Hany Mahgoub

Work place: Department of Computer Science, Faculty of Computers and Information, Menoufia University, Egypt

E-mail: h_mahgoub@yahoo.com


Research Interests: Software Notations and Tools, Software Organization and Properties, Computer systems and computational processes, Operating Systems, Systems Architecture, Information Systems, Data Mining, Information Retrieval, Data Structures and Algorithms


Hany Mahgoub received the B.Sc. in Pure Mathematics and Computer Science and M.Sc. in Computer Science from Menoufia University, Faculty of science in 1993 and 1999, respectively. He received his PhD in Computer Science from Menoufia University, Faculty of Computers and Information, Egypt in 2010. His research interest includes data, text and web mining, Information Retrieval, software testing, distributed systems, intelligent systems, human computation and bioinformatics.

Author Articles
Human Computation: Object Recognition for Mobile Games Based on Single Player

By Mohamed Sakr Hany Mahgoub Arabi Keshk

DOI: https://doi.org/10.5815/ijmecs.2014.07.02, Pub. Date: 8 Jul. 2014

Smart phones and its applications gain a lot of popularity nowadays. Many people depend on them to finish their tasks banking, social networking, fun and a lot other things. Games with a purpose (GWAP) and microtask crowdsourcing are considered two techniques of the human-computation. GWAPs depend on humans to accomplish their tasks. Porting GWAPs to smart phones will be great in increasing the number of humans in it. One of the systems of human-computation is ESP Game. ESP Game is a type of games with a purpose. ESP game will be good candidate to be ported to smart phones. This paper presents a new mobile game called MemoryLabel. It is a single player mobile game. It helps in labeling images and gives description for them. In addition, the game gives description for objects in the image not the whole image. We deploy our algorithm at the University of Menoufia for evaluation. In addition, the game is published on Google play market for android applications. In this trial, we first focused on measuring the total number of labels generated by our game and also the number of objects that have been labeled. The results reveal that the proposed game has promising results in describing images and objects.

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