Biometric data gathering

• US 20150287338A1
• Filed: 08/14/2014
• Published: 10/08/2015
• Est. Priority Date: 08/26/2013
• Status: Active Grant

• Current Assignee: Jawku, LLC
• Original Assignee: Jawku, LLC
• Inventors: Wells, John Andrew, Cummings, Michael
• Granted Patent: US 9,704,412 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 2560/0475 Special features of memory means, e.g. removable memory cards
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/002 Monitoring the patient using a local or closed circuit, e.g. in a room or building A61B5/0017 takes precedence
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• 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 5/222 combined with detection or measurement of physiological parameters, e.g. heart rate
• CPC Class Codes: A61B 5/224 Measuring muscular strength
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/6823 Trunk, e.g., chest, back, abdomen, hip
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: A61B 5/6829 Foot or ankle
• CPC Class Codes: A61B 5/6831 Straps, bands or harnesses
• CPC Class Codes: A61B 5/6895 Sport equipment
• CPC Class Codes: G01C 22/006 Pedometers
• CPC Class Codes: G01P 15/00 Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration
• CPC Class Codes: G09B 19/003 Repetitive work cycles; Sequence of movements
• CPC Class Codes: G09B 19/0038 : Sports
• CPC Class Codes: G09B 23/288 : for artificial respiration or heart massage
• CPC Class Codes: G16H 20/30 : relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 20/40 : relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• CPC Class Codes: G16H 40/67 : for remote operation

Abstract

A universal 6-DOF mems sensor combined with six degree of motion algorithms and human motion parameters permits individualized real time motion analysis of a user to enable accurate measurements. Data derived thereby is wirelessly sent for viewing to a Bluetooth® enabled smartphone or combination smartphone and eyeglass device, marketed as the Google Glass® headset. The sensor is worn on a wrist or ankle band or in combination with a chest mounted cardio heart rate monitor dependent on the biometric parameters measured. Typical physical exercise data gathered includes reps, sets, 10-100 yard dash times, vertical, horizontal and broad jump distances, a range of shuttle times, RAST, steps taken, distance traveled, velocity, acceleration, and calories burned. The heart rate monitor provides cardio assessment and the 6-DOF sensor measures a runner'"'"'s pace and cadence data.

Claims

1. A universal motion exercising sensor module incorporating a 6-DOF sensor which detects degrees of motion, the universal motion exercising sensor module having an outer surface configuration allowing ease of interchangeability with a wrist band holder, an ankle band holder, a chest strap holder and a cradle magnetically or mechanically affixed to an exercise weight.

2. The universal motion exercising sensor module of claim 1 wherein the 6-DOF sensor includes a gyroscope and an accelerometer.

3. The universal motion exercising sensor module of claim 1 including a compiler for storing motion data in a coded form compatible with more complex coded apps loaded on a smart computer device.

4. The universal motion exercising sensor module of claim 1 including a Bluetooth protocol interface of 4.0 or higher for communicating with a smart computer device.

5. A method of gathering biometric raw data generated by an individual exercising and sending the biometric raw data to a fitness website wherein the gathering of the biometric raw data includes the following steps:

the step of the individual selecting from at least one exercise mode of specific exercises presented by the fitness website in response to fitness goals communicated by the individual to the fitness website;

the step of the individual using a smart computer device for viewing and/or listening to exercise instructions of how the specific exercises are performed as taught by video podcasts generated by the fitness website;

the further step of the individual wearing a universal motion exercising sensor module having a 6-DOF sensor while exercising to gather the biometric raw data;

the further step of the individual repeating as instructed a number of repetitions of the specific exercises wherein the number of repetitions is selected by the fitness website; and

the further step of the individual sending the gathered biometric raw data to the fitness website by using the smart computer device or other smart computer device.

6. The method of claim 5 wherein the individual does the step of performing specific exercises in the form of standard exercises used for conditioning/comparing purposes by an athletic sports combine.

7. The method of claim 6 comprising:

the further step of the fitness website using motion algorithms as applied to the biometric raw data generated from the exercises performed by the individual to compute at least five of;

Reps (each individual rep during exercise)

Sets (each set that is done per exercise)

40 yard dash (10, 20, 30 and 40 yard increments)

60 to a 100 yard dash

Vertical jump

Horizontal/Broad jump

Short/20 yard dash

RAST (Repeated anaerobic Sprint Test)

Calories burned

Steps taken

Distance traveled

Velocity and Acceleration.

