Abstract
In the not too distant future, the median populationage will tend towards 65; an age at which the needfor dependency increases. Most older people want to remainautonomous and self-sufficient for as long as possible. Asenvironments become smarter home automation solutions canbe provided to support this aspiration. The technology discussedwithin this paper focuses on providing a home automationsystem that can be controlled by most users regardless ofmobility restrictions, and hence it may be applicable to olderpeople. It comprises a hybrid Brain-Computer Interface, homeautomation user interface and actuators. In the first instance,our system is controlled with conventional computer input,which is then replaced with eye tracking and finally a BCI andeye tracking collaboration. The systems have been assessed interms of information throughput; benefits and limitations areevaluated.
| Original language | English |
|---|---|
| Title of host publication | Unknown Host Publication |
| Publisher | IEEE |
| Pages | 5032 -5035 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published (in print/issue) - 25 Aug 2015 |
| Event | Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE - Milan Duration: 25 Aug 2015 → … |
Conference
| Conference | Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE |
|---|---|
| Period | 25/08/15 → … |
Keywords
- BCI
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Dive into the research topics of 'Promoting Autonomy in a Smart Home Environment with a Smarter Interface'. Together they form a unique fingerprint.Student theses
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Brain-computer interface and eye tracker as collaborative assistive technologies
Brennan, C. P. (Author), Mc Cullagh, P. (Supervisor), Lightbody, G. (Supervisor) & Galway, L. (Supervisor), Feb 2018Student thesis: Doctoral Thesis
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