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PhysioVR: a novel mobile virtual reality framework for physiological computing

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dc.contributor.authorMuñoz, John Edison
dc.contributor.authorPaulino, Teresa
dc.contributor.authorVasanth, Harry
dc.contributor.authorBaras, Karolina
dc.date.accessioned2022-08-02T13:54:03Z
dc.date.available2022-08-02T13:54:03Z
dc.date.issued2016
dc.description.abstractVirtual Reality (VR) is morphing into a ubiquitous technology by leveraging of smartphones and screenless cases in order to provide highly immersive experiences at a low price point. The result of this shift in paradigm is now known as mobile VR (mVR). Although mVR offers numerous advantages over conventional immersive VR methods, one of the biggest limitations is related with the interaction pathways available for the mVR experiences. Using physiological computing principles, we created the PhysioVR framework, an Open-Source software tool developed to facilitate the integration of physiological signals measured through wearable devices in mVR applications. PhysioVR includes heart rate (HR) signals from Android wearables, electroencephalography (EEG) signals from a low cost brain computer interface and electromyography (EMG) signals from a wireless armband. The physiological sensors are connected with a smartphone via Bluetooth and the PhysioVR facilitates the streaming of the data using UDP communication protocol, thus allowing a multicast transmission for a third party application such as the Unity3D game engine. Furthermore, the framework provides a bidirectional communication with the VR content allowing an external event triggering using a real-time control as well as data recording options. We developed a demo game project called EmoCat Rescue which encourage players to modulate HR levels in order to successfully complete the in-game mission. EmoCat Rescue is included in the PhysioVR project which can be freely downloaded. This framework simplifies the acquisition, streaming and recording of multiple physiological signals and parameters from wearable consumer devices providing a single and efficient interface to create novel physiologically-responsive mVR applications.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMuñoz, J. E., Paulino, T., Vasanth, H., & Baras, K. (2016, September). PhysioVR: A novel mobile virtual reality framework for physiological computing. In 2016 IEEE 18th international conference on e-Health Networking, Applications and Services (Healthcom) (pp. 1-6). IEEE.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/4497
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectPhysiological computingpt_PT
dc.subjectVirtual realitypt_PT
dc.subjectSmartphonept_PT
dc.subjectHeart ratept_PT
dc.subjectEEGpt_PT
dc.subjectEMGpt_PT
dc.subjectWearablespt_PT
dc.subjectFrameworkpt_PT
dc.subjectOpen-Sourcept_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.titlePhysioVR: a novel mobile virtual reality framework for physiological computingpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.titleIEEE 18th international conference on e-Health Networking, Applications and Services (Healthcom)pt_PT
person.familyNamePaulino
person.familyNameVasanth
person.familyNameBARAS
person.givenNameTeresa
person.givenNameHarry
person.givenNameKAROLINA
person.identifierhttps://scholar.google.pt/citations?user=nkIo3MQAAAAJ&hl=en
person.identifier.ciencia-id811B-FF50-B05A
person.identifier.ciencia-id2713-BE39-CE26
person.identifier.orcid0000-0003-4292-8758
person.identifier.orcid0000-0002-9134-0398
person.identifier.orcid0000-0002-2050-6565
person.identifier.ridI-6057-2017
person.identifier.scopus-author-id57192432745
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationa1ac4494-4759-473a-bfe3-170ad636a7d4
relation.isAuthorOfPublication0d847bd1-1927-4bfa-ba7e-cb1bbd463763
relation.isAuthorOfPublication13e11711-0ef8-40f2-805c-a3b707516d54
relation.isAuthorOfPublication.latestForDiscovery13e11711-0ef8-40f2-805c-a3b707516d54

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