Systems and methods for non-contact tracking and analysis of physical activity using imaging

Abstract

Systems and methods for tracking and analysis of physical activity is disclosed. In some aspects, a provided method includes receiving a time sequence of images captured while an individual is performing the physical activity, and generating, using the time sequence of images, at least one map indicating a movement of the individual. The method also includes identifying at least one body portion using the at least one map, and computing at least one index associated with the identified body portions to characterize the physical activity of the individual. The method further includes generating a report using the at least one index.

What is claimed is: 
     
         1 . A system for analyzing a physical activity of an individual without contacting the individual, the system comprising:
 an apparatus configured to capture a time sequence of images of an individual performing a physical activity; and   a processor configured to:
 receive the captured time sequence of images; 
 generate, using the captured time sequence of images, one or more measures indicating motion associated with the physical activity performed by the individual; 
 identify at least one body portion of the individual using the one or more measures indicating motion associated with the physical activity performed by the individual; 
 compute at least one index associated with the at least one identified body portion that quantifies the performance of the physical activity; and 
 generate a report using the at least one index. 
   
     
     
         2 . The system of  claim 1 , wherein the one or more measures includes a map, and wherein the map comprises one or more velocity fields indicative of motion associated with the physical activity performed by the individual. 
     
     
         3 . The system of  claim 2 , wherein the processor is further configured to utilize an optical flow sensing algorithm to generate at least one map. 
     
     
         4 . The system of  claim 2 , wherein the processor is further configured to determine at least one of a velocity amplitude and a velocity direction for the at least one body portion using at least one map. 
     
     
         5 . The system of  claim 1 , wherein the one or more measures includes a vertical displacement of at least one body portion of the individual using the captured time sequence of images. 
     
     
         6 . The system of  claim 1 , wherein the at least one index includes at least one of an energy expenditure and an intensity. 
     
     
         7 . The system of  claim 6 , wherein the processor is further configured to compute the energy expenditure of the physical activity using a weighted sum of a vertical displacement and a velocity amplitude square of at least one body portion averaged over a duration of the physical activity. 
     
     
         8 . The system of  claim 1 , wherein the processor is further configured to determine the at least one index using a hierarchical algorithm. 
     
     
         9 . The system of  claim 1 , wherein the at least one body portion includes at least one of a head of the individual, a neck of the individual, a trunk of the individual, upper arms of the individual, lower arms of the individual, hands of the individual, upper legs of the individual, lower legs of the individual, and feet of the individual. 
     
     
         10 . The system of  claim 1 , wherein the processor is further configured to count repetitions of the physical activity by tracking a boundary associated with the at least one body portion of the individual. 
     
     
         11 . The system of  claim 1 , wherein the processor is further configured to count repetitions of the physical activity based on an amplitude analysis of an optical flow field. 
     
     
         12 . The system of  claim 1 , wherein the processor is further configured to count repetitions of the physical activity based on a template matching of an oriented histogram of an optical flow field. 
     
     
         13 . The system of  claim 1 , wherein the processor is further configured for analysis of health parameters related to the physical activity based on the at least one index that quantifies the performance of the physical activity, the analysis of health parameters informative as to a predefined fitness goal or progress related to a health condition. 
     
     
         14 . The system of  claim 1 , wherein the processor is further configured to combine the at least one index that quantifies the performance of the physical activity with one or more measured physiological parameters to assess a predetermined correctness of execution. 
     
     
         15 . The system of  claim 1 , wherein the processor is further configured to combine the at least one index that quantifies the performance of the physical activity with one or more measured physiological parameters informative as to a predefined fitness goal or progress related to a health condition. 
     
     
         16 . The system of  claim 1 , wherein the processor is further configured for analysis of worker efficiency based on the at least one index that quantifies the performance of the physical activity. 
     
     
         17 . The system of  claim 1 , wherein the processor is further configured for determining a likelihood of fatigue based on the at least one index that quantifies the performance of the physical activity. 
     
     
         18 . The system of  claim 1 , wherein the processor is further configured for predicting a stress level of the individual based on the at least one index that quantifies the performance of the physical activity 
     
     
         19 . The system of  claim 1 , wherein the processor is further configured for providing an indication of a level of health or health condition. 
     
     
         20 . The system of  claim 1 , further comprising:
 at least one sensor in operable communication with the processor, the at least one sensor providing data including physiological information to the processor.