Multi-sensor event correlation system

• US 10,339,978 B2
• Filed: 11/28/2017
• Issued: 07/02/2019
• Est. Priority Date: 08/26/2010
• Status: Active Grant

• Current Assignee: Newlight Capital, LLC
• Original Assignee: Blast Motion Incorporated
• Inventors: Bose, Bhaskar, Bentley, Michael, Kaps, Ryan
• Primary Examiner(s): Deodhar, Omkar
• Application Number:
  US15/824,998
• Publication Number:
  US 20180082717A1
• Time in Patent Office: 581 Days
• CPC Class Codes: A63B 2024/0071 Distinction between different activities, movements, or kind of sports performed
• CPC Class Codes: A63B 2220/34 Angular speed
• CPC Class Codes: A63B 2220/44 Angular acceleration
• CPC Class Codes: A63B 2220/803 Motion sensors
• CPC Class Codes: A63B 2220/806 Video cameras
• CPC Class Codes: A63B 2225/20 with means for remote communication, e.g. internet or the like
• CPC Class Codes: A63B 2230/06 heartbeat rate only
• 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 71/06 Indicating or scoring devices for games or players , or for other sports activities
• CPC Class Codes: A63F 13/00 Video games, i.e. games using an electronically generated display having two or more dimensions gaming systems which provide a financial reward G07F17/32
• CPC Class Codes: A63F 13/211 using inertial sensors, e.g. accelerometers or gyroscopes
• CPC Class Codes: A63F 13/212 using sensors worn by the player, e.g. for measuring heart beat or leg activity
• CPC Class Codes: A63F 13/213 comprising photodetecting means, e.g. cameras, photodiodes or infrared cells A63F13/219, A63F13/655 take precedence
• CPC Class Codes: A63F 13/217 using environment-related information, i.e. information generated otherwise than by the player, e.g. ambient temperature or humidity
• CPC Class Codes: A63F 2300/105 using inertial sensors, e.g. accelerometers, gyroscopes
• CPC Class Codes: A63F 2300/69 Involving elements of the real world in the game world, e.g. measurement in live races, real video
• CPC Class Codes: G01P 13/00 Indicating or recording presence, absence, or direction, of movement electric switches H01H; counting moving objects G06M7/00
• CPC Class Codes: G06T 2207/10016 Video; Image sequence
• CPC Class Codes: G06T 2207/30221 Sports video; Sports image
• CPC Class Codes: G06T 7/20 : Analysis of motion motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51
• CPC Class Codes: G06V 20/40 : in video content extracting overlay text G06V20/62; video retrieval G06F16/70; processing of video elementary streams in video servers H04N21/234; processing of video elementary streams in video clients H04N21/44
• CPC Class Codes: G06V 20/42 : of sport video content
• CPC Class Codes: G06V 20/44 : Event detection
• CPC Class Codes: G06V 40/23 : Recognition of whole body movements, e.g. for sport training
• CPC Class Codes: G08B 21/043 : detecting an emergency event, e.g. a fall
• CPC Class Codes: G08B 21/0492 : Sensor dual technology, i.e. two or more technologies collaborate to extract unsafe condition, e.g. video tracking and RFID tracking
• CPC Class Codes: G08B 25/016 : Personal emergency signalling and security systems emergency non-personal manually actuated alarm activators G08B25/12
• CPC Class Codes: G11B 20/10527 : Audio or video recording; Data buffering arrangements G11B20/12 - G11B20/18 take precedence
• CPC Class Codes: G11B 2020/10592 : specifically adapted for recording or reproducing multichannel signals
• CPC Class Codes: G11B 27/031 : Electronic editing of digitised analogue information signals, e.g. audio or video signals
• CPC Class Codes: G11B 27/34 : Indicating arrangements indicating means incorporated in magazine or cassette G11B23/046 and G11B23/0875; indicating measured values in general G01D
• CPC Class Codes: H04N 23/80 : Camera processing pipelines; Components thereof
• CPC Class Codes: H04N 23/90 : Arrangement of cameras or camera modules, e.g. multiple cameras in TV studios or sports stadiums
• CPC Class Codes: H04N 5/765 : Interface circuits between an apparatus for recording and another apparatus
• CPC Class Codes: H04N 5/77 : between a recording apparatus and a television camera
• CPC Class Codes: H04N 5/91 : Television signal processing therefor
• CPC Class Codes: H04N 7/188 : Capturing isolated or intermittent images triggered by the occurrence of a predetermined event, e.g. an object reaching a predetermined position signal generation from motion picture films H04N5/253

