AudioSense: Sound-based shopper behavior analysis system

• Main Authors: SHARMA, Amit, LEE, Youngki
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: AoA; Audio sensing; Sound localization; TDoA; Trajectory tracking; Audio acoustics; Time difference of arrival; Wearable computers; Wearable technology; Angles of arrival; Behavior analysis; Estimation errors; Layout information; Multiple microphones; Ubiquitous computing; Computer and Systems Architecture; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/3839; https://ink.library.smu.edu.sg/context/sis_research/article/4841/viewcontent/p488_sharma__1_.pdf
• Institution: Singapore Management University

This paper presents AudioSense, the system to monitor user-item interactions inside a store hence enabling precisely customized promotions. A shopper's smartwatch emits sound every time the shopper picks up or touches an item inside a store. This sound is then localized, in 2D space, by calculating the angles of arrival captured by multiple microphones deployed on the racks. Lastly, the 2D location is mapped to specific items on the rack based on the rack layout information. In our initial experiments conducted with a single rack with 16 compartments, we could localize the shopper's smartwatch with a median estimation error of 15.9 cm in 2-dimensional space.