CSC570 Lecture 04

Applied Affective Computing
BCI
(202504)

Transcript

1. Dr. Javier Gonzalez-Sanchez javiergs@calpoly.edu www.javiergs.info o ffi ce: 14 -227 CSC 570 Current Topics in Computer Science Applied Affective Computing Lecture 04. Brain-Computer
2. Homework
3. Reading | BCI Application 3
4. Previously …
5. Read 5
6. Work f low 6
7. Brain Computer Interface
8. Let Us Get Some Data 8
9. Signal • These sign a ls a re in the microvolt (μV) r a nge a nd a re very we a k, so they must be a mpli f ied a nd f iltered before further processing. • Fe a tures a re interpreted by m a chine le a rning models (pre-tr a ined a nd propriet a ry) to identify cognitive or emotion a l st a tes, or control sign a ls (e.g., left/right movement, concentr a tion levels). • In e a rly Emotiv, r a w EEG v a lues were represented a s 14-bit unsigned integers r a nging from 0 to 16383, with 4000 often considered “neutr a l resting” b a seline in cert a in con f igur a tions 9
11. Model 11
12. Brain 12 https://askabiologist.asu.edu/brain-regions
14. Emotiv EPOC X 14
15. Emotiv Insight 15
16. Emotiv MN8 16
17. Brain 17 Timestamp AF3 F7 F3 FC5 T7 P7 O1 O2 P8 T8 FC6 F4 F8 AF4 AccX AccY 101116112544901 4542.05 4831.79 4247.18 4690.26 4282.56 4395.38 4591.79 4569.23 4360 4570.77 4297.44 4311.28 4282.56 4367.18 1660 2003 101116112544901 4536.92 4802.05 4243.08 4673.85 4272.31 4393.33 4592.82 4570.26 4354.87 4570.26 4292.31 4309.74 4277.95 4370.77 1658 2002 101116112545010 4533.33 4798.97 4234.87 4669.74 4301.03 4396.92 4592.31 4570.77 4351.28 4561.03 4281.54 4301.54 4271.28 4363.59 1659 2003 101116112545010 4549.23 4839.49 4241.03 4691.28 4333.85 4397.95 4596.41 4567.18 4355.9 4556.41 4286.15 4306.15 4277.95 4369.74 1659 2003 101116112545010 4580 4865.64 4251.79 4710.26 4340 4401.54 4603.59 4572.82 4360 4558.46 4298.97 4324.62 4296.41 4395.9 1657 2004 101116112545010 4597.44 4860 4252.82 4705.64 4350.26 4412.31 4603.59 4577.44 4357.44 4555.9 4295.38 4329.23 4296.41 4414.36 1656 2005 101116112545010 4584.62 4847.69 4246.67 4690.26 4360 4409.23 4597.44 4569.74 4351.79 4549.74 4278.97 4316.92 4272.82 4399.49 1656 2006 101116112545010 4566.15 4842.05 4238.46 4684.1 4322.05 4389.74 4592.82 4566.67 4351.79 4549.74 4274.36 4310.26 4262.05 4370.77 1655 2005 101116112545010 4563.59 4844.62 4231.79 4687.69 4267.69 4387.69 4594.36 4580 4361.03 4556.41 4278.97 4310.77 4274.36 4370.77 1653 2006 101116112545010 4567.18 4847.18 4233.33 4688.72 4285.13 4409.23 4602.05 4589.23 4368.21 4560 4280.51 4310.77 4281.54 4390.26 1655 2004 101116112545010 4562.05 4840.51 4227.18 4673.85 4300 4405.13 4611.28 4601.03 4376.41 4561.54 4280 4303.59 4279.49 4374.87 1652 2000
18. Brain 18 14 channels 128 samples per second 1,792 values por second 107,520 values per minute 6,451,200 values per hour
19. Brain 19 Timestamp Short Term Excitement Long Term Excitement Engagement Meditation Frustration 101116091145065 0.447595 0.54871 0.834476 0.333844 0.536197 101116091145190 0.447595 0.54871 0.834476 0.333844 0.536197 101116091145315 0.447595 0.54871 0.834476 0.333844 0.536197 101116091145440 0.487864 0.546877 0.834146 0.339548 0.54851 101116091145565 0.487864 0.546877 0.834146 0.339548 0.54851 101116091145690 0.487864 0.546877 0.834146 0.339548 0.54851 101116091145815 0.487864 0.546877 0.834146 0.339548 0.54851 101116091145940 0.521663 0.545609 0.839321 0.348321 0.558228 101116091146065 0.521663 0.545609 0.839321 0.348321 0.558228 101116091146190 0.521663 0.545609 0.839321 0.348321 0.558228 101116091146315 0.521663 0.545609 0.839321 0.348321 0.558228 101116091146440 0.509297 0.544131 0.84401 0.358717 0.546771 101116091146565 0.509297 0.544131 0.84401 0.358717 0.546771 101116091146690 0.509297 0.544131 0.84401 0.358717 0.546771 101116091146815 0.509297 0.544131 0.84401 0.358717 0.546771 101116091146941 0.451885 0.541695 0.848087 0.368071 0.533919
20. Brain 20 5 samples per second 5 affective states 25 values per second 1,500 values per minute 90,000 values per hour
21. Emotiv
22. Architecture | Old Bluetooth API for Developers Your App
23. Architecture | New 23 Bluetooth Your App WebSocket (server) WebSocket (client) API for Developers
24. Architecture | ADASLite 24 Bluetooth Your App WebSocket (server) WebSocket (client) API for Developers
25. Emotiv 25
26. Emotiv 26
27. Emotiv 27
28. Emotiv 28
29. Issues https://www.emotiv.com/knowledge-base/connecting-to-service/ 29
30. Emotiv 30
31. Emotiv 31
32. Emotiv 32
33. Emotiv 33
34. Theory vs Reality 34
35. Questions 35
36. CSC 570 Applied Affective Computing Javier Gonzalez-Sanchez, Ph.D. javiergs@calpoly.edu Spring 2025 Copyright. These slides can only be used as study material for the class CSC 570 at Cal Poly. They cannot be distributed or used for another purpose.