Prototype gesture recognition interface for vehicular head-up display system

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)
308 Downloads (Pure)


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 languageEnglish
Title of host publication2018 IEEE International Conference on Consumer Electronics (ICCE)
Number of pages6
ISBN (Electronic)9781538630259
ISBN (Print)9781538630266
Publication statusPublished - 29 Mar 2018

Publication series

ISSN (Electronic)2158-4001


  • 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


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