Head Worn Sensor Device and System for Exercise Tracking and Scoring

Abstract

The subject invention is directed to a computer-implemented method, a device and a system for detecting and scoring exercises, including maintaining, by a mobile device, a library of motion signatures, in which a motion signature for an exercise is a sequence of characteristic features and a characteristic feature is a movement in the exercise; receiving, by a mobile device, a time series of data from a sensor device, the sensor device attached to the head or torso of a user, the data comprising accelerometer data from an accelerometer included in the sensor device, detecting a single repetition of a designated exercise performed by the user and calculating a motion score for the single repetition of the detected exercise.

Description

TECHNICAL FIELD[0001]Various embodiments generally relate to a head worn sensor device that provides a stream of sensor data to a computing device system for tracking and scoring of exercises.BACKGROUND[0002]Using the head or torso as a location for tracking body motion during exercises has two key advantages over the feet or hands. First, the motion of the head or torso is more strongly correlated with core body motion. The hands or feet can move through much bigger motions without much trunk motion. This is not possible for the head or torso. Secondly, an advantage of using the head and more specifically the ear as a location for tracking body motion is that high resolution heart activity can be measured very accurately at the ear lobe using an ear clip or in ear photoplethysmograph (PPG). The combination of both heart activity and head motion may be used to calculate easily understandable scores for a wide variety of physical exercises that provide a measure of performance.[0003]...

AI Technical Summary

Benefits of technology

[0009]The mobile device can operate in two usage modes. One is an interactive mode where the mobile device gives the user real-time feedback that they have completed a specific exercise such as a squat with the context of an interactive workout session. This real-time feedback is displayed via the application running on the connected computing device. The other mode is automatic mode where the sensor device sends data to the computing device to automatically record and analyze the motion of an exercise session such as a rowing or running session so that it can be presented as a data visualisation by an application after the session. For example, a user display may provide in depth information on performance and identify points where fatigue changed overall form of running style. Automatic mode operates automatically without requirement for user interaction.

Problems solved by technology

This is not possible for the head or torso.

It is well known in the state of the art that simple accelerometer based readings at the wrist can easily be inaccurate or “cheated” by waving the arms around without also moving body trunk.

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