Multi-sensor event system
A system that analyzes data from multiple sensors, potentially of different types, that track motions of players, equipment, and projectiles such as balls. Data from different sensors is combined to generate integrated metrics for events and activities. Illustrative sensors may include inertial sensors, cameras, radars, and light gates. As an illustrative example, a video camera may track motion of a pitched baseball, and an inertial sensor may track motion of a bat; the system may use the combined data to analyze the effectiveness of the swing in hitting the pitch. The system may also use sensor data to automatically select or generate tags for an event; 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.
1. A multi-sensor event system comprising
a plurality of sensors, wherein
each sensor of said plurality of sensors measures motion of a different object of a plurality of objects;
said plurality of objects comprises two or more of
a player;
a piece of equipment worn by, attached to, carried by, or used by said player;
a projectile configured to be contacted by said player or by said piece of equipment;
a computer comprising
a communications interface configured to receive sensor data from said plurality of sensors;
a processor coupled to said communications interface and configured to
receive said sensor data from said communications interface;
synchronize said sensor data to a common time scale, forming synchronized sensor data;
analyze said synchronized sensor data to
detect an event;
calculate one or more metrics for said event wherein said one or more metrics comprises two trajectories associated respectfully with
said player or said piece of equipment worn by, attached to, carried by, or used by said player
and
said projectile configured to be contacted by said player or by said piece of equipment;
display spatial deviation and temporal deviation between
said player or said piece of equipment worn by, attached to, carried by, or used by said player
and
said projectile configured to be contacted by said player or by said piece of equipment.
2. The multi-sensor event system of claim 1 , wherein said processor is further configured to
display an accuracy metric based on said spatial deviation and temporal deviation.
3. The multi-sensor event system of claim 1 , wherein said projectile comprises one or more of a ball, a football, a rugby ball, an Australian rules football, a soccer ball, a volleyball, a water polo ball, a polo ball, a basketball, a lacrosse ball, a field hockey ball, a croquet ball, a billiard ball, a horseshoe, a shuffleboard disc, a tennis ball, a ping pong ball, a racquet ball, a hand ball, a bocce ball, a lawn dart, a squash ball, a shuttlecock, a baseball, a softball, a golf ball, a bowling ball, a hockey puck, a dodgeball, a kick ball, a Wiffle™ ball, a javelin, a shot put, a discus, a marble, a bullet, an arrow, a knife, a throwing star, a bolas, a grenade, a water balloon, a boomerang, a Frisbee™, a caber, and a curling stone.
4. The multi-sensor event system of claim 1 , wherein said piece of equipment comprises one or more of a bat, a racquet, a paddle, a golf club, a bow, a gun, a slingshot, a sabre, a quarterstaff, a lacrosse stick, a hockey stick, a field hockey stick, a polo mallet, a croquet mallet, a pool cue, a shuffleboard cue, a glove, a shoe, a belt, a watch, a helmet, a cap, a ski, a snowboard, a skateboard, a surfboard, an ice skate, a sled, a luge, a windsurfing board, a hang glider, a roller skate, a roller blade, a vehicle, a snowmobile, a jet ski, a bicycle, a tricycle, a unicycle, a motorcycle, a snowmobile, and a mechanical bull.
5. The multi-sensor event system of claim 1 , wherein said plurality of sensors comprises two or more of
an inertial motion sensor;
a video camera;
a light gate; and,
a radar.
6. The multi-sensor event system of claim 1 , wherein said plurality of sensors comprises
a first inertial sensor coupled to said piece of equipment, and configured to measure one or more of a position, an orientation, a velocity, an angular velocity, an acceleration, and an angular acceleration of said piece of equipment,
a second sensor configured to measure motion of said projectile, wherein said second sensor comprises one or more of a video camera, a light gate, a radar, or a second inertial sensor.
7. The multi-sensor event system of claim 1 , wherein said plurality of objects comprises
said piece of equipment, and
said projectile;
said event comprises a motion of said projectile and motion of said player or a swing of said piece of equipment by said player to attempt to hit said projectile.
8. The multi-sensor event system of claim 7 , wherein said piece of equipment is a bat;
said projectile is a ball;
said motion of said projectile is a pitch of said ball.
9. The multi-sensor event system of claim 8 , wherein said metrics comprise a reaction time comprising an elapsed time between a pitch start time when said ball leaves a pitcher and a swing start time when said player starts acceleration of said bat towards said ball for said swing.
10. The multi-sensor event system of claim 7 , wherein said processor is further configured to display
a projectile trajectory from said sensor data;
a piece of equipment trajectory from said sensor data.
11. The multi-sensor event system of claim 10 , wherein said piece of equipment trajectory is a trajectory of a preferred hitting location on said piece of equipment.
12. The multi-sensor event system of claim 11 , wherein
said piece of equipment is a bat;
said preferred hitting location is a sweet spot of said bat.
13. The multi-sensor event system of claim 10 , wherein
said processor is further configured to calculate an optimal hitting point on said projectile trajectory,
said optimal hitting point comprising an optimal hitting time and an optimal hitting location; said one or more metrics comprise one or more of
a swing accuracy metric calculated from a vector difference between said optimal hitting location and a location of said piece of equipment trajectory at said optimal hitting time;
a spatial deviation metric calculated from a vector difference between said optimal hitting location and a closest point on said piece of equipment trajectory to said optimal hitting location;
a temporal deviation metric calculated from a time difference between said optimal hitting time and a time at which said piece of equipment trajectory reaches said closest point on said piece of equipment trajectory to said optimal hitting location.
14. The multi-sensor event system of claim 1 , further comprising
an event database;
wherein said event system is further configured to
analyze said synchronized sensor data to determine one or more tags for said event;
store one or both of said synchronized sensor data and said one or more metrics for said event in said event database;
store said one or more tags in said event database with said event.
15. The multi-sensor event system of claim 14 , wherein said event system is further configured to
analyze one or more of text, audio, image, and video from a computer or server to determine said one or more tags for said event.
16. The multi-sensor event system of claim 15 , wherein said one or more of text, audio, image, and video comprise one or more of email messages, voice calls, voicemails, audio recordings, video calls, video messages, video recordings, text messages, chat messages, postings on social media sites, postings on blogs, or postings on wikis.
17. The multi-sensor event system of claim 15 , 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.
18. The multi-sensor event system of claim 15 , wherein said analyzing one or more of text, audio, image, and video comprises searching said text for key words or key phrases related to said event.
19. The multi-sensor event system of claim 14 , 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;
a scoring result associated with said event.
20. The multi-sensor event system of claim 14 , wherein said event analysis and tagging system is further configured to publish said event and one or more of said one or more tags to a social media site.