Gestural interaction in vehicular applications

Andreas Riener

doi:10.1109/MC.2012.108

Gestural interaction in vehicular applications

Andreas Riener

Institute of Pervasive Computing

Research output: Contribution to journal › Article › peer-review

Abstract

In-vehicle gestural interfaces are easy to use and increase safety by reducing visual demand on the driver. Prototype capacitive proximity sensing and depth-camera-based systems demonstrate that current technologies can recognize finger and hand gestures of varying complexity.

Original language	English
Pages (from-to)	42-47
Number of pages	6
Journal	Computer
Volume	45
Issue number	4
DOIs	https://doi.org/10.1109/MC.2012.108
Publication status	Published - Apr 2012

Fields of science

102 Computer Sciences
102009 Computer simulation
102013 Human-computer interaction
102019 Machine learning
102020 Medical informatics
102021 Pervasive computing
102022 Software development
102025 Distributed systems
202017 Embedded systems
211902 Assistive technologies
211912 Product design

JKU Focus areas

Computation in Informatics and Mathematics
Engineering and Natural Sciences (in general)

Access to Document

10.1109/MC.2012.108

Cite this

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title = "Gestural interaction in vehicular applications",

abstract = "In-vehicle gestural interfaces are easy to use and increase safety by reducing visual demand on the driver. Prototype capacitive proximity sensing and depth-camera-based systems demonstrate that current technologies can recognize finger and hand gestures of varying complexity.",

author = "Andreas Riener",

year = "2012",

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doi = "10.1109/MC.2012.108",

language = "English",

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pages = "42--47",

journal = "Computer",

issn = "0018-9162",

publisher = "IEEE Computer Society",

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JO - Computer

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Gestural interaction in vehicular applications

Abstract

Fields of science

JKU Focus areas

Access to Document

Other files and links

SOCIONICAL - Complex Socio-Technical System in Ambient Intelligence

Cite this

Gestural interaction in vehicular applications

Abstract

Fields of science

JKU Focus areas

Access to Document

Other files and links

Projects

SOCIONICAL - Complex Socio-Technical System in Ambient Intelligence

Cite this