Smart sport device

• US 9,610,476 B1
• Filed: 05/02/2016
• Issued: 04/04/2017
• Est. Priority Date: 05/02/2016
• Status: Expired due to Fees

• Current Assignee: Bao Tran
• Original Assignee: Bao Tran
• Inventors: Tran, Bao, Tran, Ha
• Primary Examiner(s): Ahmed, Masud
• Application Number:
  US15/144,773
• Time in Patent Office: 337 Days
• Field of Search: 463 16- 42
• CPC Class Codes: A42B 3/0433 Detecting, signalling or lighting devices
• CPC Class Codes: A42B 3/046 Means for detecting hazards or accidents
• CPC Class Codes: A42B 3/30 Mounting radio sets or communication systems
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• 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 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/053 Measuring electrical impedance or conductance of a portion of the body
• CPC Class Codes: A61B 5/0533 Measuring galvanic skin response
• CPC Class Codes: A61B 5/055 involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
• 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 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/4872 Body fat
• CPC Class Codes: A61B 5/6804 Garments; Clothes
• CPC Class Codes: A61B 5/6806 Gloves
• CPC Class Codes: A61B 5/6895 Sport equipment
• CPC Class Codes: A63B 2071/1233 for the hip
• CPC Class Codes: A63B 2071/125 for the knee
• CPC Class Codes: A63B 2071/1283 for the foot
• CPC Class Codes: A63B 21/072 : Dumb-bells, bar-bells or the like , e.g. weight discs having an integral peripheral handle
• 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 2208/0204 : Standing on the feet
• CPC Class Codes: A63B 2220/12 : Absolute positions, e.g. by using GPS
• CPC Class Codes: A63B 2220/13 : Relative positions
• CPC Class Codes: A63B 2220/16 : Angular positions
• CPC Class Codes: A63B 2220/20 : Distances or displacements
• CPC Class Codes: A63B 2220/24 : Angular displacement
• CPC Class Codes: A63B 2220/30 : Speed
• CPC Class Codes: A63B 2220/40 : Acceleration
• CPC Class Codes: A63B 2220/51 : Force
• CPC Class Codes: A63B 2220/53 : Force of an impact, e.g. blow or punch
• CPC Class Codes: A63B 2220/56 : Pressure
• CPC Class Codes: A63B 2220/72 : Temperature
• CPC Class Codes: A63B 2220/74 : Atmospheric pressure
• CPC Class Codes: A63B 2220/75 : Humidity
• CPC Class Codes: A63B 2220/76 : Wind conditions
• CPC Class Codes: A63B 2220/803 : Motion sensors
• CPC Class Codes: A63B 2220/806 : Video cameras
• CPC Class Codes: A63B 2220/807 : Photo cameras
• CPC Class Codes: A63B 2220/833 : Sensors arranged on the exercise apparatus or sports implement
• CPC Class Codes: A63B 2220/836 : Sensors arranged on the body of the user
• CPC Class Codes: A63B 2225/30 : Maintenance
• 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 2225/74 : with powered illuminating means, e.g. lights
• CPC Class Codes: A63B 2230/04 : heartbeat characteristics, e.g. ECG, blood pressure modulations
• CPC Class Codes: A63B 2230/06 : heartbeat rate only
• CPC Class Codes: A63B 2230/50 : temperature
• CPC Class Codes: A63B 2230/60 : muscle strain, i.e. measured on the user
• CPC Class Codes: A63B 2230/70 : body fat
• CPC Class Codes: A63B 2243/0025 : Football
• CPC Class Codes: A63B 2243/0037 : Basketball
• CPC Class Codes: A63B 2243/0054 : Bowling, i.e. ten-pin bowling
• CPC Class Codes: A63B 2243/0066 : Rugby; American football
• CPC Class Codes: A63B 2243/007 : American football
• CPC Class Codes: A63B 2243/0095 : Volleyball
• CPC Class Codes: A63B 2244/102 : Boxing
• CPC Class Codes: A63B 2244/18 : Skating
• CPC Class Codes: A63B 2244/19 : Skiing
• CPC Class Codes: A63B 2244/20 : Swimming
• CPC Class Codes: A63B 2244/203 : Diving
• CPC Class Codes: A63B 24/0006 : Computerised comparison for qualitative assessment of motion sequences or the course of a movement
• CPC Class Codes: A63B 24/0021 : Tracking a path or terminating locations
• 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 24/0075 : Means for generating exercise programs or schemes, e.g. computerized virtual trainer, e.g. using expert databases
• CPC Class Codes: A63B 43/004 : electrically conductive, e.g. for automatic arbitration
• CPC Class Codes: A63B 60/46 : Measurement devices associated with golf clubs, bats, rackets or the like for measuring physical parameters relating to sporting activity, e.g. baseball bats with impact indicators or bracelets for measuring the golf swing
• CPC Class Codes: A63B 69/0002 : for baseball