Abstract

A sensor event detection and tagging system that analyzes data from multiple sensors to detect an event and to automatically select or generate tags for the event. Sensors may include for example a motion capture sensor and one or more additional sensors that measure values such as temperature, humidity, wind or elevation. Tags and event detection may be performed by a microprocessor associated with or integrated with the sensors, or by a computer that receives data from the microprocessor. Tags may represent for example activity types, players, performance levels, or scoring results. The system may analyze social media postings to confirm or augment event tags. Users may filter and analyze saved events based on the assigned tags. The system may create highlight and fail reels filtered by metrics and by tags.

Claims

1. A multi-sensor event correlation system comprising:

at least one motion capture element configured to couple with a user or piece of equipment or mobile device coupled with the user, wherein said at least one motion capture element comprises

a sensor data memory;

a sensor configured to capture one or more values associated with an orientation, position, velocity, acceleration, angular velocity, and angular acceleration of said at least one motion capture element;

a first communication interface configured to receive communications, or one or more other values associated with an environmental sensor, a physiological sensor or both said environmental sensor and said physiological sensor or said communications and said one or more other values

or

at least one other sensor configured to locally capture said one or more other values associated with said environmental sensor, said physiological sensor or both said environmental sensor and said physiological sensor

or both said first communication interface and said at least one other sensor; and

,

a microprocessor coupled with said sensor data memory, said sensor and said first communication interface, wherein said microprocessor is configured to

collect data that comprises sensor values that include said one or more values from said sensor;

store said data in said sensor data memory

or

analyze said data and recognize an event within said data to determine event data

or

store said data in said sensor data memory and analyze said data and recognize said event within said data to determine said event data; and

,

transmit said data or said event data or both said data and said event data, and

process said communications

or

transmit said one or more other values associated with said environmental sensor, said physiological sensor or both said environmental sensor and said physiological sensor,

or

process said communications and transmit said one or more other values to

a computer, said computer comprising

a computer memory; and

,

a second communication interface configured to communicate with said first communication interface to obtain

said data or said event data associated with said event or both said data and said event data

or

said one or more other values associated with said environmental sensor, said physiological sensor or both said environmental sensor and said physiological sensor

or both said data or said event data and

said one or more other values;

wherein said computer is coupled with said computer memory and is coupled with said second communication interface;

wherein said microprocessor is, or said computer is, or both said microprocessor and said computer are configured to

correlate said data or said event data with said one or more other values associated with said environmental sensor, said physiological sensor or both said environmental sensor and said physiological sensor to differentiate a first type of event with respect to a second type of event or a first type of activity with respect to a second type of activity or a first type of equipment with respect to a second type of equipment to determine at least one of

a type of event or true event or a false positive event selected from a plurality of types of events or

a type of equipment that said at least one motion capture element is coupled with selected from a plurality of types of equipment or

a type of activity indicated by said data or said event data selected from a plurality of types of activities.

2. The system of claim 1, wherein said microprocessor is, or said computer is, or both said microprocessor and said computer are further configured to further determine one or more tags for said event and wherein said one or more tags represent one or more of

an activity type of said event;

a location of said event;

a timestamp of said event;

a stage of an activity associated with said event;

a player identity associated with said event;

a performance level associated with said event; and

,

a scoring result associated with said event.

3. The system of claim 2 wherein said microprocessor is, or said computer is, or both said microprocessor and said computer are further configured to analyze one or more of text, audio, image, and video from a server to determine said one or more tags for said event.

4. The system of claim 3, wherein said server comprises one or more of an email server, a social media site, a photo sharing site, a video sharing site, a blog, a wiki, a database, a newsgroup, an RSS server, a multimedia repository, a document repository, and a text message server.

