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Big Data Analytics on Customer Behaviors with Kinect Sensor Network
Hongye Zhong, Jitian Xiao
Pages - 36 - 47     |    Revised - 01-03-2015     |    Published - 31-03-2015
Volume - 6   Issue - 2    |    Publication Date - March 2015  Table of Contents
Big Data, Kinect, Customer, Behavior Analysis, Human Computer Interaction.
In modern enterprises, customer data is valuable for identifying their behavioral patterns and developing marketing strategies that can align with the preferences of different customers. The objective of this research is to develop a framework that promotes the use of Kinect sensors for Big Data Analytics on customer behavior analysis. Kinect enables 3D motion capture, facial recognition and voice recognition capabilities which allow to analyze customer behaviors in various aspects. Information fusion on the network of multiple Kinect sensors can achieve enhanced insight of the customer emotion, habits and consuming tendencies. Big Data Analytic techniques such as clustering and visualization are applied on the data collected from the sensors to provide better comprehension on the customers. Prediction on how to improve the customer relationship can be made to stimulate the vendition. Finally, an experimental system is designed based on the proposed framework as an illustration of the framework implementation.
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Mr. Hongye Zhong
School of Computer and Security Science Edith Cowan University WA, 6050 - Australia
Dr. Jitian Xiao
School of Computer and Security Science Edith Cowan University WA, 6050, Australia - Australia