Computo Afectivo

Computo Afectivo

Universidad Panamericana.
Dia del Programador 2019.

B546a9b97d993392e4b22b74b99b91fe?s=128

Javier Gonzalez

September 13, 2019
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  1. Cómputo Afectivo: Máquinas Descifrando Emociones

  2. Dr. Javier Gonzalez-Sanchez Arizona State University | Universidad Panamericana jgonzalezs@up.edu.mx

    | javiergs@asu.edu www.javiergs.com @mscjaviergs
  3. 3 Cómputo Afectivo ? Afecto: Emociones Sentimientos Computadora Inteligencia

  4. Afecto Incluye: Sentimientos, emociones, estados de ánimo Your Date Here

    Your Footer Here 4
  5. 5 Inteligencia vs Afecto ?

  6. El Afecto (Emociones y Sentimientos) Controla nuestras decisiones racionales 6

  7. 7 Decisiones racionales ?

  8. Historia

  9. 10 Agenda Fuentes de Información Proceso 1. Detección Cerebro Gestos

    Ojos Otros 2. Integración 3. Reacción
  10. 1. Detección 11

  11. 12 Sensores, Percepción e Integración 01

  12. 1.1 Tu Cerebro te Delata Ondas cerebrales Your Date Here

    Your Footer Here 13
  13. 14 Tu Cerebro te delata 01

  14. 15 Tu Cerebro te delata 01 $ 799.00

  15. 16 Tu Cerebro te delata 01

  16. Tu Cerebro te delata 01 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
  17. 18 Tu Cerebro te delata 01 14 canales 128 lecturas

    por segundo 1,792 valores por segundo 107,520 valores por minuto 6,451,200 valores por hora
  18. 19 Tu Cerebro te delata 01 https://askabiologist.asu.edu/brain-regions

  19. Tu Cerebro te delata 01 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. 21 Tu Cerebro te delata 01 5 reportes por segundo

    5 estados afectivos 25 valores por segundo 1,500 valores por minuto 90,000 valores por hora
  21. 22 Demo 01

  22. * Neural Networks * Random Forest Your Date Here Your

    Footer Here 23
  23. 1.2 Un mundo te observa Gestos Your Date Here Your

    Footer Here 24
  24. 25 Un mundo te Observa 01 (Ekman and Friesen 1978)

    – Facial Action Coding System, 46 actions (plus head movements). 19 Lip Corner Depressor 26 Jaw Drop 27 Mouth Stretch
  25. Un mundo te Observa 01

  26. Un mundo te Observa 01 Timestamp Agreement Concentrating Disagreement Interested

    Thinking Unsure 101116112838516 0.001836032 0.999917 1.79E-04 0.16485406 0.57114255 0.04595062 101116112838578 0.001447654 0.9999516 1.29E-04 0.16310683 0.5958921 0.042706452 101116112838672 5.97E-04 0 1.5E-04 0.44996294 0.45527613 0.00789697 101116112838766 2.46E-04 0 1.75E-04 0.77445686 0.32144752 0.001418217 101116112838860 1.01E-04 0 2.04E-04 0.93511915 0.21167138 2.53E-04 101116112838953 4.18E-05 0 2.38E-04 0.983739 0.13208677 4.52E-05 101116112839016 1.72E-05 0 2.78E-04 0.9960774 0.07941038 8.07E-06 101116112839110 7.1E-06 0 3.24E-04 0.99906266 0.046613157 1.44E-06 101116112839156 2.92E-06 0 3.77E-04 0.99977654 0.026964737 2.57E-07 101116112839250 1.21E-06 0 4.4E-04 0.9999467 0.015464196 4.58E-08 101116112839391 4.97E-07 0 5.12E-04 0.9999873 0.008824189 8.18E-09 101116112839438 2.05E-07 0 5.97E-04 0.999997 0.005020725 1.46E-09 101116112839547 8.43E-08 0 6.96E-04 0.9999993 0.002851939 2.6E-10 101116112839578 3.47E-08 0 8.11E-04 0.9999999 0.001618473 4.64E-11 101116112839688 1.43E-08 0 9.45E-04 0.99999994 9.18E-04 8.29E-12 101116112839781 5.9E-09 0 0.001101404 1 5.21E-04 1.48E-12 101116112839828 2.43E-09 0 0.001283521 1 2.95E-04 2.64E-13
  27. 28 Un mundo te Observa 01 30 cuadros por segundo

    10 inferencias por segundo 600 valores por minuto 36,000 valores por hora
  28. 29 Demo 01

  29. * Support Vector Machine 30

  30. 1.3 Rastreo de Ojos ¿Qué estas viendo? Your Date Here

    Your Footer Here 31
  31. 32 ¿Qué estas viendo? 01 $ 199.00 $ 9,999.00

  32. ¿Qué estas viendo? 01 Timestamp GPX GPY Pupil Left Validity

    L Pupil Right Validity R Fixation Event AOI 101124162405582 636 199 2.759313 0 2.88406 0 48 Content 101124162405599 641 207 2.684893 0 2.855817 0 48 Content 101124162405615 659 211 2.624458 0 2.903861 0 48 Content 101124162405632 644 201 2.636186 0 2.916132 0 48 Content 101124162405649 644 213 2.690685 0 2.831013 0 48 Content 101124162405666 628 194 2.651784 0 2.869714 0 48 Content 101124162405682 614 177 2.829281 0 2.899828 0 48 Content 101124162405699 701 249 2.780344 0 2.907665 0 49 Content 101124162405716 906 341 2.853761 0 2.916398 0 49 Content 101124162405732 947 398 2.829427 0 2.889944 0 49 Content 101124162405749 941 400 2.826602 0 2.881179 0 49 Content 101124162405766 938 403 2.78699 0 2.87948 0 49 KeyPress Content 101124162405782 937 411 2.803387 0 2.821803 0 49 Content 101124162405799 934 397 2.819166 0 2.871547 0 49 Content 101124162405816 941 407 2.811687 0 2.817927 0 49 Content 101124162405832 946 405 2.857419 0 2.857427 0 49 Content 101124162405849 0 0 -1 4 -1 4 49 Content
  33. 34 ¿Qué estas viendo? 01 30 o 60 cuadros por

    segundo 30 o 60 inferencias por segundo 1,800 o 3,600 valores por minuto 108,000 o 216, 000 valores por hora
  34. 35 Demo 01

