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

doi:10.1109/ICALT.2011.206

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 proceeding › Conference contribution

7 Scopus citations

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 language	English (US)
Title of host publication	Proceedings of the 2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011
Pages	654-655
Number of pages	2
DOIs	https://doi.org/10.1109/ICALT.2011.206
State	Published - 2011
Event	2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011 - Athens, GA, United States Duration: Jul 6 2011 → Jul 8 2011

Publication series

Name	Proceedings of the 2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011

Other

Other	2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011
Country/Territory	United States
City	Athens, GA
Period	7/6/11 → 7/8/11

Keywords

Affective state
Empathetic systems
Multimodal
Physiological activity
Sensors
Student affect inference

ASJC Scopus subject areas

Software
Education

Access to Document

10.1109/ICALT.2011.206

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

Research output: Chapter in Book/Report/Conference proceeding › Conference 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, Proceedings of the 2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011, 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. (Proceedings of the 2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011). doi: 10.1109/ICALT.2011.206

Gonzalez-Sanchez, Javier ; Christopherson, Robert M. ; Chavez-Echeagaray, Maria Elena et al. / 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 (Proceedings of the 2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011).

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title = "How to do multimodal detection of affective states?",

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.",

keywords = "Affective state, Empathetic systems, Multimodal, Physiological activity, Sensors, Student affect inference",

author = "Javier Gonzalez-Sanchez and Christopherson, {Robert M.} and Chavez-Echeagaray, {Maria Elena} and Gibson, {David C.} and Robert Atkinson and Winslow Burleson",

note = "Copyright: Copyright 2011 Elsevier B.V., All rights reserved.; 2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011 ; Conference date: 06-07-2011 Through 08-07-2011",

year = "2011",

doi = "10.1109/ICALT.2011.206",

language = "English (US)",

isbn = "9780769543468",

series = "Proceedings of the 2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011",

pages = "654--655",

booktitle = "Proceedings of the 2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011",