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SMART CAR Natural User Interface Technology

SMART CAR Natural User Interface Technology. CAR CUSTOMIZATION BY USER RECOGNITION. About the project …. Smart Car. Definition: An automobile with an advanced system which can provide an enhanced driving experience and also provides active safety features. State of the Art.

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SMART CAR Natural User Interface Technology

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  1. SMART CARNatural User Interface Technology CAR CUSTOMIZATION BY USER RECOGNITION

  2. Abouttheproject…

  3. Smart Car • Definition: An automobile with an advanced system which can provide an enhanced driving experience and also provides active safety features

  4. State of the Art • Crash Avoidance Systems • Energy Consumption • Lane Tracking • Night-vision Obstacle Detection • Smart Cruise Control • Driver-Car Vocal interaction

  5. Car Technology in the works… • Self-driven cars. • AugmentedRealitydashboards – Windshields and touch-screenwindows(BMW & Toyota). • Adaptive Highbeam Assist (Lexus) – graduallyadjusting light distributionbasedondistance of approaching cars.

  6. Future Car Technologies • Vehicle-to-vehiclecommunication (V2V) – usingwirelesssignals to sendinformationbetween cars. • Vehicle-to-infrastructurecommunication (V2I) – allowvehiclescommunicationwithtrafficsignals. • Provideinformation to vehicleabout safety issues • WiFi Internet Access in movingvehicles.

  7. What are driver’s needs? • COMFORT • ASSISTANCE • SECURITY

  8. What do we provide? • A user-friendly system, based on a NUIT: • Recognition of the driver who takes a seat • Loading of a user-based profile with a given customization • The needs of the specific user are fulfilled

  9. NUIT appliedto Smart Car • Whichtechnologies are weimplementingtodevelop a Natural User Interface? • FACE RECOGNITION • SPEECH RECOGNITION

  10. FaceRecognition • Cross-correlation? • Face-tracking to look forcertainpatterns to detectmoodor fatigue/tiredness? • …

  11. Problems of Face Recognition • Creating a unique face signature for every person • Sun glasses • Painted eyebrows • Long hair • Beards • Viewing angle of face • Poor lighting • Big smiles • Privacy

  12. SpeechRecognition • Cross correlation? • Dynamic Time Warping? • HiddenMarkovModels • …

  13. Problems of Speech Recognition • Error rates increase as the vocabulary size grows • The 10 digits "zero" to "nine" can be recognized essentially perfectly, but vocabulary sizes of 200, 5000 or 100000 may have error rates of 3%, 7% or 45% respectively. • Spontaneous Speech like “uh” and “um” • Environmental noise (e.g. Noise in a car or a factory) • Acoustical distortions (e.g. echoes, room acoustics) • Homonyms Hidden Markov Models

  14. Theaim: tosatisfy driver needs • COMFORT:Facerecognition can enableautomaticcustomization in order to fitthedriver’spreferences. • Automaticrearviewmirrors set • Automaticseat set • Automaticsuspension set • Radio stationpresets • Drivingwheel’sheight • …

  15. Theaim: tosatisfy driver needs • ASSISTANCE:Speechrecognitionmay be useful in ordertoprovidecertaincapabilitiestothe car. • Updatetasklist (in themobilephone) • Givecustomizationorders (turnon/off the radio, make a call, ...) withouttakingeyes off road. • Select a destinationtoupdate GPS system • …

  16. Theaim: tosatisfy driver needs • SECURITY:securitymay be improvedbyusingfacerecognition. • Enginewon’tstartifyou are notanauthorized driver • Different drivers mayhavediferentpermissionsorspeedlimitations. • …

  17. Kiitos!

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