18055190. VEHICLE SYSTEM AND METHOD FOR ADJUSTING INTERIOR CONTROL SETTINGS BASED ON DRIVER EMOTION AND ENVIRONMENTAL CONTEXT simplified abstract (GM GLOBAL TECHNOLOGY OPERATIONS LLC)

VEHICLE SYSTEM AND METHOD FOR ADJUSTING INTERIOR CONTROL SETTINGS BASED ON DRIVER EMOTION AND ENVIRONMENTAL CONTEXT

Organization Name

GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor(s)

Aravind Gangumalla of Novi MI (US)

Vikramaditya Nimmagadda of Wixom MI (US)

Arun Adiththan of Sterling Heights MI (US)

VEHICLE SYSTEM AND METHOD FOR ADJUSTING INTERIOR CONTROL SETTINGS BASED ON DRIVER EMOTION AND ENVIRONMENTAL CONTEXT - A simplified explanation of the abstract

This abstract first appeared for US patent application 18055190 titled 'VEHICLE SYSTEM AND METHOD FOR ADJUSTING INTERIOR CONTROL SETTINGS BASED ON DRIVER EMOTION AND ENVIRONMENTAL CONTEXT

Simplified Explanation

The patent application describes a method for operating a vehicle with an interior control setting system using occupant input signals to determine and adjust interior control settings based on the total number of occupants, their classification, and current emotions.

• The method involves generating occupant input signals associated with sensor data, including the total number of occupants, their classification, and current emotions.
• Multiple occupant profiles are used to determine an n-occupant emotion vector based on the total number of occupants and their classification.
• The n-occupant emotion vector is mapped to interior control settings to predict and adjust the interior control setting for each occupant.
• An actuation signal is generated based on the predicted interior control setting to actuate vehicle components accordingly.

Potential Applications

This technology could be applied in autonomous vehicles, ride-sharing services, and smart homes to enhance the overall user experience by personalizing interior settings based on occupants' emotions.

Problems Solved

This technology solves the problem of providing a more comfortable and tailored experience for vehicle occupants by automatically adjusting interior control settings based on their emotions and preferences.

Benefits

The benefits of this technology include improved comfort, convenience, and overall satisfaction for vehicle occupants, leading to a more enjoyable and personalized travel experience.

Potential Commercial Applications

Potential commercial applications of this technology include automotive industry for self-driving cars, transportation services for ride-sharing vehicles, and home automation systems for personalized settings based on occupants' emotions.

Possible Prior Art

One possible prior art for this technology could be the use of facial recognition software in vehicles to detect occupants' emotions and adjust settings accordingly. Another could be the use of biometric sensors in smart homes to personalize settings based on occupants' preferences.

What are the potential safety implications of using occupant emotions to adjust vehicle settings?

Using occupant emotions to adjust vehicle settings could potentially distract the driver if the adjustments are made in real-time without considering the driving conditions. It is important to ensure that the adjustments do not compromise the safety of the vehicle and its occupants.

How can this technology be integrated with existing vehicle control systems?

This technology can be integrated with existing vehicle control systems through software updates or by incorporating the necessary hardware components to enable emotion detection and adjustment of interior settings. Collaboration with automotive manufacturers and technology companies would be essential for successful integration.

Original Abstract Submitted

A method is provided for operating a vehicle having an interior control setting system with a computer. One or more occupant input devices generate an occupant input signal associated with sensor data, which indicates a total number of occupants, a classification, and a current emotion for each occupant disposed in the vehicle. One or more processors uses multiple occupant profiles, with each occupant profile mapped to a unique occupant identification and a plurality of actuated interior control settings, to determine an n-occupant emotion vector based on the total number of the occupants and the classification for each occupant. The processor maps the n-occupant emotion vector to interior control settings and determines a predicted interior control setting for the occupant. The processor generates an actuation signal associated with the predicted interior control setting, such that one or more actuators actuate a vehicle component based on the predicted interior control setting.