Detection and utilization of emotional state for disabled users

Yehya Mohamad; Dirk T. Hettich; Elaina Bolinger; Niels Birbaumer; Wolfgang Rosenstiel; Martin Bogdan; Tamara Matuz

doi:10.1007/978-3-319-08596-8_39

Detection and utilization of emotional state for disabled users

Yehya Mohamad, Dirk T. Hettich, Elaina Bolinger, Niels Birbaumer, Wolfgang Rosenstiel, Martin Bogdan, Tamara Matuz

Istituto di Neuroriabilitazione Motoria San Camillo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we present an experimental approach to design systems sensitive to emotion. We describe a system for the detection of emotional states based on physiological signals and an application use case utilizing the detected emotional state. The application is an emotion management system to be used for the support in the improvement of life conditions of users suffering from cerebral palsy (CP). The system presented here combines effectively biofeedback sensors and a set of software algorithms to detect the current emotional state of the user and to react to them appropriately.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer Verlag
Pages	248-255
Number of pages	8
Volume	8547 LNCS
Edition	PART 1
ISBN (Print)	9783319085951
DOIs	https://doi.org/10.1007/978-3-319-08596-8_39
Publication status	Published - 2014
Event	14th International Conference on Computers Helping People with Special Needs, ICCHP 2014 - Paris, France Duration: Jul 9 2014 → Jul 11 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	8547 LNCS
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	14th International Conference on Computers Helping People with Special Needs, ICCHP 2014
Country/Territory	France
City	Paris
Period	7/9/14 → 7/11/14

Keywords

Affective Computing
Context
Disabled Person
E-Learning
Emotion
Emotion Management
Machine Learning Algorithm
User Interface
Web-Based

ASJC Scopus subject areas

Computer Science(all)
Theoretical Computer Science

Access to Document

10.1007/978-3-319-08596-8_39

Cite this

Mohamad, Y., Hettich, D. T., Bolinger, E., Birbaumer, N., Rosenstiel, W., Bogdan, M., & Matuz, T. (2014). Detection and utilization of emotional state for disabled users. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 1 ed., Vol. 8547 LNCS, pp. 248-255). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8547 LNCS, No. PART 1). Springer Verlag. https://doi.org/10.1007/978-3-319-08596-8_39

Detection and utilization of emotional state for disabled users. / Mohamad, Yehya; Hettich, Dirk T.; Bolinger, Elaina; Birbaumer, Niels; Rosenstiel, Wolfgang; Bogdan, Martin; Matuz, Tamara.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8547 LNCS PART 1. ed. Springer Verlag, 2014. p. 248-255 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8547 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mohamad, Y, Hettich, DT, Bolinger, E, Birbaumer, N, Rosenstiel, W, Bogdan, M & Matuz, T 2014, Detection and utilization of emotional state for disabled users. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 edn, vol. 8547 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 8547 LNCS, Springer Verlag, pp. 248-255, 14th International Conference on Computers Helping People with Special Needs, ICCHP 2014, Paris, France, 7/9/14. https://doi.org/10.1007/978-3-319-08596-8_39

Mohamad Y, Hettich DT, Bolinger E, Birbaumer N, Rosenstiel W, Bogdan M et al. Detection and utilization of emotional state for disabled users. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 ed. Vol. 8547 LNCS. Springer Verlag. 2014. p. 248-255. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). https://doi.org/10.1007/978-3-319-08596-8_39

Mohamad, Yehya ; Hettich, Dirk T. ; Bolinger, Elaina ; Birbaumer, Niels ; Rosenstiel, Wolfgang ; Bogdan, Martin ; Matuz, Tamara. / Detection and utilization of emotional state for disabled users. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8547 LNCS PART 1. ed. Springer Verlag, 2014. pp. 248-255 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

@inproceedings{f9907f9f77104ebe96e9b99eac739487,

title = "Detection and utilization of emotional state for disabled users",

abstract = "In this paper, we present an experimental approach to design systems sensitive to emotion. We describe a system for the detection of emotional states based on physiological signals and an application use case utilizing the detected emotional state. The application is an emotion management system to be used for the support in the improvement of life conditions of users suffering from cerebral palsy (CP). The system presented here combines effectively biofeedback sensors and a set of software algorithms to detect the current emotional state of the user and to react to them appropriately.",

keywords = "Affective Computing, Context, Disabled Person, E-Learning, Emotion, Emotion Management, Machine Learning Algorithm, User Interface, Web-Based",

author = "Yehya Mohamad and Hettich, {Dirk T.} and Elaina Bolinger and Niels Birbaumer and Wolfgang Rosenstiel and Martin Bogdan and Tamara Matuz",

year = "2014",

doi = "10.1007/978-3-319-08596-8_39",

language = "English",

isbn = "9783319085951",

volume = "8547 LNCS",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

number = "PART 1",

pages = "248--255",

booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

edition = "PART 1",

note = "14th International Conference on Computers Helping People with Special Needs, ICCHP 2014 ; Conference date: 09-07-2014 Through 11-07-2014",

}

TY - GEN

T1 - Detection and utilization of emotional state for disabled users

AU - Mohamad, Yehya

AU - Hettich, Dirk T.

AU - Bolinger, Elaina

AU - Birbaumer, Niels

AU - Rosenstiel, Wolfgang

AU - Bogdan, Martin

AU - Matuz, Tamara

PY - 2014

Y1 - 2014

N2 - In this paper, we present an experimental approach to design systems sensitive to emotion. We describe a system for the detection of emotional states based on physiological signals and an application use case utilizing the detected emotional state. The application is an emotion management system to be used for the support in the improvement of life conditions of users suffering from cerebral palsy (CP). The system presented here combines effectively biofeedback sensors and a set of software algorithms to detect the current emotional state of the user and to react to them appropriately.

AB - In this paper, we present an experimental approach to design systems sensitive to emotion. We describe a system for the detection of emotional states based on physiological signals and an application use case utilizing the detected emotional state. The application is an emotion management system to be used for the support in the improvement of life conditions of users suffering from cerebral palsy (CP). The system presented here combines effectively biofeedback sensors and a set of software algorithms to detect the current emotional state of the user and to react to them appropriately.

KW - Affective Computing

KW - Context

KW - Disabled Person

KW - E-Learning

KW - Emotion

KW - Emotion Management

KW - Machine Learning Algorithm

KW - User Interface

KW - Web-Based

UR - http://www.scopus.com/inward/record.url?scp=84904158457&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84904158457&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-08596-8_39

DO - 10.1007/978-3-319-08596-8_39

M3 - Conference contribution

AN - SCOPUS:84904158457

SN - 9783319085951

VL - 8547 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 248

EP - 255

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

PB - Springer Verlag

T2 - 14th International Conference on Computers Helping People with Special Needs, ICCHP 2014

Y2 - 9 July 2014 through 11 July 2014

ER -

Detection and utilization of emotional state for disabled users

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this