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Nowadays, with the advancement of the Internet and personal mobile devices, many interactive media are prevailing, where viewers make their own decisions on the story of the media based on their interactions. The interaction that the user can make is usually pre-programmed by a programmer. Therefore, interactions that users can make are limited to programmable areas. In comparison, in this paper, we propose an Interactive media authoring tool which can compose diverse two-hand interactions from several one-hand interactive components. The aim is to provide content creators with a tool to produce multiple hand motions so that they can design a variety of user interactions to stimulate the interest of content viewers and increase their sense of immersion. Using the proposed system, the content creator can gain greater freedom to create more diverse and complex interactions than programmable ones. The system is composed of a complex motion editor that edits one-hand motions into complex two-hand motions, a touchless sensor that senses the hand motion and a metadata manager that handles the metadata, which specify the settings for the interactive functions. To our knowledge, the proposed system is the first web-based authoring tool that can authorize complex two-hand motions from single hand motions, and which can also control a touchless motion control device.

Since the successful exfoliation of graphene, various methodologies have been developed to identify the number of layers of exfoliated graphene. The optical contrast, Raman G-peak intensity, and 2D-peak line-shape are currently widely used as the first level of inspection for graphene samples. Although the combination analysis of G- and 2D-peaks is powerful for exfoliated graphene samples, its use is limited in chemical vapor deposition (CVD)-grown graphene because CVD-grown graphene consists of various domains with randomly rotated crystallographic axes between layers, which makes the G- and 2D-peaks analysis difficult for use in number identification. We report herein that the Raman Si-peak intensity can be a universal measure for the number identification of multilayered graphene. We synthesized a few-layered graphene via the CVD method and performed Raman spectroscopy. Moreover, we measured the Si-peak intensities from various individual graphene domains and correlated them with the corresponding layer numbers. We then compared the normalized Si-peak intensity of the CVD-grown multilayer graphene with the exfoliated multilayer graphene as a reference and successfully identified the layer number of the CVD-grown graphene. We believe that this Si-peak analysis can be further applied to various 2-dimensional (2D) materials prepared by both exfoliation and chemical growth.

Graphene has been received a considerable amount of attention as a transparent conducting electrode (TCE) which may be able to replace indium tin oxide (ITO) to overcome the significant weakness of the poor flexibility of ITO. Given that graphene is the thinnest 2-dimensional (2D) material known, it shows extremely high flexibility, and its lateral periodic honeycomb structure of sp2-bonded carbon atoms enables ~2.3% of incident light absorption per layer. However, there is a trade-off between the electrical resistance and the optical transmittance, and the fixed absorption rate in graphene limits is use when fabricating devices. Therefore, a more efficient method which continuously controls the optical and electrical properties of graphene is needed. Here, we introduce a method which controls the optical transmittance and the electrical resistance of graphene through various thicknesses of the top Cu layers with a Cu/Ni metal catalyst structure used to fabricate a planar mesh pattern of single and multi-layer graphene. We exhibit a continuous transmittance change from 85% (MLG) to 97.6% (SLG) at an incident light wavelength of 550 nm on graphene samples simultaneously grown in a CVD quartz tube. We also investigate the relationships between the sheet resistances.