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Neurophone: Brain Mobile Phone Using A Wireless Eeg Headset
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ali, Rammah Al-Ahnomi, Hussien |
| Copyright Year | 2014 |
| Abstract | Neurophone is a device that acquires and analyzes neural signals with the goals of creating a communication channel directly between the brain and mobile phone. Currently, neurophone uses neural signal to control mobile phone for hands-free, silent and effortless human-mobile interaction using a wireless EEG headset. However, devices for detecting neural signal have been costly, bulky and fragile. Therefore, in this project a neural signal is proposed due to fact that neural signals are everywhere just like mobile phones which uses the Emotiv EPOC headset with Samsung mobile phone. The scope of this project is limited to certain applications for the smart phone such as smile at the photo in the user’s contact address and dial up. When the phone flashes a selection of photos of contacts from the address book, the user uses his facial expression to smile at those photos and dial up to the person that he/she wishes to call. The signals from the EEG headset are transmitted wirelessly to smart phone which natively runs a lightweight classifier to discriminate neural signals from noises. When a person’s contact-photo matches with facial expression signals, his/her phone number is automatically dialed. Neurophone breaks new ground as a brain-mobile phone interface for ubiquitous pervasive computing. A neurophone is expected to be developed. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://eprints.utem.edu.my/16284/1/Neurophone%20Brain%20Mobile%20Phone%20Using%20A%20Wireless%20Eeg%20Headset%2024%20Pages.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
