REPETITION COUNTING AND CLASSIFICATION OF MOVEMENTS SYSTEMS AND METHODS

Patent №

US 11,450,010

Granted

2022-09-20

Filed 2021

Owner

NEX TEAM INC.

Lab

AI components

4

ml · vision · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17503295

Methods and systems for determining and classifying a number of repetitive motions in a video are described, and include the steps of first determining a plurality of images from a video, where the images are segmented from at least one video frame of the video. Next, performing a pose detection process on a feature of the images to generate one or more landmarks. Next, determining one or more principle component axes on points associated with a given landmark. Finally, determining at least one repetitive motion based on a pattern associated with a projection of the points onto the one or more principle components. In some embodiments, the disclosed methods can classify the repetitive motions to respective types. The present invention can be implemented for convenient use on a mobile computing device, such as a smartphone, for tracking exercises and similar repetitive motions.

Machine learningVisionPlanningAI hardwareG06T 7/246G06V 10/82G06V 40/23G06T 2207/10016G06T 2207/20081G06T 2207/20084G06T 2207/30196

AI classification

Vision1.00
AI hardware0.99
Machine learning0.79
Planning0.63
Natural language0.10
Knowledge representation0.08
Evolutionary computation0.00
Speech0.00

Ownership

NEX TEAM INC.

assignment · 578120793

Assignors

SUNG, ON LOY, ZHANG, QI, LEE, KENG FAI, MAK, SHING FAT, DEJOS, DANIEL, CHAN, MAN HON

On an employer assignment, the assignors are typically the inventors.

From the same owner

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