Multi-Screen Adaptive Displaying With Augmented Reality Manipulation Based on the Internet of People
Lien‐Wu Chen, Ai-Ni Li, Yu-An Shi · IEEE Transactions on Emerging Topics in Computational Intelligence · 2023
This paper proposes a multi-screen adaptive displaying (MSAD) framework that can enable the assembling of heterogeneous mobile devices into one multi-screen displaying equipment based on the Internet of People. According to our review of relevant research, this is the first framework that provides the following features: (1) the static image, dynamic video, or running text can be properly divided into multiple parts based on the relative positions and screen sizes of different mobile devices, (2) the splitting image, video, or running text can be immediately translated, resized, and previewed on the mobile device in an augmented reality manner, and (3) the different parts of a video or running text can be synchronically played on multiple mobile devices with different computing speeds and screen resolutions. An Android-based prototype with a splitting server is implemented to verify the feasibility and superiority of our MSAD framework. Experimental results show that our framework manipulates the desired content much faster than existing methods/systems and can significantly reduce the total operating time. Moreover, MSAD can effectively alleviate the displaying time inconsistency and unsynchronized content gap on heterogeneous mobile devices.