Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
My Brain Is Out of the Loop: A Neuroergonomic Approach of OOTL Phenomenon Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Geometry and Gesture-Based Features from Saccadic Eye-Movement as a Biometric in Radiology

verfasst von : Folami T. Alamudun, Tracy Hammond, Hong-Jun Yoon, Georgia D. Tourassi

Erschienen in: Augmented Cognition. Neurocognition and Machine Learning

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In this study, we present a novel application of sketch gesture recognition on eye-movement for biometric identification and estimating task expertise. The study was performed for the task of mammographic screening with simultaneous viewing of four coordinated breast views as typically done in clinical practice. Eye-tracking data and diagnostic decisions collected for 100 mammographic cases (25 normal, 25 benign, 50 malignant) and 10 readers (three board certified radiologists and seven radiology residents), formed the corpus for this study. Sketch gesture recognition techniques were employed to extract geometric and gesture-based features from saccadic eye-movements. Our results show that saccadic eye-movement, characterized using sketch-based features, result in more accurate models for predicting individual identity and level of expertise than more traditional eye-tracking features.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Interactive Image Segmentation Method of Eye Movement Data and EEG Data
Nächstes Kapitel Assessing Workload with Low Cost Eye Tracking During a Supervisory Control Task
Literatur
1.
2.
Bartley, J., Forsyth, J., Pendse, P., Xin, D., Brown, G., Hagseth, P., Agrawal, A., Goldberg, D.W., Hammond, T.: World of workout: a contextual mobile RPG to encourage long term fitness. In: Proceedings of the 2nd ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health, pp. 60–67. ACM (2013)
3.
Bednarik, R., Kinnunen, T., Mihaila, A., Fränti, P.: Eye-movements as a biometric. In: Kalviainen, H., Parkkinen, J., Kaarna, A. (eds.) SCIA 2005. LNCS, vol. 3540, pp. 780–789. Springer, Heidelberg (2005). doi:10.​1007/​11499145_​79 CrossRef
4.
5.
Chi, M.T., Glaser, R., Farr, M.J.: The Nature of Expertise. Psychology Press, Park Drive (2014)MATH
6.
7.
Corey, P., Hammond, T.: Gladder: combining gesture and geometric sketch recognition. In: Proceedings of the 23rd National Conference on Artificial Intelligence, vol. 3, pp. 1788–1789. AAAI Press (2008)
8.
Deravi, F., Guness, S.P.: Gaze trajectory as a biometric modality. In: BIOSIGNALS, pp. 335–341 (2011)
9.
Dixon, D., Prasad, M., Hammond, T.: iCanDraw: using sketch recognition and corrective feedback to assist a user in drawing human faces. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 897–906. ACM (2010)
10.
Eoff, B.D., Hammond, T.: Who dotted that‘i’?: context free user differentiation through pressure and tilt pen data. In: Proceedings of Graphics Interface 2009, pp. 149–156. Canadian Information Processing Society (2009)
11.
Galdi, C., Nappi, M., Riccio, D., Cantoni, V., Porta, M.: A new gaze analysis based soft-biometric. In: Carrasco-Ochoa, J.A., Martínez-Trinidad, J.F., Rodríguez, J.S., Baja, G.S. (eds.) MCPR 2013. LNCS, vol. 7914, pp. 136–144. Springer, Heidelberg (2013). doi:10.​1007/​978-3-642-38989-4_​14 CrossRef
12.
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The weka data mining software: an update. ACM SIGKDD Explor. Newsl. 11(1), 10–18 (2009)CrossRef
13.
Hammond, T., Gajos, K., Davis, R., Shrobe, H.E.: An agent-based system for capturing and indexing software design meetings. In: Proceedings of the International Workshop on Agents in Design (WAID 2002). Citeseer (2002)
14.
Hammond, T., O’Sullivan, B.: Recognizing freeform hand-sketched constraint network diagrams by combining geometry and context. In: Proceedings of the Eurographics Ireland (2007)
15.
Hammond, T., Prasad, M., Dixon, D.: Art 101: learning to draw through sketch recognition. In: Taylor, R., Boulanger, P., Krüger, A., Olivier, P. (eds.) SG 2010. LNCS, vol. 6133, pp. 277–280. Springer, Heidelberg (2010). doi:10.​1007/​978-3-642-13544-6_​30 CrossRef
