Sensing Gestures for Business Intelligence

David Bell, Nikhil Makwana, Chidozie Mgbemena

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.

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Paper Citation


in Harvard Style

Bell D., Makwana N. and Mgbemena C. (2014). Sensing Gestures for Business Intelligence . In Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-001-7, pages 52-60. DOI: 10.5220/0004878100520060


in Bibtex Style

@conference{sensornets14,
author={David Bell and Nikhil Makwana and Chidozie Mgbemena},
title={Sensing Gestures for Business Intelligence},
booktitle={Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2014},
pages={52-60},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004878100520060},
isbn={978-989-758-001-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Sensing Gestures for Business Intelligence
SN - 978-989-758-001-7
AU - Bell D.
AU - Makwana N.
AU - Mgbemena C.
PY - 2014
SP - 52
EP - 60
DO - 10.5220/0004878100520060