SUMMARYMost methods of file transfer between mobile devices have to take considerable time to obtain and input target identifiers. To speed up file sharing of mobile devices, an intelligent file transfer framework is designed based on mobile cloud computing. Only single-finger action is performed in the proposed framework, which just drags the file to the target face on the touchscreen of a mobile device. The dragged file can be transmitted to the target receiver who can either get the file immediately as her/his mobile device is online or receive the file later after connecting to the Internet. Our framework provides the following features: (i) users do not need to know the target identifier in advance; (ii) users do not need to input identity information by themselves; and (iii) users can select a specific target among multiple candidates from the camera of a mobile device. The intelligent file transfer framework reveals an efficient architecture and innovative user interfaces to transfer files between mobile devices, which can significantly reduce the complexity and difficulty of file sharing. An Android-based prototype is implemented to verify the feasibility and superiority of our framework. Experimental results show that our approach outperforms existing schemes and can save large amounts of time in file sharing for mobile users.
In this paper, we design an augmented reality based file transfer system called ShareAR. The ShareAR system only needs a single-finger action that drags the file icon to the target face on the screen of a mobile device. The dragged file can be transmitted to the target receiver who gets the file immediately as her/his mobile device is on-line or receives the file later after connecting to the Internet. Through ShareAR, users do not need to know the target account in advance. In addition, users do not need to input account information by themselves. Furthermore, users can select a specific target among multiple candidates from the camera of a mobile device. ShareAR reveals an innovative user interface to transfer files between mobile devices. We have implemented an Android-based ShareAR system that outperforms existing schemes in experimental results.
No abstract
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.