Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.13/1030
Título: Integrating eye tracking in virtual reality for stroke rehabilitation
Autor: Alves, Júlio Miguel Gomes Rebelo
Orientador: Badia, Sergi Bermúdez i
Bernardino, Alexandre José Malheiro
Palavras-chave: Eye tracking
Gaze behavior
Virtual reality
Stroke
Rehabilitation
Informatics Engineering
.
Centro de Ciências Exatas e da Engenharia
Data de Defesa: Set-2014
Resumo: This thesis reports on research done for the integration of eye tracking technology into virtual reality environments, with the goal of using it in rehabilitation of patients who suffered from stroke. For the last few years, eye tracking has been a focus on medical research, used as an assistive tool  to help people with disabilities interact with new technologies  and as an assessment tool  to track the eye gaze during computer interactions. However, tracking more complex gaze behaviors and relating them to motor deficits in people with disabilities is an area that has not been fully explored, therefore it became the focal point of this research. During the research, two exploratory studies were performed in which eye tracking technology was integrated in the context of a newly created virtual reality task to assess the impact of stroke. Using an eye tracking device and a custom virtual task, the system developed is able to monitor the eye gaze pattern changes over time in patients with stroke, as well as allowing their eye gaze to function as an input for the task. Based on neuroscientific hypotheses of upper limb motor control, the studies aimed at verifying the differences in gaze patterns during the observation and execution of the virtual goal-oriented task in stroke patients (N=10), and also to assess normal gaze behavior in healthy participants (N=20). Results were found consistent and supported the hypotheses formulated, showing that eye gaze could be used as a valid assessment tool on these patients. However, the findings of this first exploratory approach are limited in order to fully understand the effect of stroke on eye gaze behavior. Therefore, a novel model-driven paradigm is proposed to further understand the relation between the neuronal mechanisms underlying goal-oriented actions and eye gaze behavior.
URI: http://hdl.handle.net/10400.13/1030
Designação: Master in Informatics Engineering
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