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