[visionlist] Open Position: PhD Studentship "Eye-based Context-Awareness"

Andreas Bulling andreas.bulling at acm.org
Tue May 18 19:38:05 GMT 2010


PhD Studentship "Eye-based Context-Awareness"
Lancaster University – Computing Department

Closing date: 20 June 2010

The Embedded Interactive Systems (EIS) research group in the Lancaster
University Computing Department invites applications for a fully funded 3-year
PhD studentship on eye-based context-awareness.

Context-awareness has emerged as a key area of research in ubiquitous
computing and human-computer interaction (HCI). A promising new source of
context information is in the movements of the eyes. The movement patterns our
eyes perform as we carry out different activities reveal a lot about the
activities themselves. In a similar manner, location or a particular
environment may influence our eye movements. Because we use our eyes in
almost everything that we do, eye movement analysis has the potential to
provide useful information for a variety of context recognition problems.

The proposed PhD project will study and develop pattern recognition methods
and machine learning techniques for context inference based on eye movement
analysis. Potential applications are in activity and health monitoring,
location-awareness, assisted living, and attentive user interfaces. The
research will be experimental, using portable eye-tracking equipment and
wearable sensor systems, and will involve user studies and data collection in
daily life settings. In addition to experimental skills, the work will require
to develop a thorough understanding of pattern recognition and machine
learning techniques suitable for inferring various aspects of context from
eye movements. 

The research directions of particular interest include but are not limited to:

    * Pattern recognition methods and eye movement features for modelling
       of visual behaviour

    * Machine learning techniques for context inference from eye movements

    * Context inference from simultaneous monitoring of eye and body
       movements in daily life settings

Lancaster's Computing Department offers a highly collegiate and stimulating
environment for doctoral research training. The successful candidate will join
a research group that is recognized as internationally leading. The candidate
will be expected to contribute to the strong profile of the group by
participating in the preparation and publication of research results at the
level of international excellence.

We invite applications from enthusiastic individuals, who are able to work
independently and have an excellent first degree in Computer Science or a
related field relevant to the proposed research, and very good knowledge of
machine learning, pattern recognition, or computer vision. The studentship is
not restricted by nationality. Interested applicants are advised to consult
previous work on eye-based activity recognition [1,2]. Applicants are also
strongly encouraged to initiate contact with Prof. Hans Gellersen prior to
their application by providing a statement of their research interests and a
summary of qualifications.

You can apply online at: 
http://www.postgraduate.lancs.ac.uk/Pages/default.aspx. The closing date for
application complete with supporting documentation (academic transcripts,
references, CV, and short research proposal) is 20 June 2010.

[1] A. Bulling, J. Ward, H. Gellersen, G. Tröster (2010) Eye Movement Analysis 
for Activity Recognition Using Electrooculography, IEEE Transactions on 
Pattern Analysis and Machine Intelligence, March 2010 (in press)
http://dx.doi.org/10.1109/TPAMI.2010.86

[2] A. Bulling, J. Ward, H. Gellersen, G. Tröster (2008) Robust Recognition of 
Reading Activity in Transit Using Wearable Electrooculography, Proc. Pervasive 
2008: pages 19-37.
http://dx.doi.org/10.1007/978-3-540-79576-6_2

Contact information:

Prof. Hans Gellersen
Embedded Interactive Systems Group
Computing Department, Lancaster University
hwg at comp.lancs.ac.uk



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