Abstract: In this paper, a Kinect-based gesture recognition scheme for the application of operating a vending machine is presented where the popular smart phone device with the android platform is used as a simulator of the vending machine. Compared to the conventional human-computer interface (HCI) of vending machines by push-button operations, the developed gesture recognition scheme that employs the gesture action made by a personal operator as the operational command is a new type of HCI to control the vending machine. Presented Kinect-based gesture recognition for vending machine control sufficiently takes use of the released Kinect software development kit (Kinect SDK) to develop the system where the human skeleton information to represent the corresponding operator’s gesture action is extracted and then recognized. For further increasing the recognition accuracy of gesture command recognition, a time interval between the current recognition decision and the next recognition decision is in

• Publication Date: 29-Aug-2015
• DOI: 10.15224/978-1-63248-073-6-11
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Abstract: Writing informative abstract is challenging especially for novice student writers due to word limit. Until today, there is no tool in helping writers write good abstract. In this paper, a framework was proposed to check the quality of engineering abstract with two important criteria, which are unique keyword and principal move. The execution of the proposed framework on engineering corpus shows the capability of the proposed work in detecting essential moves according to Santos’ Move. The obtained Abstract Quality Index (AQI) values show that the quality of abstract could be evaluated in a more detailed manner. The findings from the engineering abstract corpus yield that shorter length of abstract with right keywords produced higher value of AQI

• Publication Date: 29-Aug-2015
• DOI: 10.15224/978-1-63248-073-6-12
• Views: 0
• Downloads: 0