Smart training system

Abstract

Smart weight training systems and methods are described. An example method includes receiving sensor data from a sensor disposed in a weight lifting device, and determining, by a processing device, one or more exercise characteristics based on the sensor data. The one or more exercise characteristics can include a power exerted by a user of the weight lifting device. The exercise characteristics can be displayed on a user interface display or recorded to a storage device.

What is claimed is: 
     
         1 . A method, comprising:
 receiving sensor data from a sensor disposed in a weight lifting device;   determining, by a processing device, one or more exercise characteristics based on the sensor data, wherein the one or more exercise characteristics comprises a power exerted by a user of the weight lifting device; and   displaying the one or more exercise characteristics on a user interface display or recording the one or more exercise characteristics to a storage device.   
     
     
         2 . The method of  claim 1 , wherein the sensor data comprises force data describing a force exerted by a user on the weight lifting device. 
     
     
         3 . The method of  claim 2 , wherein the one or more exercise characteristics comprises a weight of the weight lifting device, wherein the weight is computed based on the force exerted on the weight lifting device while a motion of the weight lifting device is below a threshold. 
     
     
         4 . The method of  claim 1 , wherein the one or more exercise characteristics comprises a peak power corresponding to each repetition of a set of exercises. 
     
     
         5 . The method of  claim 1 , wherein the one or more exercise characteristics comprises a power curve describing power exerted over time. 
     
     
         6 . The method of  claim 1 , wherein the sensor data comprises motion data describing a motion of the weight lifting device, wherein the motion data describes at least one of a speed of the motion, a direction of the motion, or path of the motion. 
     
     
         7 . The method of  claim 6 , further comprising receiving a weight value from the weight lifting device, wherein the power exerted by the user is computed based on the motion data and the weight value. 
     
     
         8 . The method of  claim 6 , wherein the one or more exercise characteristics comprises a number of repetitions performed, wherein each repetition is detected based on the motion data. 
     
     
         9 . The method of  claim 1 , wherein the weight lifting device is a free weight and receiving sensor data from the weight lifting device comprises receiving the sensor data wirelessly. 
     
     
         10 . The method of  claim 1 , wherein the processing device and the user interface display are components of a smart phone. 
     
     
         11 . A non-transitory computer readable medium having instructions encoded thereon that, when executed by a processing device, cause the processing device to:
 receive sensor data from one or more sensors disposed in a weight lifting device; and   determine, by the processing device, one or more exercise characteristics based on the sensor data, wherein the one or more exercise characteristics comprises a power exerted by a user of the weight lifting device; and   cause at least one of the one or more exercise characteristics to be displayed on a user interface display or stored to a storage device.   
     
     
         12 . The non-transitory computer readable medium of  claim 11 , wherein the sensor data comprises force data describing a force exerted by a user on the weight lifting device. 
     
     
         13 . The non-transitory computer readable medium of  claim 12 , wherein the one or more exercise characteristics comprises a weight of the weight lifting device, wherein to determine the weight the processing device is to compute the weight based on the force exerted on the weight lifting device while a movement of the weight lifting device is below a threshold. 
     
     
         14 . The non-transitory computer readable medium of  claim 11 , wherein the one or more exercise characteristics comprises a peak power corresponding to each repetition of a set of exercises. 
     
     
         15 . The non-transitory computer readable medium of  claim 11 , wherein the one or more exercise characteristics comprises a power curve describing power exerted over time. 
     
     
         16 . The non-transitory computer readable medium of  claim 11 , wherein the sensor data comprises motion data describing a motion of the weight lifting device, wherein the motion data describes at least one of a speed of the motion, a direction of the motion, or a path of the motion. 
     
     
         17 . The non-transitory computer readable medium of  claim 16 , further comprising instructions that cause the processing device to receive a weight value from the weight lifting device, wherein to determine the power exerted by the user, the processing device is to compute the power based on the motion data and the weight value. 
     
     
         18 . The non-transitory computer readable medium of  claim 16 , wherein the one or more exercise characteristics comprises a number of repetitions performed, wherein each repetition is detected based on the motion data. 
     
     
         19 . The non-transitory computer readable medium of  claim 11 , wherein the weight lifting device is a free weight and receiving sensor data from the weight lifting device comprises receiving the sensor data wirelessly. 
     
     
         20 . The non-transitory computer readable medium of  claim 11 , wherein the processing device and the user interface display are components of a smart phone.