Patent ID: 9687179
Date: 2017-06-27
CPC Classifications: A61B,G01C,G16H

Claim:
1. A method implemented in a system which comprises: at least a lightweight personal wearable monitoring device, supplied by a battery, comprising at least an accelerometer which senses acceleration signals, a processing unit, a display, at least a remote server, said method comprising the steps: /a/ collecting, from a plurality of individuals caused to practice various physical activities from a set of predefined activities, acceleration data from one or several sensing devices placed on each of said individuals, and at different body positions, /b/ defining N small data-size specific metrics, to be computed from acceleration signals sensed by accelerometer(s) of monitoring devices, which allow to define a global activity classifier, said activity classifier being an algorithm designed to allocate a current activity among the a set of predefined activities, /c/ acquiring, over time, at a first monitoring device worn by a first user, acceleration signals from the accelerometer of the first monitoring device, /d/ calculating, at the first monitoring device, periodically at a predefined rate F 1 , and over each lapsed time unit (T 1 =1/F 1 ), specific metrics values from the sensed signals, to form a series of specific metrics values, /e/ send this series of specific metrics values to the processing unit, /f/ at the processing unit, allocate an activity type for each time unit together with corresponding specific metrics values of the received series, to form a time chart of activity types presumably performed by the first user over a second period (T 2 ), /g/ display the time chart of activity types presumably performed by the first user on the display and allow the first user to confirm or correct partly the type of activity performed over the second period (T 2 ), /h/ send a correction information back to the server, which allows to define or refine a user-specific activity classifier.