Designing a closed loop system to achieve real-time evaluation and manipulation of state anxiety while walking in virtual reality

Siwen Wang, Ryu Okubo, Gekai Liao, Conrad Ku, Richard Sowers, Manuel E. Hernandez

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

Abstract

Real-time examination of the effect of emotional state changes on the control of movement in complex environments presents a significant challenge. Towards the goal of developing a novel test bed for monitoring and manipulating emotional states in complex environments, we aim to synthesize real-time sensing of state anxiety in humans while walking in virtual outdoor environments with implicit biofeedback. Through the use of immersive virtual reality, realistic and complex ambulation environments will be provided to participants to examine their response and adaptation to potentially anxiety-inducing stimuli in their community. Through the integration of real-time sensing of anxiety changes with biofeedback, we seek to examine the neural and behavioral response to virtual community ambulation environments and how successfully biofeedback may alleviate state anxiety in older adults.

Original languageEnglish (US)
Title of host publication2021 10th International IEEE/EMBS Conference on Neural Engineering, NER 2021
PublisherIEEE Computer Society
Pages45-48
Number of pages4
ISBN (Electronic)9781728143378
DOIs
StatePublished - May 4 2021
Event10th International IEEE/EMBS Conference on Neural Engineering, NER 2021 - Virtual, Online, Italy
Duration: May 4 2021May 6 2021

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
Volume2021-May
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554

Conference

Conference10th International IEEE/EMBS Conference on Neural Engineering, NER 2021
Country/TerritoryItaly
CityVirtual, Online
Period5/4/215/6/21

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

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