13. An apparatus, comprising: a wearable device, comprising: a processor; a support vector machine; and a memory comprising computer-readable instructions which when executed by the processor cause the processor and the support vector machine to perform the steps comprising: receiving an audio input from a first person comprising spoken words through a microphone communicatively coupled to the processor; sampling the audio input into a sample of a predetermined length of time; applying by the support vector machine an algorithm to the sample; determining, by the support vector machine, an emotional content of the sample by accessing a database comprising audio samples with predetermined emotional content and determining a closest emotional match to the sample from the predetermined emotional content such that the determining the closest emotional match trains the algorithm to optimize accuracy in determining the closest emotional match for subsequent samples; and outputting, by the support vector machine, the closest emotional match to the emotional content of the sample for use by a second person having an autism spectrum disorder.
13. An apparatus, comprising: a wearable device, comprising: a processor; a support vector machine; and a memory comprising computer-readable instructions which when executed by the processor cause the processor and the support vector machine to perform the steps comprising: receiving an audio input from a first person comprising spoken words through a microphone communicatively coupled to the processor; sampling the audio input into a sample of a predetermined length of time; applying by the support vector machine an algorithm to the sample; determining, by the support vector machine, an emotional content of the sample by accessing a database comprising audio samples with predetermined emotional content and determining a closest emotional match to the sample from the predetermined emotional content such that the determining the closest emotional match trains the algorithm to optimize accuracy in determining the closest emotional match for subsequent samples; and outputting, by the support vector machine, the closest emotional match to the emotional content of the sample for use by a second person having an autism spectrum disorder. 18. The apparatus of claim 13 , wherein the vibratory pattern comprises four different patterns corresponding to neutral, happy, sad, and angry emotions.