5. The system of claim 3, wherein said analyze one or more of text, audio, image, and video comprises search said text for key words or key phrases related to said event.

6. The system of claim 3, wherein said microprocessor is, or said computer is, or both said microprocessor and said computer are further configured to analyze said one or more of text, audio, image, and video from a server to confirm said event for a particular location and time to create a confirmed event.

7. The system of claim 1 wherein said microprocessor is, or said computer is, or both said microprocessor and said computer are further configured to recognize a location of said sensor on said piece of equipment or said user based on said data or said event data.

8. The system of claim 1 wherein said microprocessor is, or said computer is, or both said microprocessor and said computer are further configured to collect said sensor values from said sensor based on a sensor personality selected from a plurality of sensor personalities, wherein the sensor personality is configured to control sensor settings to collect the data in an optimal manner with respect to a specific type of movement or said type of activity associated with a specific piece of equipment or type of clothing.

9. The system of claim 1, wherein

said microprocessor is, or said computer is, or both said microprocessor and said computer are further configured to determine said false positive event as

detect a first value from said sensor values having a first threshold value and

detect a second value from said sensor values having a second threshold value within a time window;

signify a prospective event;

compare said prospective event to a characteristic signal associated with a typical event and eliminate any false positive events; and

,

signify said true event if said prospective event is not said false positive event.

10. The system of claim 1, wherein said microprocessor is, or said computer is, or both said microprocessor and said computer are further configured to recognize said at least one motion capture element with newly assigned locations after said at least one motion capture element is removed from said piece of equipment and coupled with a second piece of equipment of a different type based on said data or event data.

11. The system of claim 1 wherein said at least one motion capture element is contained within one or more of a motion capture element mount, said mobile device, a mobile phone, a smart phone, a smart watch, a camera, a laptop computer, a notebook computer, a tablet computer, a desktop computer, and a server computer, or any combination of any number of said motion capture element mount, said mobile device, said mobile phone, said smart phone, said smart watch, said camera, said laptop computer, said notebook computer, said tablet computer, said desktop computer and said server computer.

12. The system of claim 1 wherein said microprocessor is, or said computer is, or both said microprocessor and said computer are further configured to transmit said at least one of said data, said event data, said type of event, said true event, said false positive event, said type of equipment, said type of activity, and said one or more tags for said event to one or more of a repository, a viewer, a server, another computer, a social media site, said mobile device, a network, and an emergency service.

13. The system of claim 1

wherein said computer is further configured to

receive

said data from said second communication interface and analyze said data and recognize said event within said data to determine event data,

or

said event data from said second communication interface,

or

both said data and said event data from said second communication interface;

analyze said event data to form motion analysis data;

store said event data, or said motion analysis data, or both said event data and said motion analysis data in said computer memory;

obtain an event start time and an event stop time from said event data or from said motion analysis data;

obtain at least one video start time and at least one video stop time associated with at least one video;

synchronize said event data, said motion analysis data or any combination thereof with said at least one video based on

a first time associated with said data or said event data obtained from said at least one motion capture element coupled with said user or said piece of equipment or said mobile device coupled with the user and

at least one time associated with said at least one video to

create at least one synchronized event video; and

,

store said at least one synchronized event video in said computer memory without at least a portion of said at least one video outside of said event start time to said event stop time.

14. The system of claim 13 wherein said computer further comprises at least one processor in one or more of said mobile device, a mobile phone, a smart phone, a smart watch, a camera, a laptop computer, a notebook computer, a tablet computer, a desktop computer, and a server computer, or any combination of any number of said mobile device, said mobile phone, said smart phone, said smart watch, said camera, said laptop computer, said notebook computer, said tablet computer, said desktop computer and said server computer and wherein said computer is further configured to

receive

said data from said second communication interface and analyze said data to determine said one or more tags for said event,

or

said one or more tags for said event from said second communication interface;

store said one or more tags for said event in said computer memory.

15. The system of claim 14 wherein said computer is coupled with a video display and is further configured to

display on said video display both of

said event data, said motion analysis data or any combination thereof that occurs during a timespan from said event start time to said event stop time;

and,

said at least one synchronized event video.

