View stunning SlideShares in full-screen with the new iOS app!Introducing SlideShare for AndroidExplore all your favorite topics in the SlideShare appGet the SlideShare app to Save for Later — even offline
View stunning SlideShares in full-screen with the new Android app!View stunning SlideShares in full-screen with the new iOS app!
USIU CHANDARIA SCHOOL OF BUSINESS Nissan Developing Mind-Reading Cars That Anticipate Drivers' Next Moves and Act Accordingly Author: Rebecca Boyle Date: 28/09/2011 By Moses Majiwa SID: 628324 6th October, 2011
INTRODUCTION Human-Machine interface – earliest known forms of interactions with machines in manufacturing Brain–Machine Interface (BMI) is a technology that creates a direct communication pathway between the brain and an external device. It allows the control of computers or the external device with the regulation of brain activity alone. It started with the discovery of the electrical activity of human brain and the development of Electroencephalography (EEG) – Recording of electrical activities along the scalp. It is widely used in medical science for the correction of damaged hearing, sight and movement (spinal cord injury).
NISSAN/EPFL Project Combines EPFL advances in wheelchair systems and Nissan’s advance safety systems for cars such as Intelligent CruiseControl, Distance Control Assist and Moving Object Detection
Most widely known Computer Human interface is in the keyboard and the mouse
Other areas include virtual world, voice recognition, handwriting recognition as well as gesture recognition to give new paradigm of computing
Advances in science and technology is now enabling the direct interface between the brain and the computer
Application into the fields other than medical science to enhance human experience and comfort
Summary of main points Safer driving environment: Predicts the drivers next move and prepares the car for anticipated actions as well as eliminating conflicts between car motion and driver action Slow speed, braking, turning Improved driving Experience: Combination of driver and vehicle intelligence enhances the driving experience Augments the automatic gearbox driving experience Reduced Driver Stress: Brainwave analysis is helping researchers understand the burden of driving. The Nissan/EPFL system reduces the stress on the driver. Reduces stressful experiences while driving
Information transfer rates for BCI’s still very low (5 to 25bits per minute)
conclusions Scientific discoveries such as that of EEG and technological advancement in the field of artificial intelligence has greatly contributed in the medical field for correction of certain disorders These achievements are now being used to extend the application of BMI into smart motoring by conceiving of a hands free driving.