Vehicle interior personalization based on emotional state

A method for interior personalization for a vehicle, the method comprising:

• performing one or more measurements using one or more vehicle sensors;
• identifying an emotional status of an occupant of the vehicle based at least in part on the one or more measurements, wherein the emotional status of the occupant includes one of:
• a negative occupant emotional status and a positive occupant emotional status;
• saving a mood matching state of one or more operating parameters of at least one of:
• an interior ambient lighting system, a heating, ventilation, and air conditioning (HVAC) system, a seat massage system, and an interior aroma system in response to identifying the positive occupant emotional status, wherein the mood matching state is equal to a current state of the one or more operating parameters;
• and
• controlling the vehicle by adjusting the operation of at least one of:
• an interior ambient lighting system, a heating, ventilation, and air conditioning (HVAC) system, a seat massage system, and an interior aroma system based at least in part on the mood matching state in response to determining that the emotional status of the occupant is the positive occupant emotional status.

A system for interior personalization for a vehicle, the system comprising:

• one or more vehicle sensors, wherein the one or more vehicle sensors includes at least one of:
• an interior camera, an interior microphone, and a biometric sensor;
• one or more vehicle interior environmental control devices, wherein the one or more vehicle interior environmental control devices includes at least one of:
• an interior ambient lighting system, a heating, ventilation, and air conditioning (HVAC) system, a seat massage system, and an interior aroma system;
• a controller in electrical communication with the one or more vehicle sensors and the one or more vehicle interior environmental control devices, wherein the controller is programmed to:
• perform one or more measurements using the one or more vehicle sensors, wherein the one or more measurements includes at least one of:
• one or more images of a face of an occupant, one or more voice recordings of the occupant, and one or more biometric measurements of the occupant;
• execute an emotion identification machine learning algorithm, wherein the emotion identification machine learning algorithm is configured to receive the one or more images, the one or more voice recordings, and the one or more biometric measurements as an input and provide an emotional status of the occupant as an output, and wherein the emotional status of the occupant includes one of:
• a negative occupant emotional status and a positive occupant emotional status;
• and
• control the vehicle by adjusting the operation of the one or more vehicle interior environmental control devices to correspond with a mood matching state in response to identifying the positive occupant emotional status, wherein the mood matching state is determined by repeated observation of a current state of one or more operating parameters of the one or more vehicle interior environmental control devices when the emotional status of the occupant is the positive occupant emotional status.