53 research outputs found
Classifying Indian Classical Dances By Motion Posture Patterns
Dance is a classic form of human motion which is usually performed as a
reaction of expression to music. The Indian classical dances, for instance, require
multiple complicated movements that relates to body motion postures and hand gestures
with high similarities. Past studies showed interests using various methods to classify
dances. The most common method used is the Hidden Markov Models (HMM), apart
from using the correlation matrix method and hierarchical cluster analysis. Nevertheless,
less effort has been placed in analysing the Indian dance by using the data mining
approach. Therefore, the objectives in this work are to (i) distinguish different types of
Indian classical dances, (ii) classify the type of dance based on motion posture patterns
and (iii) determine the effects of attributes on the classification accuracy. This study
involves five types of Indian classical dances (Kathak, Bharatanatyam, Kuchipudi,
Manipuri and Odissi) motion postures. The data mining approaches were used to
classify the motion posture patterns by type of dances. A total of 15 dance videos were
collected from the public available domain for body joints tracking processes using the
Kinovea software. Data mining analysis was performed in three stages: data pre�processing, data classification and knowledge discovery using the WEKA software.
RandomForest algorithm returned the highest classification accuracy (99.2616%). On
attribute configuration, y-coordinates of left wrist (LW(y)) was identified as the most
significant attribute to differentiate the Indian classical dance classes
Standard Interfaces and Protocols at Sensor Network and Cloud Level Definition
In this paper we presented full design of the system for monitoring forest which consists of cloud platform, sensor networks and mobile (drone) technologies for data collection and cameras. We first present the advanced design and structural model of an advanced system for monitoring of forest area. This model integrate sensor networks and mobile (drone) technologies for data collection and acquisition of those data at existing Crisis Management Information Systems (CMIS). Then we demonstrate the possibility to map different technological solutions and the main result was the definition of the set of standard interfaces and protocols for network interoperability
End-userApplication for Early Forest Fire Detection and Prevention
n this paper, we describe a Web application that has been designed and implemented by Fulda University of Applied Sciences in the context of the ASPires project. The application extends the functionality available to Crisis Management Centers (CMC). Actual readings from sensors installed in the test areas, for example national parks, are made available to CMC personnel, as well as pictures from cameras that are either mounted on stationary observation towers or taken by Unmanned Aerial Vehicles (UAVs) in the area of an actual of supposed forest fire. Data are transmitted to the Aspires cloud and delivered swiftly to the Web application via an open interface. Furthermore, fire alarms raised by novel detection algorithms are forwarded automatically to the application. This clearly improves the potential for the early detection of forest fires in rural areas
3D Information Technologies in Cultural Heritage Preservation and Popularisation
This Special Issue of the journal Applied Sciences presents recent advances and developments in the use of digital 3D technologies to protect and preserve cultural heritage. While most of the articles focus on aspects of 3D scanning, modeling, and presenting in VR of cultural heritage objects from buildings to small artifacts and clothing, part of the issue is devoted to 3D sound utilization in the cultural heritage field
Computer-Assisted Interactive Documentary and Performance Arts in Illimitable Space
This major component of the research described in this thesis is 3D computer
graphics, specifically the realistic physics-based softbody simulation and
haptic responsive environments. Minor components include advanced
human-computer interaction environments, non-linear documentary storytelling,
and theatre performance. The journey of this research has been unusual because
it requires a researcher with solid knowledge and background in multiple
disciplines; who also has to be creative and sensitive in order to combine the
possible areas into a new research direction. [...] It focuses on the advanced
computer graphics and emerges from experimental cinematic works and theatrical
artistic practices. Some development content and installations are completed to
prove and evaluate the described concepts and to be convincing. [...] To
summarize, the resulting work involves not only artistic creativity, but
solving or combining technological hurdles in motion tracking, pattern
recognition, force feedback control, etc., with the available documentary
footage on film, video, or images, and text via a variety of devices [....] and
programming, and installing all the needed interfaces such that it all works in
real-time. Thus, the contribution to the knowledge advancement is in solving
these interfacing problems and the real-time aspects of the interaction that
have uses in film industry, fashion industry, new age interactive theatre,
computer games, and web-based technologies and services for entertainment and
education. It also includes building up on this experience to integrate Kinect-
and haptic-based interaction, artistic scenery rendering, and other forms of
control. This research work connects all the research disciplines, seemingly
disjoint fields of research, such as computer graphics, documentary film,
interactive media, and theatre performance together.Comment: PhD thesis copy; 272 pages, 83 figures, 6 algorithm
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