16.
Hammond, T.A.: Ladder: A perceptually-based language to simplify sketch recognition user interface development. Ph.D. thesis, Massachusetts Institute of Technology (2007)
17.
Heath, M., Bowyer, K., Kopans, D., Kegelmeyer Jr., P., Moore, R., Chang, K., Munishkumaran, S.: Current status of the digital database for screening mammography. In: Karssemeijer, N., Thijssen, M., Hendriks, J., van Erning, L. (eds.) Digital Mammography, vol. 13, pp. 457–460. Springer, Heidelberg (1998)CrossRef
18.
Holland, C., Komogortsev, O.: Biometric identification via eye movement scanpaths in reading. In: 2011 International Joint Conference on Biometrics (IJCB), pp. 1–8, October 2011
19.
Holmqvist, K., Nyström, M., Andersson, R., Dewhurst, R., Jarodzka, H., Van de Weijer, J.: Eye Tracking: A Comprehensive Guide to Methods and Measures. Oxford University Press, Oxford (2011)
20.
21.
22.
Krupinski, E.A.: Influence of experience on scanning strategies in mammography. Proc. SPIE Med. Imaging 2712, 95–101 (1996). International Society for Optics and PhotonicsCrossRef
23.
Krupinski, E.A., Graham, A.R., Weinstein, R.S.: Characterizing the development of visual search expertise in pathology residents viewing whole slide images. Hum. Pathol. 44(3), 357–364 (2013)CrossRef
24.
25.
26.
27.
28.
29.
Miller, J., Hammond, T.: Wiiolin: a virtual instrument using the wii remote. In: Proceedings of the 2010 Conference on New Interfaces for Musical Expression (NIME), pp. 497–500 (2010)
30.
31.
32.
33.
Paulson, B., Cummings, D., Hammond, T.: Object interaction detection using hand posture cues in an office setting. Int. J. Hum.-Comput. Stud. 69(1), 19–29 (2011)CrossRef
34.
35.
Paulson, B., Rajan, P., Davalos, P., Gutierrez-Osuna, R., Hammond, T.: What!?! no rubine features?: using geometric-based features to produce normalized confidence values for sketch recognition. In: HCC Workshop: Sketch Tools for Diagramming (VL/HCC), pp. 57–63 (2008)
36.
Pramanik, S., Bhattacharjee, D.: Geometric feature based face-sketch recognition. In: 2012 International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME), pp. 409–415, March 2012
37.
American College of Radiology: BI-RADS Committee. Breast imaging reporting and data system. American College of Radiology (1998)
38.
Rajan, P., Hammond, T.: From paper to machine: extracting strokes from images for use in sketch recognition. In: Proceedings of the 5th Eurographics Conference on Sketch-Based Interfaces and Modeling, pp. 41–48. Eurographics Association (2008)
39.
Rayner, K.: Eye movements in reading and information processing: 20 years of research. Psychol. Bull. 124(3), 372 (1998)CrossRef
40.
41.
42.
Smith, R.A., Cokkinides, V., von Eschenbach, A.C., Levin, B., Cohen, C., Runowicz, C.D., Sener, S., Saslow, D., Eyre, H.J.: American cancer society guidelines for the early detection of cancer. CA Cancer J. Clin. 52(1), 8–22 (2002)CrossRef
43.
Taele, P., Peschel, J., Hammond, T.: A sketch interactive approach to computer-assisted biology instruction. In: Proceedings of IUI 2009 Workshop on Sketch Recognition (2009)
44.
45.
Valentine, S., Vides, F., Lucchese, G., Turner, D., Kim, H.H., Li, W., Linsey, J., Hammond, T.: Mechanix: a sketch-based tutoring system for statics courses. In: Proceedings of the 24th Innovative Applications of Artificial Intelligence Conference on Artificial Intelligence (IAAI), pp. 2253–2260. AAAI (2012)
46.
Yoon, H.J., Carmichael, T.R., Tourassi, G.: Gaze as a biometric. In: Proceedings of SPIE, pp. 903707–903707 (2014)
Metadaten
Titel
Geometry and Gesture-Based Features from Saccadic Eye-Movement as a Biometric in Radiology
verfasst von
Folami T. Alamudun
Tracy Hammond
Hong-Jun Yoon
Georgia D. Tourassi
Copyright-Jahr
2017
Buch
Augmented Cognition. Neurocognition and Machine Learning

Print ISBN: 978-3-319-58627-4

Electronic ISBN: 978-3-319-58628-1

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-58628-1_11

Neuer Inhalt

    Bildnachweise