Andreas Riener, Andreas Sippl,
"Head Pose Based Attention Recognition on Large Public Display"
, in L. Miguel Encarnacao, in IEEE Computer Graphics and Applications, IEEE Computer Society, 10662 Los Vaqueros Circle, Los Alamitos, CA 90720-1264 USA, 2-2013, ISSN: 0272-1716
Original Titel:
Head Pose Based Attention Recognition on Large Public Display
Sprache des Titels:
Englisch
Original Kurzfassung:
Estimating the attention to regions of large public displays is a
problem that has been present since their very advent. In
contrast to traditional screen interaction with a web browser, no
clickstream can be calculated for such displays. With means
to estimate where the users look at, this issue could be partly
overcome. In this work we evaluate di?erent aspects (head
movement, individual persons, locations, amount
of training
data) and their impact on the recognition accuracy of the viewing
direction based on head pose only. Statistic evaluation revealed,
for example, that (i) free head movement in yaw and pitch
directions has insignificant influence on the recognition
accuracy as compared to limited movement in vertical/horizontal
direction only, (ii) high differences of up to 16% in the
accuracy suggest that such a system should be trained per person
to achieve optimum recognition performances, and (iii)
calibration on multiple positions does not enhance recognition
rate significantly as compared to training on only a single spot.
Sprache der Kurzfassung:
Englisch
Journal:
IEEE Computer Graphics and Applications
Veröffentlicher:
IEEE Computer Society
Verlagsanschrift:
10662 Los Vaqueros Circle, Los Alamitos, CA 90720-1264 USA
Forschungs-