• CPC Class Codes: A63B 69/0026 : for ice-hockey
• CPC Class Codes: A63B 69/0028 : for running, jogging or speed-walking movable endless bands A63B22/02
• CPC Class Codes: A63B 69/0048 : for mountaineering, e.g. climbing-walls, grip elements for climbing-walls
• CPC Class Codes: A63B 69/0071 : for basketball
• CPC Class Codes: A63B 69/02 : for fencing , e.g. means for indicating hits
• CPC Class Codes: A63B 69/06 : for rowing or sculling
• CPC Class Codes: A63B 69/16 : for cycling , i.e. arrangements on or for real bicycles
• CPC Class Codes: A63B 69/36 : for golf
• CPC Class Codes: A63B 69/3632 : Clubs or attachments on clubs, e.g. for measuring, aligning A63B69/3614 takes precedence; clubs for swinging exercises in general A63B15/00
• CPC Class Codes: A63B 69/38 : for tennis A63B61/006, A63B69/0073 and A63B69/0097 take precedence
• CPC Class Codes: A63B 71/06 : Indicating or scoring devices for games or players , or for other sports activities
• CPC Class Codes: A63B 71/085 : Mouth or teeth protectors A63B71/081 takes precedence
• CPC Class Codes: A63B 71/10 : for the head A63B71/081 takes precedence ; in the form of caps or hats A42B1/08; helmets A42B3/00
• CPC Class Codes: A63B 71/1216 : for the genital area
• CPC Class Codes: A63B 71/1291 : for the neck
• CPC Class Codes: A63B 71/141 : in the form of gloves
• CPC Class Codes: A63B 71/145 : Boxing gloves
• CPC Class Codes: A63F 11/00 : Game accessories of general use , e.g. score counters, boxes
• CPC Class Codes: A63F 13/211 : using inertial sensors, e.g. accelerometers or gyroscopes
• CPC Class Codes: B33Y 10/00 : Processes of additive manufacturing
• CPC Class Codes: G01L 5/0052 : measuring forces due to impact G01L5/0061, G01L5/14 take precedence; impact testing of structures G01M7/08; impact testing of material G01N3/00
• CPC Class Codes: G06F 1/163 : Wearable computers, e.g. on a belt
• CPC Class Codes: G06F 3/00 : Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
• CPC Class Codes: G06F 3/017 : Gesture based interaction, e.g. based on a set of recognized hand gestures interaction based on gestures traced on a digitiser G06F3/04883
• CPC Class Codes: G06K 19/025 : the material being flexible or adapted for folding, e.g. paper or paper-like materials used in luggage labels, identification tags, forms or identification documents carrying RFIDs methods for testing the genuineness of valuable papers, e.g. banknotes or passports G07D7/00; constructional features of booklets and the like B42D
• CPC Class Codes: G06K 19/07762 : the adhering arrangement making the record carrier wearable, e.g. having the form of a ring, watch, glove or bracelet record carriers for insertion in the human body for medical purposes A61B90/00; record carriers adapted for attachment to animals A01K11/00
• CPC Class Codes: G06Q 40/08 : Insurance
• CPC Class Codes: G06V 20/20 : in augmented reality scenes
• CPC Class Codes: G06V 40/23 : Recognition of whole body movements, e.g. for sport training
• CPC Class Codes: G06V 40/28 : Recognition of hand or arm movements, e.g. recognition of deaf sign language static hand signs G06V40/113
• CPC Class Codes: G09B 19/003 : Repetitive work cycles; Sequence of movements
• 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 30/20 : for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 40/63 : for local operation
• CPC Class Codes: G16H 40/67 : for remote operation
• CPC Class Codes: G16H 50/20 : for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16Y 10/65 : Entertainment or amusement; Sports
• CPC Class Codes: H04B 1/04 : Circuits
• CPC Class Codes: H04L 67/10 : in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04N 23/54 : Mounting of pick-up tubes, electronic image sensors, deviation or focusing coils
• CPC Class Codes: H04N 7/18 : Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
• CPC Class Codes: H04Q 2209/40 : using a wireless architecture
• CPC Class Codes: H04Q 9/00 : Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
• CPC Class Codes: H04W 4/38 : for collecting sensor information
• CPC Class Codes: H04W 84/18 : Self-organising networks, e.g. ad-hoc networks or sensor networks
• CPC Class Codes: H04W 88/02 : Terminal devices

Abstract

An Internet of Thing (IoT) sport device includes a light source; sensors including a camera and a microphone array; a processor coupled to the light source and the sensor; and a wireless transceiver coupled to the processor.

