Marc-Aurèle Rivière, S. L. Gay, Katerine Romeo, E. Pissaloux, M. Bujacz, P. Skulimowski, P. Strumiłło
{"title":"NAV-VIR: an audio-tactile virtual environment to assist visually impaired people*","authors":"Marc-Aurèle Rivière, S. L. Gay, Katerine Romeo, E. Pissaloux, M. Bujacz, P. Skulimowski, P. Strumiłło","doi":"10.1109/NER.2019.8717086","DOIUrl":null,"url":null,"abstract":"This paper introduces the NAV-VIR system, a multimodal virtual environment to assist visually impaired people in virtually discovering and exploring unknown areas from the safety of their home. The originality of NAV-VIR resides in (1) an optimized representation of the surrounding topography, the spatial gist, based on human spatial cognition models and the sensorimotor supplementation framework, and (2) a multimodal orientation-aware immersive virtual environment relying on two synergetic interfaces: an interactive force feedback tablet, the F2T, and an immersive HRTF-based 3D audio simulation relying on binaural recordings of real environments. This paper presents NAV-VIR functionalities and its preliminary evaluation through a simple shape and movement perception task.","PeriodicalId":356177,"journal":{"name":"2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":" 5","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NER.2019.8717086","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper introduces the NAV-VIR system, a multimodal virtual environment to assist visually impaired people in virtually discovering and exploring unknown areas from the safety of their home. The originality of NAV-VIR resides in (1) an optimized representation of the surrounding topography, the spatial gist, based on human spatial cognition models and the sensorimotor supplementation framework, and (2) a multimodal orientation-aware immersive virtual environment relying on two synergetic interfaces: an interactive force feedback tablet, the F2T, and an immersive HRTF-based 3D audio simulation relying on binaural recordings of real environments. This paper presents NAV-VIR functionalities and its preliminary evaluation through a simple shape and movement perception task.