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Min-Hui Foo

dblp:137/3578 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Virtual and augmented reality · 81% Computer animation and physical simulation · 19%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Virtual and augmented reality
mixed reality
0.212013
A Mixed Reality Virtual Clothes Try-On System · IEEE Trans. Multim. 2013
Virtual and augmented reality › avatar
avatar customization
0.012013
A Mixed Reality Virtual Clothes Try-On System · IEEE Trans. Multim. 2013
Computer animation and physical simulation
cloth simulation
0.012013
A Mixed Reality Virtual Clothes Try-On System · IEEE Trans. Multim. 2013

Methods — techniques the papers use, named apart from their topics

user study · 0.2real-time simulation · 0.2
YearPublicationVenuePosition
2013 A Mixed Reality Virtual Clothes Try-On System
abstract
Virtual try-on of clothes has received much attention recently due to its commercial potential. It can be used for online shopping or intelligent recommendation to narrow down the selections to a few designs and sizes. In this paper, we present a mixed reality system for 3D virtual clothes try-on that enables a user to see herself wearing virtual clothes while looking at a mirror display, without taking off her actual clothes. The user can select various virtual clothes for trying-on. The system physically simulates the selected virtual clothes on the user's body in real-time and the user can see virtual clothes fitting on the her mirror image from various angles as she moves. The major contribution of this paper is that we automatically customize an invisible (or partially visible) avatar based on the user's body size and the skin color and use it for proper clothes fitting, alignment and clothes simulation in our virtual try-on system. We present three scenarios: i) virtual clothes on the avatar, ii) virtual clothes on the user's image and iii) virtual clothes on the avatar blended with the user's face image. We have conducted a user study to evaluate the effectiveness of these three solutions from the end user's perception of quality attributes, cognitive attributes and attitude towards using. The user study shows that among these three scenarios, the second one is most preferred by the users and for 50% of them the experience they had with our system was sufficient to make the purchase decision for the outfits they virtually tried-on.
Miaolong Yuan, Ishtiaq Rasool Khan, Farzam Farbiz, Susu Yao, Arthur Niswar, Min-Hui Foo
IEEE Trans. Multim.6
2012 Evaluating the influence of motivational and educational strategies in personalized medication management
abstract
Medication non-adherence is a major problem to all stakeholders, posing escalating costs and risks to patients as well as substantial economic burden to the health care industry. Solutions that attempt to broaden the functions and capabilities of medication management have hitherto been employing a narrow-focused approach, often failing to address the multitude of factors that leads to the phenomena. In this paper, we present an experimental comparison of user attitude towards medication adherence using a single-focused versus a multifaceted personalized medication management system that has been implemented with elements of motivational and educational strategies. The findings from this research suggest evidence of the significance and usefulness of applying a multifaceted approach, in particular, the implementation of motivational and educational strategies in the design of a personalized medication management system in addressing medication non-adherence.
Min-Hui Foo, Jit Chee Chua, Chen Koon Toh, Jamie Ng
Healthcom1