How to do multimodal detection of affective states?

Javier Gonzalez-Sanchez, Robert M. Christopherson, Maria Elena Chavez-Echeagaray, David C. Gibson, Robert Atkinson, Winslow Burleson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The human-element is crucial for designing and implementing interactive intelligent systems, and therefore on instructional design. This tutorial provides a description and hands-on demonstration for detection of affective states and a description of devices, methodologies and tools necessary for automatic detection of affective states. Automatic detection of affective states requires that the computer sense information that is complex and diverse, it can range from brain-waves signals, and biofeedback readings to face-based and gesture emotion recognition to posture and pressure sensing. Obtaining, processing and understanding that information, to create systems that improve learning, requires the use of several sensing devices (and their perceiving algorithms) and the application of software tools.

Original languageEnglish (US)
Title of host publicationProceedings of the 2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011
Pages654-655
Number of pages2
DOIs
StatePublished - 2011
Event2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011 - Athens, GA, United States
Duration: Jul 6 2011Jul 8 2011

Other

Other2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011
CountryUnited States
CityAthens, GA
Period7/6/117/8/11

Fingerprint

Biofeedback
Gesture recognition
Intelligent systems
Brain
Demonstrations
Processing
brain
emotion
methodology
learning
software

Keywords

  • Affective state
  • Empathetic systems
  • Multimodal
  • Physiological activity
  • Sensors
  • Student affect inference

ASJC Scopus subject areas

  • Software
  • Education

Cite this

Gonzalez-Sanchez, J., Christopherson, R. M., Chavez-Echeagaray, M. E., Gibson, D. C., Atkinson, R., & Burleson, W. (2011). How to do multimodal detection of affective states? In Proceedings of the 2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011 (pp. 654-655). [5992431] https://doi.org/10.1109/ICALT.2011.206

How to do multimodal detection of affective states? / Gonzalez-Sanchez, Javier; Christopherson, Robert M.; Chavez-Echeagaray, Maria Elena; Gibson, David C.; Atkinson, Robert; Burleson, Winslow.

Proceedings of the 2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011. 2011. p. 654-655 5992431.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gonzalez-Sanchez, J, Christopherson, RM, Chavez-Echeagaray, ME, Gibson, DC, Atkinson, R & Burleson, W 2011, How to do multimodal detection of affective states? in Proceedings of the 2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011., 5992431, pp. 654-655, 2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011, Athens, GA, United States, 7/6/11. https://doi.org/10.1109/ICALT.2011.206
Gonzalez-Sanchez J, Christopherson RM, Chavez-Echeagaray ME, Gibson DC, Atkinson R, Burleson W. How to do multimodal detection of affective states? In Proceedings of the 2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011. 2011. p. 654-655. 5992431 https://doi.org/10.1109/ICALT.2011.206
Gonzalez-Sanchez, Javier ; Christopherson, Robert M. ; Chavez-Echeagaray, Maria Elena ; Gibson, David C. ; Atkinson, Robert ; Burleson, Winslow. / How to do multimodal detection of affective states?. Proceedings of the 2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011. 2011. pp. 654-655
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