Method and System for Automated Personal Training that Includes Training Programs

Abstract

Systems and methods for creating personalized exercise programs are disclosed. An image capture device and a computer device are used to capture images of a user while the user performs athletic movements. The images may then be evaluated to create a human movement screen score. The human movement screen score, goal and time commitment information may then be used to create a personalized exercise program tailored to the specific user.

What is claimed is: 
     
         1 . A computer implemented method comprising:
 (a) capturing, with a wrist-worn sensor, motion parameter data of a user, wherein at least a first portion of the motion parameter data is captured as a result of the user performing an instructed athletic movement;   (b) generating at a processor, one or more human movement screen scores based on the at least a first portion of the motion parameter data of the user performing the instructed athletic movement;   (c) generating, by the processor, a personalized exercise program that identifies a body area of the user for improvement based on the one or more human movement screen scores; and   (d) modifying, by the processor, the personalized exercise program based on a probable availability of the user, calculated by the at least one processor by analyzing historical calendar data of the user.   
     
     
         2 . The computer implemented method of  claim 1 , wherein (a) further comprises capturing, with an image capture device, images of the user performing the instructed athletic movement. 
     
     
         3 . The computer implemented method of  claim 1 , wherein (b) comprises generating, at a processor, a human movement screen score based on the wrist-worn sensor and a second sensor. 
     
     
         4 . The computer implemented method of  claim 1 , wherein the wrist-worn sensor, comprises an accelerometer. 
     
     
         5 . The computer implemented method of  claim 1 , wherein (a) further comprises capturing motion parameters with a footwear-worn accelerometer. 
     
     
         6 . The computer implemented method of  claim 1  wherein the wrist-worn sensor comprises an orientation determining sensor. 
     
     
         7 . computer implemented method of  claim 1 , wherein generating the personalized exercise program is based on the human movement screen score and an input of the user. 
     
     
         8 . The computer implemented method of  claim 7 , wherein the input of the user comprises a time commitment. 
     
     
         9 . The computer implemented method of  claim 7 , wherein the input of the user comprises a number of exercise sessions in a predetermined time period. 
     
     
         10 . The computer implemented method of  claim 2 , wherein the image capture device comprises a plurality of cameras. 
     
     
         11 . The computer implemented method of  claim 10 , wherein the image capture device comprises an infrared camera. 
     
     
         12 . The computer implemented method of  claim 1 , wherein (b) comprises evaluating a form of the user by identifying locations of body parts of the user at different times. 
     
     
         13 . The computer implemented method of  claim 1 , wherein (d) comprises reducing or eliminating an exercise from the personalized exercise program. 
     
     
         14 . The computer implemented method of  claim 1 , wherein the wrist-worn sensor comprises a display. 
     
     
         15 . An apparatus configured to be worn on an appendage of a user, comprising:
 at least one processor;   a display device;   a sensor device;   a non-transitory computer-readable medium comprising computer-executable instructions that when executed by the at least one processor cause the at least one processor to:
 capture, from the sensor device, motion parameter data, wherein at least a first portion of the motion parameter data is captured as a result of the user performing an instructed athletic movement; 
 generate, by the least one processor, one or more human movement screen scores based on the at least a first portion of the motion parameter data of the user performing the instructed athletic movement; 
 generate, by the at least one processor, a personalized exercise program that identifies a body area of the user for improvement based on the one or more human movement screen scores; and 
 modify, at the at least one processor, the personalized exercise program based on a probable availability of the user, calculated by the at least one processor by analyzing historical calendar data of the user. 
   
     
     
         16 . The apparatus of  claim 15 , wherein the capturing comprises obtaining accelerometer data from an accelerometer located on the apparatus. 
     
     
         17 . The apparatus of  claim 16 , wherein the accelerometer data comprises data from a plurality of axes. 
     
     
         18 . The apparatus of  claim 16 , wherein the computer-readable medium further comprises computer-executable instructions that when executed by the at least one processor cause the at least one processor t:
 collect motion parameters of the user from a footwear-worn accelerometer; and   wherein generating the one or more human movement screen score is based upon at least data obtained from the footwear-worn accelerometer and the motion parameters captured from the sensor device.   
     
     
         19 . The apparatus of  claim 16 , wherein the sensor device comprises a gyroscope. 
     
     
         20 . A non-transitory computer-readable medium comprising computer-executable instructions that when executed cause a system to perform the steps comprising:
 capturing, with a body-worn sensor, motion parameter data of a user, wherein at least a first portion of the motion parameter data is captured as a result of the user performing an instructed athletic movement;   generating, with at least one processor, one or more human movement screen scores based on the at least a first portion of motion parameter data of the user performing the instructed athletic movement;   generating, at the at least one processor, a personalized exercise program that identifies a body area of the user for improvement based on the one or more human movement screen scores; and   modifying, with the at least one processor, the personalized exercise program based on a probable availability of the user, calculated by the at least one processor by analyzing historical calendar data of the user.