Sonification of biometric data, state-songs generation, biological simulation modelling, and artificial intelligence

A computer system, comprising:

• one or more processors;
• system memory;
• a data accessing module configured to access one or more portions of biometric data representing operations of one or more bodily systems of a user;
• an encoding layer configured to encode the one or more portions of biometric data, wherein encoding prepares the data for modeling at a modeling layer;
• the modeling layer configured to identify one or more specified patterns, found in rhythmic recurrences of at least one of frequencies and amplitudes, or repeated highs and lows, in the encoded biometric data, wherein the identified patterns are used to generate a personalized algorithm that corresponds with the identified patterns unique to the user, the personalized algorithm comprising lines of sound which sonify the encoded biometric data;
• a synthesis layer that uses the personalized algorithm to synthesize a state song representing a specific biometric state for at least one of the bodily systems, using the lines of sound to create endogenous music;
• and
• a playback module that plays the synthesized state song back to the user to induce the user to the specific biometric state.

A method, implemented at a computer system that includes at least one processor, for controlling state dependent behaviors of a user, the method comprising:

• obtaining biometric data from one or more data capture devices placed in contact with the user, the biometric data comprising different types of biometric data;
• associating at least some of the obtained biometric data with a plurality of specified instruments or sounds, each instrument or sound being mapped to a different type of biometric data;
• compiling at least some of the instruments or sounds into a composition or song of endogenous music arranged to represent a targeted state;
• and
• providing the composition or song back to the user to induce the user to the targeted state.