Eye Movement Analysis for Activity Recognition Using Electrooculography

In this work, we investigate eye movement analysis as a new sensing modality for activity recognition. Eye movement data were recorded using an electrooculography (EOG) system. We first describe and evaluate algorithms for detecting three eye movement characteristics from EOG signals-saccades, fixat...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 33; H. 4; S. 741 - 753
Hauptverfasser:	Bulling, Andreas, Ward, Jamie A, Gellersen, Hans, Tröster, Gerhard
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Los Alamitos, CA IEEE 01.04.2011 IEEE Computer Society The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Acoustic sensors Adult Algorithms Applied sciences Artificial intelligence Computer science; control theory; systems Computer systems and distributed systems. User interface Data processing. List processing. Character string processing Detection Ear Electrooculography Electrooculography - methods Exact sciences and technology Eye movements Eye Movements - physiology Eyes feature evaluation and selection Female Humans Male Memory organisation. Data processing Middle Aged pattern analysis Pattern recognition Pattern recognition. Digital image processing. Computational geometry Recognition Reproduction signal processing Signal processing algorithms Software Support vector machine classification Support vector machines Ubiquitous computing Visual Perception - physiology Wearable computers Pervasive computing Electrooculography feature evaluation and selection Redundancy Ubiquitous computing Eye movement Specific activity Relevance Dimension reduction Human activity Scene analysis Database Vector support machine Signal processing Pattern analysis Mobile computing
ISSN:	0162-8828, 1939-3539, 1939-3539
Online-Zugang:	Volltext
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