Motion event recognition and video synchronization system and method

Abstract

The present invention allows events to be identified within motion data obtained from a portable wireless motion capture element based on their location and / or time, or both, and video-synchronized to the video when the event occurs or at some later time. The present invention can automatically generate a generally smaller event video of the event on the mobile device or server using an integral camera on the mobile device or an external camera. The invention also allows analysis or comparison of movements associated with the same user, other users, historical users or groups of users. The present invention provides low memory and power usage, and significantly reduces the storage of video data corresponding to events such as a player hitting a ball, moving or swinging, a player having a concussion, or other medically relevant events, or Events such as a child's first walk or a fall event.

Description

technical field [0001] One or more embodiments relate to the field of motion capture data analysis and based on events recognized within the motion capture data or within motion analysis data associated with a user or equipment and / or based on information from the user or other (multiple bit) previous motion analysis data of the user and / or equipment to display the information. More specifically (but not limitation), one or more embodiments implement an athletic event recognition and video synchronization system and method that allows for the recognition of events within athletic data, including a player's shot, movement, or swing. athlete, boxer, jockey or biker concussion, or heat stroke, hypothermia, sudden illness, asthma attack, seizure, or any other sports or physical movement related event including walking and falling. A motion event may be correlated and / or otherwise synchronized with the image(s) or video(s), either at the time of the event or at some later time bas...

AI Technical Summary

Problems solved by technology

Known systems do not allow data mining of motion capture data from large swipes to suggest or allow a search for better or optimal gear to match the user's motion capture data, and do not allow original equipment manufacturers (OEMs) to make Business decisions, such as improving its products, comparing its products with other manufacturers, overpromoting products, or contacting users who may purchase different or more profitable products

[0011] Furthermore, there is no known system that utilizes motion capture data mining for equipment fitting and subsequent point-of-sale decision making regarding the immediate purchase of athlete-fit equipment

Furthermore, there are no known systems that allow custom order fulfillment, such as Assembly Oriented Order (ATO) for custom order fulfillment of sports equipment, e.g. built to customer specifications based on motion capture data mining and shipped e.g. during games or virtual reality games Equipping customers to complete point-of-sale processing

[0012] Additionally, there are no known systems using mobile devices and RFID tags for passive compliance and monitoring applications

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