Intelligent Item Searching With Gesture-Based Interfaces Through Mobile Cloud Computing

In this paper, we propose an intelligent item searching framework for smart handheld devices through mobile cloud computing based on the Internet of Things (IoT) architecture. The proposed framework enables mobile users to drag a website/software icon over interested/unknown items for learning details, comparing prices, purchasing goods, etc. Our framework explores the IoT architecture, mobile cloud computing, and gesture-based interacting interfaces to alleviate the complexity and difficulty of device manipulation encountered by mobile users. In addition, we integrate our framework with an item caching mechanism that can reduce the total searching time as much as possible for popular items. Furthermore, we implement an Android-based item searching system to verify the feasibility and superiority of the proposed framework. Experimental results show that our implemented system outperforms existing methods and can significantly reduce the total consumption time of mobile item searching.