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dc.contributor.authorSalgado, Débora Pereira
dc.contributor.authorMartins, Felipe Roque
dc.contributor.authorRodrigues, Thiago Braga
dc.contributor.authorKeighrey, Conor
dc.contributor.authorFlynn, Ronan
dc.contributor.authorNaves, Eduardo Lázaro Martins
dc.contributor.authorMurray, Niall
dc.identifier.citationDébora Pereira et al (2018). A QoE assessment method based on EDA, heart rate and EEG of a virtual reality assistive technology system. The 9th ACM Multimedia Systems Conference, June 12-15 2018, Amsterdam. DOI: 10.1145/3204949.3208118en_US
dc.descriptionConference Paper
dc.description.abstractThe1 key aim of various assistive technology (AT) systems is to augment an individual’s functioning whilst supporting an enhanced quality of life (QoL). In recent times, we have seen the emergence of Virtual Reality (VR) based assistive technology systems made possible by the availability of commercially available Head Mounted Displays (HMDs). The use of VR for AT aims to support levels of interaction and immersion not previously possibly with more traditional AT solutions. Crucial to the success of these technologies is understanding, from the user perspective, the influencing factors that affect the user Quality of Experience (QoE). In addition to the typical QoE metrics, other factors to consider are human behavior like mental and emotional state, posture and gestures. In terms of trying to objectively quantify such factors, there are wide ranges of wearable sensors that are able to monitor physiological signals and provide reliable data. In this demo, we will capture and present the users EEG, heart Rate, EDA and head motion during the use of AT VR application. The prototype is composed of the sensor and presentation systems: for acquisition of biological signals constituted by wearable sensors and the virtual wheelchair simulator that interfaces to a typical LCD display.en_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland*
dc.subjectHuman centred computingen_US
dc.subjectVirtual realityen_US
dc.subjectHuman computer interactionen_US
dc.subjectComputer networksen_US
dc.subjectMultimedia communicationsen_US
dc.subjectAssistive technologyen_US
dc.titleA QoE assessment method based on EDA, heart rate and EEG of a virtual reality assistive technology system.en_US
dc.typeBook chapteren_US
dc.rights.accessOpen Accessen_US
dc.subject.departmentElectronics, Computer & Software Engineering AITen_US

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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland