US 2026/0221277 A1 · METHODS AND SYSTEMS FOR ACTIVITY DETECTION AND QUANTIFICATION OF MOVEMENT KINEMATICS

Abstract

The techniques described herein relate to computerized methods and systems for determining a type and/or kinematic characteristics of activities performed by a subject using one or more statistical models and training of such models. In some embodiments, a system may receive sensor data from one or more sensors indicating movement of one or more body portions of a subject, and using an activity identification statistical model to determine a type of activity. In some embodiments, a system may receive sensor data from the one or more sensors, and use a kinematic characteristic statistical model to determine one or more kinematic characteristics of the activity based on the sensor data. In some embodiments, the output of the activity identification statistical model and/or the output from the kinematic characteristic statistical model may be used with the other model. In some embodiments, the above concepts may be implemented using a single statistical model.

Claims68

Dependent claims

A system for activity identification and characterizing movement kinematics, the system comprising:

at least one processor configured to:
receive sensor data from two or more sensors indicating movement of two or more body portions of a subject during movement of the subject;
use a statistical model to determine a type of activity during the movement of the subject, based in part on the sensor data;
and
use the statistical model to determine one or more kinematic characteristics during the movement of the subject, based in part on the sensor data and the type of activity.

2 more elements

A method for training a machine learning model configured to determine at least a type of activity and one or more kinematic characteristics from a movement of a subject based on sensor data associated with the movement of the subject, the method comprising:

receiving training sensor data collected by two or more sensors, the training sensor data indicating movement of two or more body portions of one or more subjects while performing one or more activities;
obtaining data indicating at least a type of activity and one or more kinematic characteristics performed by the one or more subjects while the training sensor data is collected;
and
training the machine learning model to be configured to determine at least a type of activity and one or more kinematic characteristics from a movement of a subject, by using the received training sensor data and the data indicating the at least a type of activity and one or more kinematic characteristics associated with the training sensor data.

1 more element

Dependencies are inferred from the claim text.

Methods and systems for activity detection and quantification of movement kinematics

Life of this patent

Methods and systems for activity detection and quantification of movement kinematics

Life of this patent

Abstract

Claims68