View source for 18055580. VEHICLE SYSTEM AND METHOD FOR PROVIDING FEEDBACK BASED ON OCCUPANT BEHAVIOR AND EMOTION simplified abstract (GM GLOBAL TECHNOLOGY OPERATIONS LLC)

=VEHICLE SYSTEM AND METHOD FOR PROVIDING FEEDBACK BASED ON OCCUPANT BEHAVIOR AND EMOTION=


==Organization Name==

[[:Category:GM GLOBAL TECHNOLOGY OPERATIONS LLC|GM GLOBAL TECHNOLOGY OPERATIONS LLC]]


[[Category:GM GLOBAL TECHNOLOGY OPERATIONS LLC]]

==Inventor(s)==

[[:Category:Arun Adiththan of Sterling Heights MI (US)|Arun Adiththan of Sterling Heights MI (US)]][[Category:Arun Adiththan of Sterling Heights MI (US)]]

[[:Category:Aravind Gangumalla of Novi MI (US)|Aravind Gangumalla of Novi MI (US)]][[Category:Aravind Gangumalla of Novi MI (US)]]

[[:Category:Vikramaditya Nimmagadda of Wixom MI (US)|Vikramaditya Nimmagadda of Wixom MI (US)]][[Category:Vikramaditya Nimmagadda of Wixom MI (US)]]

==VEHICLE SYSTEM AND METHOD FOR PROVIDING FEEDBACK BASED ON OCCUPANT BEHAVIOR AND EMOTION - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18055580 titled 'VEHICLE SYSTEM AND METHOD FOR PROVIDING FEEDBACK BASED ON OCCUPANT BEHAVIOR AND EMOTION

==Simplified Explanation==

The abstract describes a vehicle system that recommends driving automation based on occupant behavior and emotion. The system includes input devices that generate signals related to the occupant's current emotion and driving pattern. A computer with a processor and storage medium stores occupant behavior profiles, historical driving patterns, and associated emotions. The processor analyzes the current driving pattern, compares it to historical data, and generates a notification signal to recommend activating the vehicle system.

* Input devices generate signals for current occupant emotion and driving pattern
* Computer stores occupant behavior profiles, historical driving patterns, and emotions
* Processor analyzes current driving pattern and compares it to historical data
* Notification signal is generated to recommend activating the vehicle system

== Potential Applications ==
This technology could be applied in autonomous vehicles, driver assistance systems, and smart car technologies.

== Problems Solved ==
This technology helps improve road safety by recommending driving automation based on occupant behavior and emotion, reducing the risk of accidents caused by human error.

== Benefits ==
The system enhances the driving experience by providing personalized recommendations for driving automation, increasing comfort and convenience for occupants.

== Potential Commercial Applications ==
This technology could be utilized by automotive manufacturers, ride-sharing companies, and fleet management services to enhance the safety and efficiency of their vehicles.

== Possible Prior Art ==
One possible prior art could be systems that analyze driver behavior for adaptive cruise control or lane-keeping assistance in vehicles.

=== Unanswered Questions ===

=== How does the system ensure data privacy and security for occupant behavior profiles and emotions? ===
The article does not address the specific measures taken to protect the sensitive data collected from occupants and stored in the system.

=== What are the potential limitations or challenges of implementing this technology in real-world driving scenarios? ===
The article does not discuss any potential obstacles or difficulties that may arise when integrating this system into everyday driving situations.


==Original Abstract Submitted==

A vehicle system for recommending driving automation based on occupant behavior and emotion includes one or more input devices. The input devices generate an input signal associated with sensor data indicative of a current emotion and a current driving pattern of an occupant. The vehicle system further includes a computer having a processor and a non-transitory computer readable storage medium (CRM). The CRM stores multiple occupant behavior profiles, with each occupant behavior profile including a unique occupant identification and multiple historical driving patterns. Each driving pattern has an associated historical emotion for the unique occupant identification. The processor is programmed to determine a deviation of the current driving pattern from the historical driving patterns, compare the deviation to a threshold, and generate a notification signal. The notification device provides the notification to recommend that the occupant actuate the vehicle system.



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