8. The method of claim 5 further comprising:

the step of the fitness website using motion algorithms as applied to the raw data generated by the individual in combination with a MET NUMBER based on the metabolic equivalent to exercise calories for each different type of exercise and intensity level of exercise performed by the individual to measure calories burned by the individual.

9. The method of claim 8 further comprising:

the step of the fitness website using the biometric raw data to compute calories burned for each exercise completed and further computing an overall total daily calorie burn based on all biometric raw data sent to the fitness website.

10. The method of claim 5 further comprising:

the step of the individual placing the universal motion exercising sensor module in a cradle affixed to a weight lifted or moved as one of the specific exercises provided by the fitness website.

11. The method of claim 10 further comprising:

the step of the individual manually entering the weight lifted or moved in pounds or kilograms in the smart computer device or other smart computer device.

12. The method of claim 5 comprising:

the further step of the fitness website instructing the individual to conduct specific weight strength exercises after placing the universal motion sensor exercising module on the wrist, leg and chest of the individual and;

the further step of the fitness website calculating Peak Power assessment of the individual based on the biometric raw data generated by the individual doing the specific weight strength exercises.

13. The method of claim 12 comprising:

the further step of the fitness website calculating for specific weight lifting exercises weights to be lifted and reps thereof for the individual based on a one rep max number derived from the Peak Power assessment.

14. The method of claim 12 comprising:

the further step of the fitness website calculating for the individual unload weights and reps thereof based on the specific weight lifting exercises completed by the individual.

15. The method of claim 5 comprising:

the further step of the fitness website instructing the individual while wearing the universal motion exercising sensor module about the chest to complete a series of pushups per unit of time with the first pushup measured by the distance raised above the ground and the velocity of the pushup to determine Pushup Peak Power of the individual.

16. The method of claim 15 further comprising:

the further step of the fitness website based on the Pushup Peak Power calculating for the individual Maximal Pushups per Minute along with a recommended repetition number of pushups for the individual over a selected minute interval.

17. The method of claim 5 comprising:

the further step of the fitness website instructing the individual to wear a heart rate monitor to determine heart rate while wearing the universal motion exercising sensor module about the chest; and

the further step of instructing the individual to perform a cardiovascular fitness assessment exercise; and

the further step of the fitness website calculating based on both the biometric raw data generated from the cardiovascular fitness assessment exercise and the heart rate to determine heart rate numbers at VT/AT and Peak VO2.

18. The method of claim 17 comprising:

the further step of the fitness website calculating the optimal period of training times for the individual based on the ventricle threshold number VT and/or the anaerobic threshold number AT.

19. The method of claim 5 comprising:

the further step of the fitness website calculating at least one of a “

J-Score”

for the individual for each exercise completed based on age and gender and an overall “

J-Score”

based on the average of types of specific exercises completed.

20. A combination of a universal motion exercising sensor module having a 6-DOF sensor worn by an individual and a low energy Bluetooth protocol enabled smart device wherein the universal motion exercising sensor module is a universal shaped module shaped to be readily interchangeable with a receiving wrist band mounting holder, a receiving ankle/leg band mounting holder, a receiving chest band mounting holder and a cradle attached to an exercise weight, the 6-DOF sensor including a 6-DOF mems type sensor for gathering biometric raw data generated by exercise activities of the individual which exercise activities include at least one of walking, jogging, distance running, sprinting 10-100 yard dashes, pushups, jumping and lifting weights;

the universal motion exercising sensor module having a coded Bluetooth protocol interface compatible with the smart device for transmitting the gathered biometric raw data to the smart device.

21. The combination of claim 20 further comprising the smart device having 6-DOF motion algorithms integrated with exercise apps which refine the biometric raw data to calculate at least one of steps taken, velocity of running, distance of running, velocity of sprinting, acceleration of running, acceleration of sprinting, height or lateral distance of jumping, pace of movement, cadence of movement, number of repetition of weights lifted, number of sets of exercises completed and calories burned for each specific exercise and a total daily calories burned.

22. The combination of claim 21 wherein the smart device has a display screen which displays the refined biometric raw data in easily presented alphanumerical numbers, graphs, and charts.

23. The combination of claim 22 wherein the smart device has an app which sends the result of the displayed refined biometric raw data to a viewing screen on glasses worn by the individual to thereby free the smart device display screen for other use.

24. The combination of claim 20 further comprising the smart device having 6-DOF motion algorithms integrated with exercise apps which refine the raw biometric data to calculate the individual'"'"'s exercise performance in tests by sporting combines of the vertical jump, the broad jump, the 40 yard dash, the proagility 5-10-5 drill, the three cone/L drill and the repetition of the 235 pound bench press.