Mirror Mirror

Saakes, Daniel; Yeo, Hui-Shyong; Noh, Seung‐Tak; Han, Gyeol; Woo, Woontack

doi:10.1145/2858036.2858282

Cited by 42 publications

(3 citation statements)

References 25 publications

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“…Furthermore, implementing smart mirrors in fashion and sport fields is getting popular. In [15]- [18], a smart mirror was made as a virtual fashion consultant, which can analyze, estimate and recommend the appropriate wearing and outfits by providing augmented reality (AR) and gestures recognition for body pose tracking and allowing the users to choose clothes in 2D visualization. However, Rahman et al [19] and Iwabuchi et al [20] aim to provide a smart makeup mirror that gives the users the ability to apply different makeup styles on their faces virtually using 3D visualization.…”

Section: Related Workmentioning

confidence: 99%

Smart information desk system with voice assistant for universities

Alboaneen

Alsaffar

Alqahtani

et al. 2021

IJECE

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This article aims to develop a smart information desk system through a smart mirror for universities. It is a mirror with extra capabilities of displaying answers for academic inquiries such as asking about the lecturers’ office numbers and hours, exams dates and times on the mirror surface. In addition, the voice recognition feature was used to answer spoken inquiries in audio responds to serve all types of users including disabled ones. Furthermore, the system showed general information such as date, weather, time and the university map. The smart mirror was connected to an outdoor camera to monitor the traffics at the university entrance gate. The system was implemented on a Raspberry Pi 4 model B connected to a two-way mirror and an infrared (IR) touch frame. The results of this study helped to overcome the problem of the information desk absence in the university. Therefore, it helped users to save their time and effort in making requests for important academic information.

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Section: Related Workmentioning

confidence: 99%

Smart information desk system with voice assistant for universities

Alboaneen

Alsaffar

Alqahtani

et al. 2021

IJECE

View full text Add to dashboard Cite

show abstract

“…Although these systems investigated methods to create data visualizations with pen and touch input, they mainly focus on the 2D visualization on a 2D canvas, while AR environments involve 3D. On the other hand, while several touch- [25] or penbased [38], [50] authoring tools have been developed to help users create general AR content, they do not support the creation of data-driven visualization in AR environments. Most recently, Sicat et al [54] presented DXR, a toolkit which provides both programmatic and graphical user interfaces to help designers create prototypes of immersive visualizations rapidly.…”

Section: Visualization Toolkitsmentioning

confidence: 99%

MARVisT: Authoring Glyph-Based Visualization in Mobile Augmented Reality

Chen

Wang

et al. 2020

IEEE Trans. Visual. Comput. Graphics

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Recent advances in mobile augmented reality (AR) techniques have shed new light on personal visualization for their advantages of fitting visualization within personal routines, situating visualization in a real-world context, and arousing users' interests. However, enabling non-experts to create data visualization in mobile AR environments is challenging given the lack of tools that allow in-situ design while supporting the binding of data to AR content. Most existing AR authoring tools require working on personal computers or manually creating each virtual object and modifying its visual attributes. We systematically study this issue by identifying the specificity of AR glyph-based visualization authoring tool and distill four design considerations. Following these design considerations, we design and implement MARVisT, a mobile authoring tool that leverages information from reality to assist non-experts in addressing relationships between data and virtual glyphs, real objects and virtual glyphs, and real objects and data. With MARVisT, users without visualization expertise can bind data to real-world objects to create expressive AR glyph-based visualizations rapidly and effortlessly, reshaping the representation of the real world with data. We use several examples to demonstrate the expressiveness of MARVisT. A user study with non-experts is also conducted to evaluate the authoring experience of MARVisT.

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“…Instead, leveraging the design in situ advantage of AR, our system allows the designer to interactively customize the fit garment on the client's real body and view the fitting of the new design immediately. Compared with existing projection [Saakes et al 2016] or screen-based [Chong et al 2021] mirror try-on systems, our system provides the designer stereoscopy scene stimulating the way humans perceive depth in the real world, which is essential for garment fitting evaluation. Additionally, our system uniquely enables the designer to change the shape of the virtual garment by simple interaction technique and we will bring a demonstration for visitors to Siggraph Asia 2023.…”

Section: Introductionmentioning

confidence: 99%