1. Head movements based control of an intelligent wheelchair in an indoor environment E.J. Rechy-Ramirez and H. Hu University of Essex 24 April 2012 Colchester, U.K. 1 Part-financed by the European Regional Development Fund

2. Part-financed by the European Regional Development Fund I. Outline of the task Using Emotiv EEG sensor to develop a head movement based HMI for hands-free control of an electric powered wheelchair. 2

3. Part-financed by the European Regional Development Fund Emotiv sensor: affectiv suite 3

4. Part-financed by the European Regional Development Fund Emotiv sensor: expressiv suite 4

5. Part-financed by the European Regional Development Fund Emotiv sensor: cognitiv suite 5

6. Part-financed by the European Regional Development Fund Emotiv sensor: gyroscope 6

7. Part-financed by the European Regional Development Fund II. Main results 7 Head movements based control mode: algorithm

8. Part-financed by the European Regional Development Fund Head movements based control : graphic interface 8

9. Part-financed by the European Regional Development Fund Experimental Results 9 User A User B

10. Part-financed by the European Regional Development Fund Experimental Results 10

11. Part-financed by the European Regional Development Fund III. Future challenges and the work to be done  As can be seen, the Emotiv sensor could be used for developing applications to assist disabled and elderly people.  Based on Emotiv sensor, we have developed a head movement based control of an intelligent wheelchair in an indoor environment.  We will present our experimental results on facial gestures based control of an intelligent wheelchair in an indoor environment during next project meeting. 11

12. Part-financed by the European Regional Development Fund Thanks Q & A 12