Abstract: Raw motion data generated by sensors affixed to a user performing exercises or poses in response to perceiving content annotated with a motion track and presented to the user, the motion track generated using a posture dictionary is collected. The exercises or poses are determined from the raw motion data using the posture dictionary. Motion data indicating the exercises or poses within the raw motion data is generated using the raw motion data. The user is graded in performing the exercises or poses by comparing the motion data with the motion track. The content is presented to the user based on the grading of the user.
Type:
Grant
Filed:
April 12, 2022
Date of Patent:
May 7, 2024
Assignee:
Asensei, Inc
Inventors:
Steven Webster, Ross Arnott, William Burgar
Abstract: Raw motion data generated by sensors affixed to a user performing exercises or poses in response to perceiving content annotated with a motion track and presented to the user, the motion track generated using a posture dictionary is collected. The exercises or poses are determined from the raw motion data using the posture dictionary. Motion data indicating the exercises or poses within the raw motion data is generated using the raw motion data. The user is graded in performing the exercises or poses by comparing the motion data with the motion track. The content is presented to the user based on the grading of the user.
Type:
Grant
Filed:
July 23, 2019
Date of Patent:
April 12, 2022
Assignee:
Asensei, Inc.
Inventors:
Steven Webster, Ross Arnott, William Burgar
Abstract: Raw motion data generated by sensors affixed to a user performing exercises or poses in response to perceiving content annotated with a motion track and presented to the user, the motion track generated using a posture dictionary is collected. The exercises or poses are determined from the raw motion data using the posture dictionary. Motion data indicating the exercises or poses within the raw motion data is generated using the raw motion data. The user is graded in performing the exercises or poses by comparing the motion data with the motion track. The content is presented to the user based on the grading of the user.
Type:
Application
Filed:
July 23, 2019
Publication date:
November 14, 2019
Applicant:
ASENSEI, INC.
Inventors:
Steven Webster, Ross Arnott, William Burgar
Abstract: Raw motion data generated by sensors affixed to a user performing exercises or poses in response to perceiving content annotated with a motion track and presented to the user, the motion track generated using a posture dictionary is collected. The exercises or poses are determined from the raw motion data using the posture dictionary. Motion data indicating the exercises or poses within the raw motion data is generated using the raw motion data. The user is graded in performing the exercises or poses by comparing the motion data with the motion track. The content is presented to the user based on the grading of the user.
Type:
Grant
Filed:
January 5, 2016
Date of Patent:
July 23, 2019
Assignee:
ASENSEI, INC.
Inventors:
Steven Webster, Ross Arnott, William Burgar
Abstract: Raw motion data generated by sensors affixed to a user performing exercises or poses in response to perceiving content annotated with a motion track and presented to the user, the motion track generated using a posture dictionary is collected. The exercises or poses are determined from the raw motion data using the posture dictionary. Motion data indicating the exercises or poses within the raw motion data is generated using the raw motion data. The user is graded in performing the exercises or poses by comparing the motion data with the motion track. The content is presented to the user based on the grading of the user.
Type:
Application
Filed:
January 5, 2016
Publication date:
July 7, 2016
Applicant:
ASENSEI, INC.
Inventors:
Steven Webster, Ross Arnott, William Burgar