Mpc Presentation

698 views
627 views

Published on

Published in: Technology, Business
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
698
On SlideShare
0
From Embeds
0
Number of Embeds
4
Actions
Shares
0
Downloads
2
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Mpc Presentation

  1. 1. Attention, please! Exploring the sensory cognition through EEG signals<br />Multimedia Perception and Cognition Assignment <br />Teacher: PhD. StefaniaSerafin Students: NagendraBohora<br /> Giuseppe Burdo<br /> Diana Irina Ignat<br />BogiNiclasen<br /> Ro Sonne<br />
  2. 2. Agenda<br />Introduction<br />Test setup<br />Results<br />Discussion<br />Conclusion<br />
  3. 3. Introduction<br /><ul><li>EEG/Brain Computer Interface
  4. 4. Achieve robust Signals by Different Stimuli
  5. 5. Recognizing Stimuli generates most Relaxed
  6. 6. Relaxation ∞ Alpha value
  7. 7. GI of Bioexplorer, numerical data on Excel
  8. 8. PET EEG (4 electrodes)</li></li></ul><li>Test setup<br />Test condition <br />Controlled environment (without noise or distractions)<br />Electrodes placement (Cz , Pz, A1, A2)<br />People without impairments<br />
  9. 9. Test setup<br />Test conduction<br />Cognitional: blinking, walk, smile, face muscles<br />Sensory: <br />- visual (black and white flickering, colours)<br />- auditory (50 , 150, 1000, 10000 Hz and non continuous)<br />Ten seconds recording<br />Next tests: to involve other sensory channels and try to combine more senses, try to change the electrodes placement for motor imagery<br />
  10. 10. Test Results<br />
  11. 11. Discussion<br />Findings so far<br /> Indicate possible user interface through EEG.<br />We have to investigate positioning of sensors even more.<br />In order to find the right peak of energy for a specific stimuli.<br />Alpha values are low, why?<br />Maybe wrong placement of sensors.<br />The test settings can be stressful.<br />Need of a training algorithm. <br />
  12. 12. Discussion<br />Attention<br />In what degree do we use it in our project ?<br />Attention Training (AT)<br />Attention State training (AST). <br />Integrative Body-Mind Training (IBMT).<br />Meditation<br />Attention Restoration Theory (Kaplan).<br />Nature exposure to restore attention efficiency.<br />What would be the best method of testing alpha values?<br />Non intrusive procedure, let the user try the product. <br />Quantitative data, values from EEG monitoring system.<br />Qualitative data collected after trial, conduct interview. <br />
  13. 13. Conclusion<br />Where to go from here?<br />Find one specific stimuli that we will use as parameter.<br />Examine if there should only be stimuli or also tasks in order to reach an Alpha state. <br />Ex. via. Attention Training .<br />Explore if there are other theories than Attention State training (AST) theory, in order to reach an alpha state.<br />More testing in order to find the most optimal placement for sensors.<br />How to test.<br />Users that use application versus non users. <br />

×