Methods and systems for detecting potential injury conditions

Abstract

A system includes a sensor attached to an individual and detects an individual's improper body movements that increase injury risk. The system includes a safety tag with an accelerometer that measures proper acceleration. Proper acceleration along multiple directions are projected onto multiple 2-D planes, generating acceleration vectors. Phasor angles of the acceleration vectors are calculated, and if the spread in phasor angles for any one 2-D plane within a moving time window exceeds a threshold, the system determines that the individual has made an improper body movement.

1 . An apparatus for detecting a potential injury condition, comprising:
 a receiver configured to receive sensor data from a sensor worn by an individual, the sensor data containing multi-dimensional acceleration information, along N non-parallel dimensions, corresponding to movement of the individual, wherein N is at least three; and   a processor configured to determine, based on the sensor data, a potential injury condition of the individual.   
     
     
         2 - 3 . (canceled) 
     
     
         4 . The apparatus according to  claim 1 , wherein said processor is further configured to:
 project the multi-dimensional acceleration information onto M non-parallel planes thereby generating M projections of acceleration; and   determine at least a characteristic of each of the M projections of acceleration for a sample of sensor data taken within a predetermined window of time, wherein the predetermined window of time is a moving window, and   wherein said processor is further configured to update the M projections of acceleration substantially upon receiving a new sample of sensor data.   
     
     
         5 . The apparatus according to  claim 1 , wherein said processor is further configured to generate potential injury condition data corresponding to the potential injury condition. 
     
     
         6 . The apparatus according to  claim 1 , wherein said processor is further configured to:
 project the multi-dimensional acceleration information onto M non-parallel planes thereby generating M projections of acceleration; and   determine at least a characteristic of each of the M projections of acceleration for a sample of sensor data taken within a predetermined window of time,   wherein the acceleration information includes acceleration information sensed along each of N axes at predetermined time intervals, and   wherein said processor determines the potential injury condition based on the determined characteristics within the predetermined window of time.   
     
     
         7 - 10 . (canceled) 
     
     
         11 . The apparatus according to  claim 1 , wherein the potential injury condition corresponds to exceeding a potential injury condition threshold associated with either a bend of the knees, a bend of the waist, or a combination of both. 
     
     
         12 . A method of detecting a potential injury condition, comprising:
 electronically receiving sensor data from a sensor worn by an individual, the sensor data containing multi-dimensional acceleration information, along N non-parallel dimensions, corresponding to movement of the individual, wherein N is at least three; and   electronically determining, using a processor and based on the sensor data, a potential injury condition of the individual.   
     
     
         13 - 14 . (canceled) 
     
     
         15 . The method according to  claim 12 , wherein said determining step includes:
 projecting the multi-dimensional acceleration information onto M non-parallel planes thereby generating M projections of acceleration; and   determining at least a characteristic of each of the M projections of acceleration for a sample of sensor data taken within a predetermined window of time, wherein the predetermined window of time is a moving window, and   wherein said determining step further includes updating the M projections of acceleration substantially upon receiving a new sample of sensor data.   
     
     
         16 . The method according to  claim 12 , further comprising:
 generating potential injury condition data corresponding to the potential injury condition.   
     
     
         17 . The method according to  claim 12 , wherein said determining step includes:
 projecting the multi-dimensional acceleration information onto M non-parallel planes thereby generating M projections of acceleration; and   determining at least a characteristic of each of the M projections of acceleration for a sample of sensor data taken within a predetermined window of time,   wherein said receiving step includes receiving acceleration information sensed along each of N axes at predetermined time intervals, and   wherein said determining step determines the potential injury condition based on the determined characteristics within the predetermined window of time.   
     
     
         18 - 21 . (canceled) 
     
     
         22 . The method according to  claim 12 , wherein the potential injury condition corresponds to exceeding a potential injury condition threshold associated with either a bend of the knees, a bend of the waist, or a combination of both. 
     
     
         23 . A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which, when executed by an electronic device with one or more processors, cause the electronic device to perform the steps of:
 receiving sensor data from a sensor worn by an individual, the sensor data containing multi-dimensional acceleration information, along N non-parallel dimensions, corresponding to movement of the individual, wherein N is at least three; and   determining, based on the sensor data, a potential injury condition of the individual.   
     
