SYSTEM AND METHOD FOR GUIDING A USER TO IMPROVE GENERAL PERFORMANCE

1 . A system for guiding a user to improve general performance, the general performance comprising an activity selected from sleep, physical action and cognitive action, the system comprising:

a wearable device to measure at least two parameters associated with the user during an activity period, wherein the parameters are selected from action of the user, temperature of the user and heart rate of the user; and

a computing device operatively coupled to the wearable device, wherein the computing device is operable to:

determine a circadian rhythm of the user based on the measured parameters;

classify the user into a chronotype class based on the determined circadian rhythm;

determine a typical activity schedule for the user based on the measured parameters;

determine an optimal time period in a typical day of the user for at least one of physical action and cognitive action, based on the user's chronotype class;

receive information about an intended activity of the user;

analyse whether the intended activity is within the optimal time period; and

guide the user on carrying out the intended activity, taking into account whether the intended activity is within the optimal time period.

2 . A system according to claim 1 , wherein the computing device is configured to generate a schedule for the user based on the measured parameters, wherein the schedule defines time periods for the user to perform one or more various typical activities associated with a day of the user.

3 . A system according to claim 1 , wherein the determination of a typical activity schedule for the user is further based on parameters measured during at least two preceding 24-hour periods.

4 . A system according to claim 2 , wherein the computing device is configured to adjust the time periods in the schedule to reserve a preferred time slot for the intended activity.

5 . A system according to claim 1 , wherein the computing device is configured to define a chronotype class of the user using one or more of criterions of:

sleep drive comprising low sleep drive, medium sleep drive and high sleep drive; and

sleep time comprising early sleep time, intermediate sleep time and late sleep time.

6 . A system according to claim 1 , wherein the information about the intended activity is received directly from the user.

7 . A system according to claim 2 , wherein the intended activity is defined based on the schedule of the user and the computing device is operable to incorporate time zone changes into the guiding.

8 . A system according to claim 1 , wherein the computing device ( 106 ) is configured to:

detect one or more acts of user related to carrying out of the intended activity; and

provide feedback to the user based on the one or more acts.

9 . A system according to claim 1 , wherein the computing device is configured to guide the user to reschedule at least one activity to improve performance of the intended activity.

10 . A system according to claim 9 , wherein the at least one activity to be rescheduled is selected from eating at least one meal, waking up, going to bed and physical action.

11 . A system according to claim 1 , wherein the computing device is configured to provide reminders to the user by sending a message when the user is not performing the intended activity.

12 . A method for guiding a user to improve general performance, the general performance comprising an activity selected from sleep, physical action and cognitive action, the method comprising:

measuring at least two parameters associated with the user during an activity period, wherein the parameters are selected from action of the user, temperature of the user and heart rate of the user;

determining a circadian rhythm of the user based on the measured parameters;

classifying the user into a chronotype class based on the determined circadian rhythm;

determining a typical activity schedule for the user based on the measured parameters;

determining an optimal time period in a typical day of the user for at least one of physical action and cognitive action, based on the user's chronotype class;

receiving information about an intended activity of the user;

analysing whether the intended activity is within the optimal time period; and

guiding the user on carrying out the intended activity, taking into account whether the intended activity is within the optimal time period.

13 . A method according to claim 12 , further comprising generating a schedule for the user based on the measured parameters, wherein the schedule defines time periods for the user to perform one or more various typical activities associated with a day of the user.

14 . A method according to claim 12 , further comprising receiving information about a preferred time slot for the intended activity from the user.

15 . A method according to claim 14 , further comprising adjusting the time periods in the schedule to reserve the preferred time slot for the intended activity.