  35. * Simplemente Geometría 36

  36. 1.4 Fisiología y más Your Date Here Your Footer Here

    37
  37. 2. Integración 38

  38. Sparse Learning 02 timestamp fixationIndex gazePointX gazePointY mappedFixationPoin tX mappedFixationPoin

    tY fixationDuration Short Term Excitement Long Term Excitement Engagement/Boredom Meditation Frustration Conductance agreement concentrating 4135755652 0.436697 0.521059 0.550011 0.335825 0.498908 0.40169062 8 4135755659 213 573 408 570 408 216 4135755668 0.436697 0.521059 0.550011 0.335825 0.498908 4135755676 213 566 412 570 408 216 4135755692 213 565 404 570 408 216 4135755709 213 567 404 570 408 216 4135755714 4135755726 213 568 411 570 408 216 4135755742 213 568 409 570 408 216 4135755759 213 563 411 570 408 216 4135755761 4135755776 213 574 413 570 408 216 4135755792 213 554 402 570 408 216 4135755809 214 603 409 696 405 216 4135755824 4135755826 214 701 407 696 405 216 4135755842 214 697 403 696 405 216 4135755859 214 693 401 696 405 216 4135755876 214 700 402 696 405 216 4135755892 214 701 411 696 405 216 4135755909 214 686 398 696 405 216 4135755918 4135755926 214 694 399 696 405 216 4135755942 214 694 407 696 405 216 4135755959 214 698 404 696 405 216 4135755964 4135756027 0.436697 0.521059 0.550011 0.335825 0.498908 1 1
  39. State Machine 02 timestamp fixationIndex gazePointX gazePointY mappedFixationPoin tX mappedFixationPoin

    tY fixationDuration Short Term Excitement Long Term Excitement Engagement/Boredom Meditation Frustration Conductance agreement concentrati ng 4135755652 213 574 414 570 408 216 0.436697 0.521059 0.550011 0.335825 0.498908 0.401690628 1 1 4135755659 213 573 408 570 408 216 0.436697 0.521059 0.550011 0.335825 0.498908 0.401690628 1 1 4135755668 213 573 408 570 408 216 0.436697 0.521059 0.550011 0.335825 0.498908 0.401690628 1 1 4135755676 213 566 412 570 408 216 0.436697 0.521059 0.550011 0.335825 0.498908 0.401690628 1 1 4135755692 213 565 404 570 408 216 0.436697 0.521059 0.550011 0.335825 0.498908 0.401690628 1 1 4135755709 213 567 404 570 408 216 0.436697 0.521059 0.550011 0.335825 0.498908 0.401690628 1 1 4135755714 213 567 404 570 408 216 0.436697 0.521059 0.550011 0.335825 0.498908 0.401690628 1 1 4135755726 213 568 411 570 408 216 0.436697 0.521059 0.550011 0.335825 0.498908 0.401690628 1 1 4135755742 213 568 409 570 408 216 0.436697 0.521059 0.550011 0.335825 0.498908 0.401690628 1 1 4135755759 213 563 411 570 408 216 0.436697 0.521059 0.550011 0.335825 0.498908 0.401690628 1 1 4135755761 213 563 411 570 408 216 0.436697 0.521059 0.550011 0.335825 0.498908 0.401690628 1 1 4135755776 213 574 413 570 408 216 0.436697 0.521059 0.550011 0.335825 0.498908 0.401690628 1 1 4135755792 213 554 402 570 408 216 0.436697 0.521059 0.550011 0.335825 0.498908 0.401690628 1 1 4135755809 214 603 409 696 405 216 0.436697 0.521059 0.550011 0.335825 0.498908 0.401690628 1 1 4135756027 215 728 406 804 387 183 0.436697 0.521059 0.550011 0.335825 0.498908 0.401690628 1 1
  40. 41 Placer, alerta y dominio 02

  41. 42 Demo 02 BCI and Gaze Points engagement

  42. 43 Demo 02 BCI and Gaze Points frustration

  43. 44 Demo 02 BCI and Gaze Points engagement

  44. 45 Demo 02 BCI and Gaze Points frustration

  45. 46 Demo 02 BCI and Gaze Points

  46. 3. Reacción 47

  47. 48 Demo 03 Emotion Adaptation | Games

  48. 49 Demo 03 Emotion Adaptation | Games

  49. 50 Demo 03

  50. 51 Objetivo 03

  51. 52 03 https://alfin2100.blogspot.com/2012/05/fight-to-control-human-future-round-i.html

  52. 53 Trabajo Futuro 03 https://alfin2100.blogspot.com/2012/05/fight-to-control-human-future-round-i.html

  53. Dr. Javier Gonzalez-Sanchez Universidad Panamericana | Arizona State University jgonzalezs@up.edu.mx

    | javiergs@asu.edu www.javiergs.com @mscjaviergs