16. The system of claim 14 wherein said computer is further configured to discard or

instruct another computer to discard or

instruct said camera to discard

said at least a portion of said at least one video outside of said event start time to said event stop time.

17. The system of claim 14 wherein said camera comprises at least one camera and said computer is further configured to

send a control message

locally to said at least one camera coupled with said computer or

externally to said at least one camera,

to modify video recording parameters of said at least one video associated with said at least one camera based on said data or said event data or said motion analysis data;

wherein said video recording parameters comprise one or more of frame rate, resolution, color depth, color or grayscale, compression method, compression quality, and recording on or off.

18. The system of claim 14 wherein said computer is further configured to transmit one or more of said one or more tags for said event, said event or said type of event, and said true event to one or more of a repository, a viewer, a server, another computer, a social media site, said mobile device, a network, and an emergency service.

19. The system of claim 14 wherein said computer is further configured to

accept a metric or one or more tags associated with said at least one synchronized event video;

accept selection criteria for said metric or said one or more tags;

determine a matching set of synchronized event videos that have a value or values associated with said metric or with said one or more tags that pass said selection criteria; and

,

display said matching set of synchronized event videos or corresponding thumbnails thereof along with said value or values associated with said metric or said one or more tags for each of said matching set of synchronized event videos or said corresponding thumbnails.

20. The system of claim 14 wherein said computer is further configured to

accept one or more user selected tags for said event;

and,

store said one or more user selected tags for said event in said computer memory.

21. The system of claim 19 wherein said computer is further configured to generate a highlight reel or fail reel of said matching set of synchronized event videos.

22. The system of claim 14, wherein

said sensor or said computer is coupled with a microphone that records audio signals;

and,

said recognize said event comprises

a determination of a prospective event based on said data; and

,

a correlation of said data with said audio signals to determine if said prospective event is said true event or said false positive event.

23. The system of claim 22, wherein said computer is further configured to store said audio signals in said computer memory with said at least one synchronized event video if said prospective event is said true event.

24. The system of claim 22, wherein said computer is further configured to synchronize said motion analysis data with said at least one video based on image analysis to more accurately determine a start event frame or stop event frame in said at least one video or both said start event frame and said stop event frame, that is most closely associated with said event start time or said event stop time or both said start event frame and said stop event frame.

25. The system of claim 14 wherein said computer is further configured to

access previously stored event data or motion analysis data associated with said user or piece of equipment;

and,

display information comprising a presentation of said event data associated with said user on a display based on

said event data or motion analysis data associated with said user or piece of equipment;

and,

said previously stored event data or motion analysis data associated with said user or piece of equipment.

26. The system of claim 14 wherein said computer is further configured to

access previously stored event data or motion analysis data associated with at least one other user or at least one other piece of equipment;

and,

display information comprising a presentation of said event data associated with said user on a display based on

said event data or motion analysis data associated with said user or piece of equipment;

and,

said previously stored event data or motion analysis data associated with said at least one other user or said at least one other piece of equipment.

27. The system of claim 14 wherein said microprocessor in said at least one motion capture element is further configured to transmit said event or a detection of said event to at least one other motion capture element or said computer or at least one other mobile device or any combination thereof, and wherein said at least one other motion capture element or said computer or said at least one other mobile device or any combination thereof is configured to save data or transmit data or both save data and transmit data associated with said event even if said at least one other motion capture element has not detected said event.

28. The system of claim 14 wherein said computer is further configured to

request or broadcast a request for cameras having locations proximal to said event or oriented to view said event or both having locations proximal to and oriented to view said event;

and,

request said at least one video from said at least one camera of said cameras, wherein said at least one video contains said event without said at least a portion of said at least one video outside of said event start time to said event stop time.

29. The system of claim 14 wherein said computer is further configured to confirm said event for a particular location and time by analyzing one or more of text, audio, image, and video from a server to create a confirmed event.

30. The system of claim 14 wherein said computer is further configured to determine said one or more tags for said event by analyzing one or more of text, audio, image, and video from a server.