Empowering UX of Elderly People with Parkinson’s Disease via BCI Touch
The application introduced within this paper, BCI Touch, is based on a prior knowledge base focused on the world of accessibility, within the field of information and communication technologies, EVA Facial Mouse application. Our main objective is to explore new paradigms of interaction, for the specific context of elder people with psycho-motor impairments. Something as routine and humdrum as the use of mobile devices can be an insurmountable barrier depending on the psycho-motor abilities of the user. Therefore, BCI Touch makes use of an innovative data source within the human-computer interaction field, such as brainwaves and brain activity patterns.
Through the processing and adequate treatment of the bio-signals coming from the electroencephalography (EEG), which is recorded by the Emotiv Epoc+ brain-computer interface (BCI), we are able to control events that in turn trigger actions that facilitate interaction with the mobile device. BCI Touch includes a variety of possible interaction mechanisms, ranging from interaction by movement (cursor control with the nose tracker) to interaction using mental commands, passing through interaction through facial expressions. All these capabilities involve a comprehensive solution that considerably improves the technological and personal autonomy of elder people with Parkinson’s disease (PD).
KeywordsElderly people Ambient assisted living Brain-computer interfaces (BCI) Wearable systems Applications and case studies
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