System and method for providing an intelligent goal recommendation for activity level

Abstract

A system for providing an intelligent goal recommendation for activity level includes an apparatus for providing an intelligent goal recommendation for activity level. The apparatus includes a movement monitoring module that monitors a movement to determine an activity score associated with the movement. The apparatus also includes a fatigue level module that detects a fatigue level. In addition, the apparatus includes an activity level recommendation module that recommends an activity level based on the fatigue level and an archive. The archive includes historical information about the movement and the fatigue level.

What is claimed is: 
     
         1 . An apparatus for providing an intelligent goal recommendation for activity level, the apparatus comprising:
 a movement monitoring module that monitors a movement to determine an activity score associated with the movement;   a fatigue level module that detects a fatigue level; and   an activity level recommendation module that recommends an activity level based on the fatigue level and an archive, the archive comprising historical information about the movement and the fatigue level.   
     
     
         2 . The apparatus of  claim 1 ,
 wherein the archive comprises normative data on activity scores and fatigue; and   wherein the activity level recommendation module recommends the activity level based on the normative data.   
     
     
         3 . The apparatus of  claim 1 ,
 wherein the activity level recommendation module recommends the activity level in anticipation of a future activity; and   wherein the activity level recommendation module anticipates the future activity based on the archive.   
     
     
         4 . The apparatus of  claim 1 , wherein the activity level recommendation module recommends the activity level based on the amount of sleep monitored by the movement monitoring module the previous night. 
     
     
         5 . The apparatus of  claim 1 , wherein the recommended activity level is based on a user's learned tendencies. 
     
     
         6 . The apparatus of  claim 1 , wherein the recommended activity level is based on a user's learned capabilities. 
     
     
         7 . The apparatus of  claim 1 , wherein the recommended activity level is a numerical value. 
     
     
         8 . The apparatus of  claim 1 , wherein the recommended activity level is selected from the group consisting of not active, slightly active, moderately active, highly active, and extremely active. 
     
     
         9 . The apparatus of  claim 1 , further comprising a scheduling module that reminds a user of an upcoming activity and adjusts the recommended activity level based on the upcoming activity. 
     
     
         10 . A method for providing an intelligent goal recommendation for activity level, the method comprising:
 monitoring a movement to determine an activity score associated with the movement;   detecting a fatigue level; and   recommending an activity level based on the fatigue level and an archive, the archive comprising historical information about the movement and the fatigue level.   
     
     
         11 . The method of  claim 10 ,
 wherein the archive comprises normative data on activity scores and fatigue; and   wherein the recommended activity level is based on the normative data.   
     
     
         12 . The method of  claim 10 ,
 wherein the activity level is recommended in anticipation of a future activity; and   wherein the future activity is anticipated based on the archive.   
     
     
         13 . The method of  claim 10 , wherein the recommended activity level is based on an amount of sleep monitored the previous night. 
     
     
         14 . The method of  claim 10 , wherein the recommended activity level is based on an input from a user, the input specifying a targeted aggressiveness for achieving a performance goal of the user. 
     
     
         15 . The method of  claim 10 , wherein the recommended activity level is based on a user's learned tendencies. 
     
     
         16 . The method of  claim 10 , wherein the recommended activity level is based on a user's learned capabilities. 
     
     
         17 . The method of  claim 10 , wherein the recommended activity level is a numerical value. 
     
     
         18 . The method of  claim 10 , wherein the recommended activity level is selected from the group consisting of not active, slightly active, moderately active, highly active, and extremely active. 
     
     
         19 . The method of  claim 10 , further comprising:
 reminding a user of a scheduled upcoming activity; and   adjusting the recommended activity level based on the scheduled upcoming activity.   
     
     
         20 . A system for providing an intelligent goal recommendation for activity level, the system comprising:
 a processor;   at least one computer program residing on the processor;   wherein the computer program is stored on a non-transitory computer readable medium having computer executable program code embodied thereon, the computer executable program code configured to:
 monitor a movement to determine an activity score associated with the movement; 
 detect a fatigue level; and 
 recommend an activity level based on the fatigue level and an archive, the archive comprising historical information about the movement and the fatigue level.