Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/12419
Title: Sensing gestures for business intelligence
Authors: Bell, DAVID
Makwana, N
Mgbemena, C
Keywords: Motion Sensors;Gestures;Business Intelligence
Issue Date: 2014
Citation: Proceedings of the 3rd International Conference on Sensor Networks, Lisbon, 07-09 January 2014, pp. 52 - 60
Abstract: The combination of sensor data with analytic techniques is growing in popularity for both practitioners and researchers as an Internet of Things (IoT) offers new opportunities and insights. Organisations are trying to use sensor technologies to derive intelligence and gain a competitive edge in their industries. Obtaining data from sensors might not pose too much of a problem, however subsequent utilisation in meeting an organisation’s decision making can be more problematic. Understanding how sensor data analytics can be undertaken is the first step to deriving business intelligence from front line retail environments. This paper explores the use of the Microsoft Kinect sensor to provide intelligence by identifying and sensing gestures to better understand customer behaviour in the retail space.
URI: http://www.scitepress.org/DigitalLibrary/HomePage.aspx
http://bura.brunel.ac.uk/handle/2438/12419
ISBN: 978-989-758-001-7
Appears in Collections:Dept of Computer Science Research Papers

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