Prototype gesture recognition interface for vehicular head-up display system

Ramesh Lagoo; Vassilis Charissis; Warren Chan; Soheeb Khan; David Harrison

doi:10.1109/ICCE.2018.8326146

Prototype gesture recognition interface for vehicular head-up display system

Ramesh Lagoo, Vassilis Charissis, Warren Chan, Soheeb Khan, David Harrison

Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 Citations (Scopus)

344 Downloads (Pure)

Abstract

The proliferation of infotainment systems in the contemporary vehicular environment offers an abundance of information which is typically not distilled or prioritised according to the driver's requirements and driving conditions. Additionally, this requires from the driver to operate multiple interfaces, resulting in an overwhelming cognitive load and a higher probability of collision. Our work presents a new multimodal Head-Up Display interface that aims to enhance human responses during a potential collision whilst moderate the plethora of incoming information through a simplified and manageable system. The latter is fully interactive and operated with the use of an embedded gesture recognition system. The proposed system was evaluated by comparison to a traditional Head-Down Display interface system by twenty users, with the use of a high-fidelity driving simulator. The results were in favour of the proposed system which reduces the collision propensity by 90% in a motorway environment.

Original language	English
Title of host publication	2018 IEEE International Conference on Consumer Electronics (ICCE)
Publisher	IEEE
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781538630259
ISBN (Print)	9781538630266
DOIs	https://doi.org/10.1109/ICCE.2018.8326146
Publication status	Published - 29 Mar 2018
Event	IEEE International Conference on Consumer Electronics : ST09: AR&VR Display and Human Interface Technologies for Automobile (AVA) - Las Vegas Convention Center, Las Vegas, United States Duration: 12 Jan 2018 → 15 Jan 2018 Conference number: 36 https://ccnc2018.ieee-ccnc.org/

Publication series

Name
ISSN (Electronic)	2158-4001

Conference

Conference	IEEE International Conference on Consumer Electronics
Abbreviated title	(IEEE/ICCE)
Country/Territory	United States
City	Las Vegas
Period	12/01/18 → 15/01/18
Internet address	https://ccnc2018.ieee-ccnc.org/

Keywords

head up display
gesture recognition
driving simulator
virtual reality
augmented reality
simulation analysis
mobile phones
navigation
Driving Simulator
Traffic Flow
Displays
Collision Avoidance
Head Up Display
Gesture Recognition
Infotainment System

ASJC Scopus subject areas

Automotive Engineering
Human-Computer Interaction
Computer Science Applications
Artificial Intelligence
Information Systems
Electrical and Electronic Engineering
Computer Networks and Communications
Media Technology

Documents and Links

10.1109/ICCE.2018.8326146Licence: Unspecified

Lagoo, R. et al (2018) Prototype gesture recognition interface for vehicular head-up display system
Copyright © 2018 IEEE. This is a post-peer review, pre-copy edited version of the article and may differ slightly from the final published version of the work. This work is made available in line with the publisher policy. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Author accepted manuscript, 990 KBLicence: Unspecified

13 Citations
11 Conference contribution
4 Article
1 Paper

AR guidance system for traffic circumvention and collision avoidance: emergency services case study
Bram-Larbi, K. F., Charissis, V., Khan, S., Lagoo, R., Drikakis, D. & Harrison, D. K., 13 May 2021, 2021 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 6 p. 9427708. (Proceedings of ... IEEE International Symposium on Consumer Electronics).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File
2 Citations (Scopus)

261 Downloads (Pure)
Design principles and user experience of automotive head-up display development
Charissis, V., Bram Larbi, K. F., Lagoo, R., Wang, S. & Khan, S., 2 Dec 2021, Proceedings of The 28th International Display Workshops. International Display Workshops, Vol. 28. p. 662-665 4 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Employing emerging technologies to develop and evaluate in-vehicle intelligent systems for driver support: infotainment AR HUD case study
Charissis, V., Falah, J., Lagoo, R., Alfalah, S. F. M., Khan, S., Wang, S., Altarteer, S., Bram Larbi, K. & Drikakis, D., Feb 2021, In: Applied Sciences. 11, 4, p. 1-28 28 p., 1397.
Research output: Contribution to journal › Article › peer-review

Open Access
File
42 Citations (Scopus)

243 Downloads (Pure)

Cite this

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title = "Prototype gesture recognition interface for vehicular head-up display system",

abstract = "The proliferation of infotainment systems in the contemporary vehicular environment offers an abundance of information which is typically not distilled or prioritised according to the driver's requirements and driving conditions. Additionally, this requires from the driver to operate multiple interfaces, resulting in an overwhelming cognitive load and a higher probability of collision. Our work presents a new multimodal Head-Up Display interface that aims to enhance human responses during a potential collision whilst moderate the plethora of incoming information through a simplified and manageable system. The latter is fully interactive and operated with the use of an embedded gesture recognition system. The proposed system was evaluated by comparison to a traditional Head-Down Display interface system by twenty users, with the use of a high-fidelity driving simulator. The results were in favour of the proposed system which reduces the collision propensity by 90% in a motorway environment.",

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note = "Acceptance in SAN Proceedings in IEEE Xplore has ISSN, in scope of REF policy. ET Exception email to author 14/11/19 ET ; IEEE International Conference on Consumer Electronics : ST09: AR&VR Display and Human Interface Technologies for Automobile (AVA), (IEEE/ICCE) ; Conference date: 12-01-2018 Through 15-01-2018",

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AB - The proliferation of infotainment systems in the contemporary vehicular environment offers an abundance of information which is typically not distilled or prioritised according to the driver's requirements and driving conditions. Additionally, this requires from the driver to operate multiple interfaces, resulting in an overwhelming cognitive load and a higher probability of collision. Our work presents a new multimodal Head-Up Display interface that aims to enhance human responses during a potential collision whilst moderate the plethora of incoming information through a simplified and manageable system. The latter is fully interactive and operated with the use of an embedded gesture recognition system. The proposed system was evaluated by comparison to a traditional Head-Down Display interface system by twenty users, with the use of a high-fidelity driving simulator. The results were in favour of the proposed system which reduces the collision propensity by 90% in a motorway environment.

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KW - virtual reality

KW - augmented reality

KW - simulation analysis

KW - mobile phones

KW - navigation

KW - Driving Simulator

KW - Traffic Flow

KW - Displays

KW - Collision Avoidance

KW - Head Up Display

KW - Gesture Recognition

KW - Infotainment System

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ER -

Prototype gesture recognition interface for vehicular head-up display system

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Documents and Links

Fingerprint

Research output

AR guidance system for traffic circumvention and collision avoidance: emergency services case study

Design principles and user experience of automotive head-up display development

Employing emerging technologies to develop and evaluate in-vehicle intelligent systems for driver support: infotainment AR HUD case study

Cite this