Adaptive fitness training

Abstract

Streaming real-time fitness activity for analysis to determine if the user should change the exercise type, the wait duration between exercises, or the intensity level to increase the effectiveness level of the current activity for defined fitness goals and objectives of the user and notifying the user of the changes to the fitness activity in real-time while performing the activity. Evaluating the fitness goals of the user to define a fitness plan with specific exercises based on the fitness programs ranking learned from social media sentiment and proven results based on real-time feedback results of the user correlated to the activity. The fitness plan is evaluated based on current measurements of progress with goals to recommend and forecast changes to the fitness plan.

What is claimed is: 
     
         1 . A computer-implemented method comprising:
 receiving fitness activity data from one or more sensors, wherein the fitness activity data describes a fitness activity performed by a user;   determining target values for the fitness activity data, wherein the target values increase an effectiveness level of the fitness activity;   determining a change to the fitness activity based on the fitness activity data and the target values; and   reporting the change to the fitness activity to the user.   
     
     
         2 . The computer-implemented method of  claim 1 , further comprising:
 receiving one or more fitness goals of the user, wherein the target values are based on the one or more fitness goals.   
     
     
         3 . The computer-implemented method of  claim 2 , further comprising:
 recommending a fitness plan to the user, wherein the fitness plan is based on the one or more fitness goals and a current fitness condition of the user.   
     
     
         4 . The computer-implemented method of  claim 3 , further comprising:
 determining a change to the fitness plan based on at least one of: the one or more fitness goals, the current fitness condition of the user, the fitness activity data, the target values, and forecasted results of the change to the fitness plan.   
     
     
         5 . The computer-implemented method of  claim 1 , wherein determining the target values, further comprises:
 receiving historic fitness activity data, including activity characteristics including at least one of activity type, intensity, duration, and rest period duration;   determining an effectiveness level of the historic fitness activity data based on a fitness condition of the user; and   determining the target values based on the activity characteristics corresponding to the effectiveness level.   
     
     
         6 . The computer-implemented method of  claim 1 , wherein determining the change to the fitness activity, further comprises:
 determining whether the fitness activity data is within a threshold of the target values; and   responsive to a determination that the fitness activity data is not within the threshold of the target values, selecting the change to the fitness activity from at least one of increased intensity, increased duration, decreased rest period duration, and alternative activity.