A GESTURE-DRIVEN ADAPTIVE INTERFACE FOR SAFER DRIVING

In this paper, the authors present a non-contact prototype interface designed for the operation of secondary controls in a vehicle. The current controls are replaced by a computer interface that is operated by the driver using pointing gestures and which is identified by a computer vision system. This vision system monitors the steering wheel area, thus detecting and tracking a driver's hands and subsequently identifying pointing gestures. The paper describes the prototype and the preliminary results from both the interface and the vision systems.

Supplemental Notes:
- Publication Date: 2000. ERA Technology, Leatherhead, Surrey
Corporate Authors:
Ford-Werke AG

,

Delphi Automotive Systems

Troy, MI United States

British Broadcasting Corporation

,

RAM Mobile Data Ltd.

,

Cambridge Consultants Ltd.

,

HUSAT RESEARCH INSTITUTE

THE ELMS, ELM GROVE
LOUGHBOROUGH, LEICESTERSHIRE United Kingdom LE11 1RG

DERA Centre for Human Sciences

,

University of Birmingham, Edgbaston

Accident Research Centre
Birmingham,   United Kingdom B15 2TT

DaimlerChrysler Forschungszentrum in Ulm

,

TRL

Crowthorne House, Nine Mile Ride
Wokingham, Berkshire United Kingdom RG40 3GA

Dearborn Electronics Ltd.

,

National Physical Laboratory (Great Britain)

,
Authors:
- Cairnie, N
- McAllister, G
- Ricketts, I W
- McKenna, S J
- Gale, A G
- Loker, T W
- Selwood, P
Conference:
- European Conference on Vehicle Electronic Systems (2000 : Stratford- upon-Avon, England). Vehicle electronic systems 2000
Publication Date: 2000

Language

English

Media Info

Pagination: p. 3.4.1-3.4.12

Subject/Index Terms

TRT Terms: Computer vision; Driving; Human machine systems
Subject Areas: Safety and Human Factors;

Filing Info

Accession Number: 00922075
Record Type: Publication
Source Agency: UC Berkeley Transportation Library
Files: PATH
Created Date: Apr 2 2002 12:00AM