Devices and systems for collective impact on mental states of multiple users

A non-transitory computer-readable medium storing instructions which, when executed by a processor deployed in a communication network, cause the processor to perform operations, the operations comprising:

• receiving first biometric data for a first user, wherein the first biometric data comprises first facial image data of the first user from a first mobile device in communication with the processor;
• quantifying a mental state of the first user based upon the first biometric data, wherein the quantifying the mental state of the first user includes pattern matching the first facial image data to a first eigenface from among a plurality of eigenfaces representing a plurality of different mental states, wherein the first eigenface represents the mental state of the first user;
• receiving second biometric data for a second user, wherein the second biometric data comprises second facial image data of the second user from a second mobile device in communication with the processor;
• quantifying a mental state of the second user based upon the second biometric data, wherein the quantifying the mental state of the second user includes pattern matching the second facial image data to a second eigenface from among the plurality of eigenfaces, wherein the second eigenface represents the mental state of the second user;
• selecting a first automated action to affect the mental state of the first user and the mental state of the second user;
• and
• implementing the first automated action to affect the mental state of the first user and the mental state of the second user, wherein the first automated action is implemented via an instruction to an apparatus at a location where the first user and the second user are anticipated to be co-located.

A method, comprising:

• receiving, by a processor deployed in a communication network, first biometric data for a first user, wherein the first biometric data comprises first facial image data of the first user from a first mobile device in communication with the processor;
• quantifying, by the processor, a mental state of the first user based upon the first biometric data, wherein the quantifying the mental state of the first user includes pattern matching the first facial image data to a first eigenface from among a plurality of eigenfaces representing a plurality of different mental states, wherein the first eigenface represents the mental state of the first user;
• receiving, by the processor, second biometric data for a second user, wherein the second biometric data comprises second facial image data of the second user from a second mobile device in communication with the processor;
• quantifying, by the processor, a mental state of the second user based upon the second biometric data, wherein the quantifying the mental state of the second user includes pattern matching the second facial image data to a second eigenface from among the plurality of eigenfaces, wherein the second eigenface represents the mental state of the second user;
• selecting, by the processor, a first automated action to affect the mental state of the first user and the mental state of the second user;
• and
• implementing, by the processor, the first automated action to affect the mental state of the first user and the mental state of the second user, wherein the first automated action is implemented via an instruction to an apparatus at a location where the first user and the second user are anticipated to be co-located.