US 12,290,730 B2
Connected hockey training systems and methods
William G Near, Portsmouth, NH (US)
Assigned to HELIOS SPORTS, INC.
Filed by Helios Sports, Inc., Portsmouth, NH (US)
Filed on Dec. 23, 2021, as Appl. No. 17/560,616.
Claims priority of provisional application 63/130,107, filed on Dec. 23, 2020.
Prior Publication US 2022/0193515 A1, Jun. 23, 2022
Int. Cl. A63B 69/00 (2006.01); A63B 24/00 (2006.01); A63B 67/14 (2006.01); A63B 71/06 (2006.01)
CPC A63B 69/0026 (2013.01) [A63B 24/0021 (2013.01); A63B 67/14 (2013.01); A63B 71/0622 (2013.01); A63B 2024/0028 (2013.01); A63B 2071/0638 (2013.01); A63B 2071/0647 (2013.01); A63B 2071/0666 (2013.01); A63B 2214/00 (2020.08); A63B 2225/54 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A hockey motion training system comprising:
a smart puck having an electronics board embedded therein, wherein the electronics board is coupled to an RFID scanning system, configured to read a plurality of RFID tags, and a wireless communication component configured to transferred scanned RFID tag data to a computing device;
a grid of RFID tags embedded in or disposed under a training surface;
a plurality of targetable RIFD tags disposed about a target positioned above the training surface;
a training application running on the computing device, and configured to:
receive mapping data associated with the grid of RFID tags, and mapping data
associated with the plurality of targetable RFID tags,
receive sensed RFID tag data from the smart puck,
generate and display motion data associated with the smart puck based on comparing received mapping data from both the grid of RFID tags and plurality of targetable RFID tags, to the received sensed RFID tag data from the smart puck to generate location data of the smart puck at a given time relative to at least one of the grid of RFID tags and/or at least one of the plurality of targetable RFID tags; and
wherein the generating and displaying comprises displaying, on a computing device, a virtual representation of the training surface and a virtual puck positioned relative to the training surface; and
saving and generating statistics based on the generated motion data, the statistics comprising an accuracy of path of the smart hockey puck, top speed of the smart hockey puck, average speed, and a comparison of the generated motion data to a second generated motion data.