Technologies for emotion prediction based on breathing
patterns include a wearable device . The wearable device
includes a breathing sensor to generate breathing data , one
or more processors , and one or more memory devices having
stored therein a plurality of instructions that , when executed ,
cause the wearable device to calibrate a personalized emo
tion predictive model associated with the user , collect
breathing data of the user of the wearable device , analyze the
breathing data to determine a breathing pattern , predict , in
response to an analysis of the breathing data , the emotional
state of the user using the personalized emotion predictive
model , and output the emotional state of the user .
