify object parameters including motion and orientation of the tag sensors,

transmitting the object parameters responsive to detecting changes in the motion and orientation of the tag sensors; and

by way of a fitness sensor set including

a wristband sensor that identifies user parameters including motion and orientation of the wristband sensor,

a fitness app on a host mobile device operatively coupled to the wristband and the tag sensors that configures, collects and communicates fitness data,

upon the fitness app receiving the object parameters from the tag sensors within a proximity of the wristband,

detecting concurrent movement between the wristband and the tag sensors from the motion data;

filtering out motion data from tag sensors not correlated with the concurrent movement to produce a tag sensor selection set;

calculating from the object parameters and the user parameters of the wristband a fitness training report that identifies the fitness objects used in a fitness exercise detected from the tag sensor selection set.

14. The method of claim 13,

where the user parameters include at least one among a left or right wristband placement and an arm length or leg length associated with the wristband,

where the object parameters include at least one among a weight, a machine identification, a placement identification, and a descriptive identifier of the tag sensor.

15. The method of claim 14, wherein the step of calculating includes

calculating a repetition rate from directional movement changes and with respect to gravity;

calculating relative motion of the repetition rate from either or

     1) the wristband placement, and

     2) the arm length or leg length placement; and

integrating relative motion to estimate distance of movement of the wristband with respect to the tag sensors.

16. The method of claim 15, determining from the repetition rate, the relative motion and the weight at least one among an amount of energy expended, a power level, a fatigue rate, and a muscle efficiency incurred in the fitness exercise.

17. The method of claim 15, determining from the repetition rate and the relative motion the fitness object used in the fitness exercise.

18. The method of claim 15, wherein the fitness object is at least one among a club, a racket, a bat, hockey stick, a dumbbell, a plate, a bar, a bar bell, a cow bell, a resistance band, a grip, a weight machine, a strength machine or fitness equipment.

19. The method of claim 13, where the fitness training report, from the calculation identifies the fitness objects by one among weight, size and description.

20. The method of claim 13, where each tag sensor performs the steps of:

upon itself detecting its own motion;

creating a data packet that includes the object parameters and a recommendation entry for a non-servicing mode; and

advertising for the non-servicing mode by way of the data packet.

21. The method of claim 13, where each tag sensor performs the steps of:

upon itself detecting its own motion;

creates a data packet that includes the object parameters and a recommendation entry for a connectable mode; and

notifies updates through an established connection by way of the data packet;

22. The method of claim 20, where the fitness app listens to advertisement from the tag sensors and collects object parameters contained in the data packet, but does not establish a Bluetooth service connection to the tag sensor.

23. The method of claim 21, where the fitness app scans for multiple tag sensors, establishes a Bluetooth services connection to each in a round robin approach, and collects object parameters contained in the data packet.