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Chrysler 300M Research Platform. Cooperative Effort. Current Social Issue. CC++ 300M Driver Study Apply lab experience in Media and Human Interface technologies Build vehicle platform to develop and test driver behavior Develop information workload manager.
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Chrysler 300M Research Platform Cooperative Effort
CC++ 300M Driver Study Apply lab experience in Media and Human Interface technologies Build vehicle platform to develop and test driver behavior Develop information workload manager OEM/Supplier/University Collaboration - DaimlerChrysler/Motorola/M.I.T. Vehicle Thinks! Controls Flow of Information (warnings, phone, etc…) Identify Vehicle Motion (stop, turn, accel) Location Aware (speed, position, …) Monitor In-vehicle Situation (mood, cognitive load) Develop Tangible Interfaces (transfer info to human) Identify Driver Behavior and Stress Level
Traffic Sensors How dense is the traffic?
Foot Position Sensors Is driver getting ready to apply brake?
Finger Position Sensors Driver hands/mind busy?
Finger Position Sensors Driver hands/mind busy?
Student Faculty Presentations300M Work Effort Carson Reynolds - Stress Sensings Ashish Kapoor - Eye/Head Tracking Joe Pompei – Audio Spotlight and Algorithm Taly Sharon - Driving Coach James Kemp – I/O Data Concentrator/Controller Betty Lou McClanahan - Emotion John Hansman - Driver-to-vehicle Interface
Perceptual Sensors Carson Reynolds & Ashish Kapoor MIT Media Laboratory CC++
Pressure Sensors • Using force sensitive resistors we sense grip pressure on: • Steering Wheel • Shift Knob
Pressure Sensors • Two custom data acquisition boards can read 16 sensors. • Embedded microcontrollers perform analog to digital conversion.
Hypothesis: People apply distinctive pressure patterns to the mouse when encountering stressful situations. Results: using pattern recognition, 88% accuracy distinguishing stressful situations from control.
Pressure Sensors • Using pressure sensors we’ll be able to detect the position of driver’s hands. • Pressure patterns will help us understand driver cognitive load.