Vol.1 No.2 June, 2005
Editorial (pp091-091)
D. Taniar
Research articles:
Gesture Interaction for Small Handheld
Devices to Support Multimedia Applications
(pp092-111)
J. Mäntyjärvi,
S. Kallio, P. Korpipää, J. Kela and J. Plomp
Accelerometer-based gesture control is
proposed as a complementary interaction modality for small handheld
devices to enable a variety of multimedia applications. The motivation
for experimenting with gesture interaction is justified by the personal
and public domain prototype applications developed. The challenges
related to developing user-dependent and independent gesture control are
presented. In this article, we experiment with methods for
user-dependent gesture recognition with a low number of training
repetitions, and for feasible user-independent gesture recognition from
a moderately large set of gestures. The user-dependent gesture
recognition performance of the continuous Hidden Markov Model (HMM) is
better when compared to discrete HMM with three gesture repetitions in a
training set. With continuous HMM, a recognition accuracy level of 95%
is obtained with or without tilt normalization, while for discrete HMM a
best recognition accuracy of 90% is obtained. The user-independent
gesture recognition performance with continuous HMM of 89% is
considerably better compared to tests with discrete HMM, when both are
obtained with cross-validation from 2,520 gestures. An important result
is that the effect of using tilt normalization notably increases the
user-independent gesture recognition performance by 10-15% depending on
the method used. The chosen methods show great potential for
gesture-based interaction in multimedia applications.
From Motion to Emotion: A Wearable System
for the Multimedia Enrichment of A Butoh Dace Performance
(pp112-132)
M.
Barry, J. Gutknecht, I. Kulka, P. Lukowicz and T. Stricker
We present a mobile, multimedia system based on a network
of body worn motion sensors, a wearable computer and a visualization
engine that is used to produce a visual enhancement of Butoh dance
performance. The core of the system is a novel motion classification
scheme that allows us to capture the emotion expressed by the dancer
during the performance and map it onto scripted visual effects. We
describe the artistic concept behind the multimedia enhancement, the
motion classification scheme and the system architecture. In an
experimental evaluation we investigate the usefulness and the robustness
of the wearable computer as well as the classification accuracy of the
motion-sensing system. We also summarize the experiences with using the
system for live performances on stage in several shows.
Human Face Animation
Based on Video Analysis, with Applications to Mobile Entertainment
(pp133-148)
J. S.-S. Tang, A. W.-C. Liew and
H. Yan
In this paper, we present a novel non-uniform rational B-spline (NURBS)
muscle system for the simulation of human facial expressions and talking
animation based on features extracted from video sequences. We construct
the facial muscles based on anatomical knowledge and NURBS models. We
use 43 feature points to represent facial expressions and apply a lip
contour extraction technique to determine lip shapes. Our system is able
to generate many different facial expressions and mouth shapes. The
system has been used in web and mobile phone based digital entertainment
applications.
Efficient Image Indexing and Retrieval
over Mobile Devices
(pp149-160)
S.
So
The multimedia capabilities of mobile
phones are rapidly increasing in recent years. It is now common that
users can send and retrieve images over mobile phones. Image searching
and retrieval is fundamentally becoming an important operation and yet
there isn¡¯t any efficient and effective way to do this over mobile
phones. The situation is particularly more acute when users attempt to
access a content provider with a large collection of image contents.
Any aimless browsing of the images will translate into air-time costs.
Therefore, an efficient and effective mechanism to retrieve images over
mobile phones must be sought.
In this paper, we attempt to
advance this area of mobile multimedia by providing a data model as well
as a query model for searching images efficiently and effectively. The
data model is a semantically rich structure for representing any salient
features in the image contents. XML Schema is used to model the data
structure and a number of examples are illustrated in this paper. The
query model works intimately with the data model and it goes beyond
simple Boolean type queries. The query model supports ranked queries
from the repository of image contents. The most precisely matched images
will be delivered first. Users can browse the ranked images through the
logical expression of the query over mobile phones. The system
architecture to support the indexing and retrieval of images in our data
and query model over mobile devices is described. As the popularity of
micro-browsers on mobile phones capable of retrieving XTHML-MP pages
over WAP gateways increase, it provides an ideal opportunity for us. We
can bridge the wireless world with the Internet world seamlessly. A
simulation of the concepts using XTHML-MP with WAP 2.0 is provided.
Visualizing Pain Data for Wheelchair
Users: A Ubiquitous Approach
(pp161-177)
T. Serif, G.
Ghinea and A.O. Frank
We describe a wireless enabled
solution for the vizualisation of pain data. Our approach uses pain
drawings to record spatial location and type of pain and enables data
collection with appropriate time stamping, thus providing a means for
the seldom-recorded (but often attested) time-varying nature of pain,
with consequential impact on monitoring the effectiveness of patient
treatment regimes. Moreover, since the implementation platform of our
solution is that of a Personal Digital Assistant (PDA), data collection
takes place ubiquitously, providing back pain sufferers with mobility
problems (such as wheelchair users) with a convenient means of logging
their pain data and of seamlessly uploading it to a hospital server
using WiFi technology. Stakeholder results show that, notwithstanding
problems related to PDA data input, our approach is generally perceived
to be an easy to use and convenient solution to the challenges of
anywhere/anytime data collection.
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