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Cars can understand their drivers’ emotions in
the context of their environment, when they’re
being driven erratically.
To learn more about how IBM and Watson
can keep drivers safe: ibm.co/CarsThatCare01
© Copyright IBM Corporation 2017. IBM, the IBM logo, and ibm.com are trademarks of International Business Machines Corp., registered in many jurisdictions
worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the web at “Copyright
and trademark information” at www.ibm.com/legal/copytrade.
Driving and emotional
indicators signal
potential danger
Your car can interpret driving behavior
and information from its occupants
to assess danger from driving while
emotionally distracted.
Chapter 2: The Diagnosis
Information classification:
Vehicle sensors:
Sensor information embedded throughout the vehicle's engine, powertrain, steering
and braking systems, among others capturing the actions of drivers and cars
Contextual data:
Environmental and topographical information; such as social media activity, weather, traffic
or location information providing context for the necessary response to distracted driving
IoT sensors:
Gather/collect information from nearby vehicles, the traffic infrastructure or
personal health monitoring devices capturing reactions to driving behavior
Emotional indicators:
Text, video, image, voice or sound information collected from the driver and occupants of the
vehicle tomonitor and interpret their frame of mind while driving
Diagnostic signals and context
Emotions detected
− Weather
− Reduce speed zones
− High accident rate zones
− Traffic conditions
Voice
analysis
Expressions
Cell phone
use
Hand
gestures
Health
monitoring
Total
Passengers
People
talking
at once
Driving
history
Conditions
Social
profiles
Force of
shutting
door
Radio
volume
/content
Acceleration
Abrupt
start/stops
Impatient
Frustrated
Sarcastic
Depressed
Peer pressured
Worried
Distracted
Drinking
Nervous
Annoyed
Sad
Fear
Ill
Grieved
Hurried
Anxious
Rushed
Happy
Angry
Upset

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Cars That Care Chapter 2: The Diagnosis of Distracted Drivers and Danger

  • 1. Cars can understand their drivers’ emotions in the context of their environment, when they’re being driven erratically. To learn more about how IBM and Watson can keep drivers safe: ibm.co/CarsThatCare01 © Copyright IBM Corporation 2017. IBM, the IBM logo, and ibm.com are trademarks of International Business Machines Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the web at “Copyright and trademark information” at www.ibm.com/legal/copytrade. Driving and emotional indicators signal potential danger Your car can interpret driving behavior and information from its occupants to assess danger from driving while emotionally distracted. Chapter 2: The Diagnosis Information classification: Vehicle sensors: Sensor information embedded throughout the vehicle's engine, powertrain, steering and braking systems, among others capturing the actions of drivers and cars Contextual data: Environmental and topographical information; such as social media activity, weather, traffic or location information providing context for the necessary response to distracted driving IoT sensors: Gather/collect information from nearby vehicles, the traffic infrastructure or personal health monitoring devices capturing reactions to driving behavior Emotional indicators: Text, video, image, voice or sound information collected from the driver and occupants of the vehicle tomonitor and interpret their frame of mind while driving Diagnostic signals and context Emotions detected − Weather − Reduce speed zones − High accident rate zones − Traffic conditions Voice analysis Expressions Cell phone use Hand gestures Health monitoring Total Passengers People talking at once Driving history Conditions Social profiles Force of shutting door Radio volume /content Acceleration Abrupt start/stops Impatient Frustrated Sarcastic Depressed Peer pressured Worried Distracted Drinking Nervous Annoyed Sad Fear Ill Grieved Hurried Anxious Rushed Happy Angry Upset