     
         24 - 25 . (canceled) 
     
     
         26 . The computer-readable medium according to  claim 23 , wherein said determining step includes:
 projecting the multi-dimensional acceleration information onto M non-parallel planes thereby generating N projections of acceleration; and   determining at least a characteristic of each of the M projections of acceleration for a sample of sensor data taken within a predetermined window of time,   wherein the predetermined window of time is a moving window, and   wherein said determining step further includes updating the M projections of acceleration substantially upon receiving a new sample of sensor data.   
     
     
         27 . The computer-readable medium according to  claim 23 , further comprising:
 generating potential injury condition data corresponding to the potential injury condition.   
     
     
         28 . The computer-readable medium according to  claim 23 , wherein said determining step includes:
 projecting the multi-dimensional acceleration information onto M non-parallel planes thereby generating N projections of acceleration; and   determining at least a characteristic of each of the M projections of acceleration for a sample of sensor data taken within a predetermined window of time,   wherein said receiving step includes receiving acceleration information sensed along each of N axes at predetermined time intervals, and   wherein said determining step determines the potential injury condition based on the determined characteristics within the predetermined window of time.   
     
     
         29 - 32 . (canceled) 
     
     
         33 . The computer-readable medium according to  claim 23 , wherein the potential injury condition corresponds to exceeding a potential injury condition threshold associated with either a bend of the knees, a bend of the waist, or a combination of both. 
     
     
         34 . A system for detecting a potential injury condition, comprising:
 a sensor worn by an individual;   a receiver configured to receive sensor data from said sensor, the sensor data containing multi-dimensional acceleration information, along N non-parallel dimensions, corresponding to movement of the individual, wherein N is at least three; and   a processor configured to determine, based on the sensor data, a potential injury condition of the individual.   
     
     
         35 - 36 . (canceled) 
     
     
         37 . The system according to  claim 34 , wherein said processor is further configured to:
 project the multi-dimensional acceleration information onto M non-parallel planes thereby generating M projections of acceleration; and   determine at least a characteristic of each of the M projections of acceleration for a sample of sensor data taken within a predetermined window of time, wherein the predetermined window of time is a moving window, and   wherein said processor is further configured to update the M projections of acceleration substantially upon receiving a new sample of sensor data.   
     
     
         38 . The system according to  claim 34 , wherein said processor is further configured to generate potential injury condition data corresponding to the potential injury condition. 
     
     
         39 . The system according to  claim 34 , wherein said sensor includes at least one mechanical sensor constructed to measure the multi-dimensional acceleration information. 
     
     
         40 . The system according to  claim 39 , wherein said at least one mechanical sensor is an accelerometer. 
     
     
         41 . The system according to  claim 40 , wherein the multi-dimensional acceleration information contains acceleration data along N non-parallel axes. 
     
     
         42 . The system according to  claim 41 , wherein said accelerometer is arranged to sense acceleration along each of the N axes at predetermined time intervals, and
 wherein said processor determines the potential injury condition based on the sensed acceleration over a predetermined time period.   
     
     
         43 . The system according to  claim 41 , wherein each two of the N axes define a two-dimensional plane, such that the N axes collectively define a plurality of two-dimensional planes, and
 wherein said processor determines the potential injury condition by, for each of at least a portion M of the plurality of two-dimensional planes:
 (1) determining a phasor angle of acceleration in the two-dimensional plane during each of the predetermined time intervals within the predetermined time period, and 
 (2) comparing an absolute value of a difference between the smallest phasor angle and the largest phasor angle during the predetermined time period for the two-dimensional plane with a potential injury condition threshold. 
   
     
     
         44 . The system according to  claim 43 , wherein said processor is further configured to, in the case that the potential injury condition threshold has been exceeded with respect to any one of the M two-dimensional planes, generate a message indicating that the individual is subject to an injury. 
     
     
         45 . The system according to  claim 43 , wherein said processor determines the phasor angle of acceleration in a respective two-dimensional plane defined by, of the N axes, a first axis and a second axis, by:
 determining a ratio of the acceleration along the first axis to the acceleration along the second axis, and   calculating an inverse tangent of the ratio of the acceleration to determine the phasor angle of acceleration.   
     
     
         46 . The system according to  claim 43 , wherein said processor determines the phasor angle of acceleration by accessing a look-up table. 
     
     
         47 . The system according to  claim 34 , wherein the potential injury condition corresponds to exceeding a potential injury condition threshold associated with either a bend of the knees, a bend of the waist, or a combination of both.