Method for evaluating the body activity of a user
A method of evaluating the body activity of a user includes: at a given date and for a given duration, acquiring movement data from the user, distributing the acquired movement data corresponding to different types of movement, calculating a data structure representative of the body activity of the user performed at the given date and for the given duration, comparing the data structure with at least one other structure representative of the body activity performed at a date prior to the given date and for the given duration, duplicating the comparisons for different durations and determining an objective measurement of the user's autonomy.
1 . A method for evaluating a body activity of a user, implemented by a computing device, wherein the method comprises:
during a first performance of the body activity on a first date and for a duration, acquiring raw data on motion of said user from a motion sensor;
classifying said raw data in at least one data class, according to at least one non-supervised classification method;
on the basis of said at least one data class, calculating a first data structure representative of the first performance of the body activity;
comparing said first data structure with at least one second data structure, each second data structure representative of a prior performance of the body activity for said duration by said user prior to the first date;
as a result of said comparison, evaluating a variation between the first performance of the body activity and the at least one prior performance of the body activity; and
calculating an autonomy value according to a plurality of variation evaluations calculated for a plurality of different timeslots of different durations, the variation evaluations including a comparison of the body activity in a timeslot with prior body activities corresponding to the same timeslot, said autonomy value being obtained by adding the plurality of variation evaluations, a weighting coefficient being assigned to each of said variation evaluations respectively.
2 . The method as claimed in claim 1 , wherein said duration is determined with respect to the obtaining of a desired minimum number of different data classes, into which to distribute the acquired motion raw data.
3 . The method according to claim 1 , comprising: comparing the autonomy value with a certain value, and depending on a result of the comparison, generating information relating to the calculated variation.
4 . The method as claimed in claim 3 , wherein the generated information is communicated to a person authorized by said user.
5 . An evaluation device for evaluating a body activity of a user, said evaluation device comprising:
a processor configured to implement a method comprising:
during a first performance of the body activity on a first date and for a duration, acquiring raw data on motion of said user from a motion sensor;
classifying said raw data in at least one data class, according to at least one non-supervised classification method;
on the basis of said at least one data class, calculating a first data structure representative of the first performance of the body activity;
comparing said first data structure with at least one second data structure, each second data structure representative of a prior performance of the body activity by said user prior to the first;
as a result of said comparison, evaluating a variation between the first performance of the body activity and the at least one prior performance of the body activity; and
calculating an autonomy value according to a plurality of variation evaluations calculated for a plurality of different timeslots of different durations, the variation evaluations including a comparison of the body activity in a timeslot with prior body activities corresponding to the same timeslot, said autonomy value being obtained by adding the plurality of variation evaluations, a weighting coefficient being assigned to each of said variation evaluations respectively.
6 . A non-transitory computer-readable storage medium, comprising instructions of a computer program stored thereon which when executed by a processor of an evaluation device configure the evaluation device to perform a method for evaluating a body activity of a user comprising:
during a first performance of the body activity on a first date and for a duration, acquiring raw data on motion of said user from a motion sensor;
classifying said raw data in at least one data class, according to at least one non-supervised classification method;
on the basis of said at least one data class, calculating a first data structure representative of the first performance of the body activity;
comparing said first data structure with at least one second data structure, each second data structure representative of a prior performance of the body activity for said duration by the user prior to the first date;
as a result of said comparison, evaluating a variation between the first performance of the body activity and the at least one prior performance of the body activity; and
calculating an autonomy value according to a plurality of variation evaluations calculated for a plurality of different timeslots of different durations, the variation evaluations including a comparison of the body activity in a timeslot with prior body activities corresponding to the same timeslot, said autonomy value being obtained by adding the plurality of variation evaluations, a weighting coefficient being assigned to each of said variation evaluations respectively.