Abstract-Band - Fakultät für Informatik, TU Wien - Technische ...

Bereich optischer Sensorik und Lichtquellen zusammen. Danach wird ein
Überblick über die zur Verfügung stehenden Multitouch-Technologien
geschaffen. Kamera-basierte Technologien, die für den Eigenbau und zur
Realisierung von großformatigen Multitouch-Displays geeignet sind, liegen
dabei im Fokus. Weiters werden verschiedenste Software-Komponenten
beschrieben, die zur Umsetzung von Multitouch-Anwendungen eingesetzt
werden können. Daraufhin wird das implementierte Hardwaresetup, sowie
die verwendete und entwickelte Software, vorgestellt.
Thomas Hahn
Event-Driven 3D Vision for Human Activity Analysis in Context of Dance and
Fitness Training of Elderly People
Studium: Masterstudium Medieninformatik
Betreuer: Privatdoz. Dr. Hannes Kaufmann
Over the last years many implementations concerning the recognition of
human motion have been developed. Systems that are designed for elderly
people are becoming more important, especially in the physical training
application area. In this thesis a system for recognition of human motion in
the area of dance and fitness training for elderly people is introduced. This
module within the EU project Silvergame is thereby intended to help elderly
people to keep their level of health as well as to gain a higher fitness level so
that they can stay healthy to an older age. With the system the users can then
be encouraged to move more by performing the dance which they see on
their home TV screen. In doing so such a dance consists of different human
activities which the system recognizes. Furthermore, it also provides some
sort of feedback via the given output device. As the input device, a novel
event-driven 3D vision sensor, developed at the AIT Austrian Institute of
Technology is used in this approach. What is special in this case is that only
data is transferred if an intensity change in the field of view is detected.
Therefore, less data then with ordinary video systems is generated as the
information is communicated not frame-based but pixel wise. Through a
detailed research of the literature about the up-to-date classification
methods, the most promising technique and features for the motion
detection system were chosen. This thesis thereby shows the performance of
the designed application and points out the opportunity for further
employments. Though it was significant how the chosen classification
method can be used for the obtained features from the received data.
Additionally first performance measurements were done. To obtain
representative experimentation results a cross validation was applied and
different settings were used to compare the results. The best results thereby
reached an average correct recognition rate of around 96%.
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