Claims

1. A glove comprising:

a glove body;

a processor in the glove body and coupled to a wireless transceiver;

a camera sensor coupled to the glove body to provide a 3D model of an object and a distance of the object from the glove to the processor to be displayed on a display; and

an accelerometer disposed within the glove body to detect acceleration of the glove; and

a module to compare a professional motion with a user motion to improve a play.

2. The glove of claim 1, wherein at least one sensor selected from a sensor set comprising:

a pressure sensor configured to detect at least one pressure event at a glove body external surface location;

a glove motion sensor configured to detect at least one motion event of the glove;

a digit motion sensor configured to detect at least one motion event of at least one digit of the user;

a temperature sensor configured to detect a temperature at a glove body external surface location; and

a contact sensor configured to detect a contact event of the glove with a contact object.

3. The glove of claim 1, wherein the sensor comprises at least one of the same as the second sensor or different than the second sensor, the hand exercise event at least one of the same as the second hand exercise event or different than the second hand exercise event.

4. The glove of claim 1, comprising a hand exercise regimen selected from a hand exercise regimen set comprising at least one of:

a physical therapy hand exercise regimen;

a physical training hand exercise regimen;

or a physical performance hand exercise regimen.

5. The glove of claim 1, comprising a gesture identifying component configured to identify at least one hand gesture detected by at least one sensor;

the memory configured to, upon receiving an indication of a hand gesture identified by the gesture identifying component, store data corresponding to the hand gesture in the memory; and

the device interface configured to, upon connecting to the device, provide at least some of the stored data corresponding to the hand gesture to the device.

6. The glove of claim 1, comprising a plurality of finger receptacles, each having a sensor.

7. The glove of claim 1, comprising a sensor worn by an opponent in wireless communication with the processor to communicate the force of an impact from the glove.

8. The glove of claim 1, wherein the glove body comprises a boxing glove body.

9. The glove of claim 1, comprising a hidden markov model module to detect muscle movement and exercise pattern.

10. The glove of claim 1, comprising an emotion detector wherein an exercise can be increased, decreased, or stopped based on detected emotion.

11. A system for measuring a force of impact of a boxing glove of a boxer comprising:

an accelerometer disposed in the boxing glove of the boxer for measuring the force of impact of the boxing glove on an opponent;

a camera sensor coupled to the glove body to capture a 3D model of an anatomical part and a distance of the part to the boxing glove;

a radio frequency transmitter disposed in the boxing glove and coupled to the accelerometer for transmitting impact measurements;

a radio frequency receiver for receiving the impact measurements; and

a display coupled to the radio frequency receiver for displaying the measured impacts, the anatomical part being hit and the force on the anatomical part.

12. The system of claim 11, wherein at least one sensor selected from a sensor set comprising:

a pressure sensor configured to detect at least one pressure event at a glove body external surface location;

a glove motion sensor configured to detect at least one motion event of the glove;

a digit motion sensor configured to detect at least one motion event of at least one digit of the user;

a temperature sensor configured to detect a temperature at a glove body external surface location; and

a contact sensor configured to detect a contact event of the glove with a contact object.

13. The system of claim 11, wherein the sensor comprises at least one of the same as the second sensor or different than the second sensor, the hand exercise event at least one of the same as the second hand exercise event or different than the second hand exercise event.

14. The system of claim 11, wherein a hand exercise regimen selected from a hand exercise regimen set comprises at least one of:

a physical therapy hand exercise regimen;

a physical training hand exercise regimen;

or a physical performance hand exercise regimen.

15. The system of claim 11, wherein the glove comprises a gesture identifying component configured to identify at least one hand gesture detected by at least one sensor;

the memory configured to, upon receiving an indication of a hand gesture identified by the gesture identifying component, store data corresponding to the hand gesture in the memory; and

the device interface configured to, upon connecting to the device, provide at least some of the stored data corresponding to the hand gesture to the device.

16. The system of claim 11, wherein the glove comprises a plurality of finger receptacles, each having a sensor.

17. The system of claim 11, comprising a sensor worn by an opponent in wireless communication with the processor to communicate the force of an impact from the glove and a module to:

receive views of a live event from the handle camera and from one or more external cameras;

augment the views with a viewer action as detected by sensors coupled to a viewer; and

compare a professional result with the viewer action.

18. The system of claim 11, wherein the glove body comprises a boxing glove body.

19. The system of claim 11, comprising a hidden markov model module to detect muscle movement and exercise pattern.

20. The system of claim 11, comprising an emotion detector wherein an exercise can be increased, decreased, or stopped based on detected emotion.