Analyzing Shopper's Behavior through WiFi Signals

Substantial progress in WiFi-based indoor localization has proven that pervasiveness of WiFi can be exploited beyond its traditional use of internet access to enable a variety of sensing applications. Understanding shopper’s behavior through physical analytics can provide crucial insights to the business owner in terms of e↵ectiveness of promotions, arrangement of products and e ciency of services. However, analyzing shopper’s behavior and browsing patterns is challenging. Since video surveillance can not used due to high cost and privacy concerns, it is necessary to design novel techniques that can provide accurate and e cient view of shopper’s behavior. In this work, we propose WiFi-based sensing of shopper’s behavior in a retail store. Specifically, we show that various states of a shopper such as standing near the entrance to view a promotion or walking quickly to proceed towards the intended item can be accurately classified by profiling Channel State Information (CS...

• Type: Journal
• Year: 2015
• Where: MOBISYS
• Authors: Yunze Zeng, Parth H. Pathak, Prasant Mohapatra
• Keywords: Computer Networks, MOBISYS 2015