Multi-sensor event correlation system
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.
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.