Smart garments that identify user changes

Abstract

Sensor data generated by a portion of a plurality of sensors integrated into a smart garment is received, the sensor data indicating at least one biometric parameter indicating a state of health of a user wearing the smart garment. Based on the first sensor data, at least one health change parameter indicating at least one change in the state of health of the user can be determined. Based on the at least one health change parameter, whether the at least one change in the state of health of the user exceeds a threshold value can be determined. Responsive to determining that the at least one change in the state of health of the user exceeds the threshold value, a notification indicating that the at least one change in the state of health of the user exceeds the threshold value can be output.

1 - 20 . (canceled) 
     
     
         21 . A method, comprising:
 receiving first sensor data generated by at least a first portion of a plurality of sensors integrated into a smart garment, the first sensor data indicating at least one biometric parameter indicating a state of health of a user wearing the smart garment;   determining, using a processor, based on the first sensor data, at least one health change parameter indicating at least one change in the state of health of the user;   based on the at least one health change parameter indicating the at least one change in the state of health of the user, determining whether the at least one change in the state of health of the user exceeds a threshold value; and   responsive to determining that the at least one change in the state of health of the user exceeds the threshold value, outputting a first notification indicating that the at least one change in the state of health of the user exceeds the threshold value.   
     
     
         22 . The method of  claim 21 , further comprising:
 outputting a second notification indicating a recommendation for the user to take at least one action to mitigate a health risk resulting from the change in the state of health of the user.   
     
     
         23 . The method of  claim 22 , further comprising:
 analyzing the at least one biometric parameter; and   based on the analyzing the at least one biometric parameter, determining at least one pattern in the at least one biometric parameter;   wherein outputting the second notification indicating the recommendation for the user to take the at least one action to mitigate the health risk resulting from the change in the state of health of the user comprises determining the recommendation based on the determined at least one pattern in the at least one biometric parameter.   
     
     
         24 . The method of  claim 21 , further comprising:
 determining, based on the first sensor data, a risk of disease for the user;   determining whether the risk of the disease for the user exceeds a threshold value; and   responsive to determining that the risk of the disease for the user exceeds the threshold value, outputting a second notification indicating the risk of the disease for the user.   
     
     
         25 . The method of  claim 24 , further comprising:
 analyzing the at least one biometric parameter; and   based on the analyzing the at least one biometric parameter, determining at least one pattern in the at least one biometric parameter;   wherein outputting the second notification indicating the risk of the disease for the user comprises determining the risk of the disease for the user based on the determined at least one pattern in the at least one biometric parameter.   
     
     
         26 . The method of  claim 25 , further comprising:
 receiving second sensor data generated by at least a second portion of the plurality of sensors integrated into the smart garment, the second sensor data indicating at least one size change parameter that indicates a weight gain of the user or a weight loss of the user;   wherein the determining the risk of the disease for the user further is based on the second sensor data indicating the at least one size change parameter.   
     
     
         27 . The method of  claim 21 , wherein the biometric parameter is a parameter selected from a group consisting of a body temperature parameter, a heart rate parameter, and a blood pressure parameter. 
     
     
         28 . The method of  claim 21 , wherein the biometric parameter is a parameter selected from a group consisting of a level of perspiration rate parameter and a blood sugar level parameter. 
     
     
         29 . A system, comprising:
 a processor programmed to initiate executable operations comprising:   receiving first sensor data generated by at least a first portion of a plurality of sensors integrated into a smart garment, the first sensor data indicating at least one biometric parameter indicating a state of health of a user wearing the smart garment;   determining, based on the first sensor data, at least one health change parameter indicating at least one change in the state of health of the user;   based on the at least one health change parameter indicating the at least one change in the state of health of the user, determining whether the at least one change in the state of health of the user exceeds a threshold value; and   responsive to determining that the at least one change in the state of health of the user exceeds the threshold value, outputting a first notification indicating that the at least one change in the state of health of the user exceeds the threshold value.   
     
     
         30 . The system of  claim 29 , the executable operations further comprising:
 outputting a second notification indicating a recommendation for the user to take at least one action to mitigate a health risk resulting from the change in the state of health of the user.   
     
     
         31 . The system of  claim 30 , the executable operations further comprising:
 analyzing the at least one biometric parameter; and   based on the analyzing the at least one biometric parameter, determining at least one pattern in the at least one biometric parameter;   wherein outputting the second notification indicating the recommendation for the user to take the at least one action to mitigate the health risk resulting from the change in the state of health of the user comprises determining the recommendation based on the determined at least one pattern in the at least one biometric parameter.   
     
     
         32 . The system of  claim 29 , the executable operations further comprising:
 determining, based on the first sensor data, a risk of disease for the user;   determining whether the risk of the disease for the user exceeds a threshold value; and   responsive to determining that the risk of the disease for the user exceeds the threshold value, outputting a second notification indicating the risk of the disease for the user.   
     
     
         33 . The system of  claim 32 , the executable operations further comprising:
 analyzing the at least one biometric parameter; and   based on the analyzing the at least one biometric parameter, determining at least one pattern in the at least one biometric parameter;   wherein outputting the second notification indicating the risk of the disease for the user comprises determining the risk of the disease for the user based on the determined at least one pattern in the at least one biometric parameter.   
     
     
         34 . The system of  claim 33 , the executable operations further comprising:
 receiving second sensor data generated by at least a second portion of the plurality of sensors integrated into the smart garment, the second sensor data indicating at least one size change parameter that indicates a weight gain of the user or a weight loss of the user;   wherein the determining the risk of the disease for the user further is based on the second sensor data indicating the at least one size change parameter.   
     
     
         35 . The system of  claim 29 , wherein the biometric parameter is a parameter selected from a group consisting of a body temperature parameter, a heart rate parameter, and a blood pressure parameter. 
     
     
         36 . The system of  claim 29 , wherein the biometric parameter is a parameter selected from a group consisting of a level of perspiration rate parameter and a blood sugar level parameter. 
     
     
         37 . A computer program product comprising a computer readable storage medium having program code stored thereon, the program code executable by a processor to perform a method comprising:
 receiving first sensor data generated by at least a first portion of a plurality of sensors integrated into a smart garment, the first sensor data indicating at least one biometric parameter indicating a state of health a user wearing the smart garment;   determining, by the processor, based on the first sensor data, at least one health change parameter indicating at least one change in the state of health of the user;   based on the at least one health change parameter indicating the at least one change in the state of health of the user, determining whether the at least one change in the state of health of the user exceeds a threshold value; and   responsive to determining that the at least one change in the state of health of the user exceeds the threshold value, outputting a first notification indicating that the at least one change in the state of health of the user exceeds the threshold value.   
     
     
         38 . The computer program product of  claim 37 , the method further comprising:
 outputting a second notification indicating a recommendation for the user to take at least one action to mitigate a health risk resulting from the change in the state of health of the user.   
     
     
         39 . The computer program product of  claim 38 , the method further comprising:
 analyzing the at least one biometric parameter; and   based on the analyzing the at least one biometric parameter, determining at least one pattern in the at least one biometric parameter;   wherein outputting the second notification indicating the recommendation for the user to take the at least one action to mitigate the health risk resulting from the change in the state of health of the user comprises determining the recommendation based on the determined at least one pattern in the at least one biometric parameter.   
     
     
         40 . The computer program product of  claim 37 , the method further comprising:
 determining, based on the first sensor data, a risk of disease for the user;   determining whether the risk of the disease for the user exceeds a threshold value; and   responsive to determining that the risk of the disease for the user exceeds the threshold value, outputting a second notification indicating the risk of the disease for the user.