Electrotactile Stimulation, A New Feedback Channel for First Responders

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

This paper presents the early results of research aiming to develop a novel system for unobtrusive and intuitive electrotactile feedback for first responders. The system leverages the multi-pad stimulation technology based on spatiotemporal modulation of the stimuli. Two-point discrimination threshold mapping was performed in potential electrode placement locations, defined from the usability perspective by the first responders in initial co-development sessions. Based on these results a custom electrode design was proposed and validated in six healthy volunteers. Psychometric testing was conducted to determine spatial discrimination between stimuli produced by the multi-pad electrode. The average success rate of 80% indicates that the proposed approach is feasible.
Original languageEnglish
Title of host publicationunknown
EditorsHasan Ayaz, Umer Asgher, Lucas Paletta
PublisherSpringer
Pages489-496
Number of pages8
Volume259
ISBN (Print)9783030802844
DOIs
Publication statusPublished - 4 Jul 2021
EventAHFE Conferences on Neuroergonomics and Cognitive Engineering, Industrial Cognitive Ergonomics and Engineering Psychology, and Cognitive Computing and Internet of Things, 2021 - Virtual, Online
Duration: 25 Jul 202129 Jul 2021

Publication series

Name2367-3370

Conference

ConferenceAHFE Conferences on Neuroergonomics and Cognitive Engineering, Industrial Cognitive Ergonomics and Engineering Psychology, and Cognitive Computing and Internet of Things, 2021
CityVirtual, Online
Period25/07/2129/07/21

Keywords

  • Electrotactile stimulation
  • Mission-critical communications
  • H2020
  • Biofeedback
  • First responders

Project and Funding Information

  • Project ID
  • info:eu-repo/grantAgreement/EC/H2020/883315/EU/Smart integrated extreme environment health monitor with sensory feedback for enhanced situation awareness/SIXTHSENSE
  • Funding Info
  • The work presented in this paper was funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 883315.

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