Abstract: Weblogs are resource of social structure to discover and track the various type of information written by blogger. In this paper, we proposed to use mining weblogs technique for identifying the trends of influenza where blogger had disseminated their opinion for the anomaly disease. In order to identify the trends, web crawler is applied to perform a search and generated a list of visited links based on a set of influenza keywords. This information is used to implement the analytics report system for monitoring and analyzing the pattern and trends of influenza (H1N1). Statistical and graphical analysis reports are generated. Both types of the report have shown satisfactory reports that reflect the awareness of Malaysian on the issue of influenza outbreak through blogs.
Abstract: This paper proposes view-point insensitive human
pose recognition system using neural network. Recognition system
consists of silhouette image capturing module, data driven database,
and neural network. The advantages of our system are first, it is
possible to capture multiple view-point silhouette images of 3D human
model automatically. This automatic capture module is helpful to
reduce time consuming task of database construction. Second, we
develop huge feature database to offer view-point insensitivity at pose
recognition. Third, we use neural network to recognize human pose
from multiple-view because every pose from each model have similar
feature patterns, even though each model has different appearance and
view-point. To construct database, we need to create 3D human model
using 3D manipulate tools. Contour shape is used to convert silhouette
image to feature vector of 12 degree. This extraction task is processed
semi-automatically, which benefits in that capturing images and
converting to silhouette images from the real capturing environment is
needless. We demonstrate the effectiveness of our approach with
experiments on virtual environment.
Abstract: Interactive public displays give access as an
innovative media to promote enhanced communication between
people and information. However, digital public displays are subject
to a few constraints, such as content presentation. Content
presentation needs to be developed to be more interesting to attract
people’s attention and motivate people to interact with the display. In
this paper, we proposed idea to implement contents with interaction
elements for vision-based digital public display. Vision-based
techniques are applied as a sensor to detect passers-by and theme
contents are suggested to attract their attention for encouraging them
to interact with the announcement content. Virtual object, gesture
detection and projection installation are applied for attracting
attention from passers-by. Preliminary study showed positive
feedback of interactive content designing towards the public display.
This new trend would be a valuable innovation as delivery of
announcement content and information communication through this
media is proven to be more engaging.