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Full-Text Articles in Computer Engineering
Audiosense: Sound-Based Shopper Behavior Analysis System, Amit Sharma, Youngki Lee
Audiosense: Sound-Based Shopper Behavior Analysis System, Amit Sharma, Youngki Lee
Research Collection School Of Computing and Information Systems
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 …
Arraytrack: A Fine-Grained Indoor Location System, Jie Xiong, Kyle Jamieson
Arraytrack: A Fine-Grained Indoor Location System, Jie Xiong, Kyle Jamieson
Research Collection School Of Computing and Information Systems
With myriad augmented reality, social networking, and retail shopping applications all on the horizon for the mobile handheld, a fast and accurate location technology will become key to a rich user experience. When roaming outdoors, users can usually count on a clear GPS signal for accurate location, but indoors, GPS often fades, and so up until recently, mobiles have had to rely mainly on rather coarse-grained signal strength readings. What has changed this status quo is the recent trend of dramatically increasing numbers of antennas at the indoor access point, mainly to bolster capacity and coverage with multiple-input, multiple-output (MIMO) …
Towards Fine-Grained Radio-Based Indoor Location, Jie Xiong, Kyle Jamieson
Towards Fine-Grained Radio-Based Indoor Location, Jie Xiong, Kyle Jamieson
Research Collection School Of Computing and Information Systems
Location systems are key to a rich experience for mobile users. When they roam outdoors, mobiles can usually count on a clear GPS signal for an accurate location, but indoors, GPS usually fades, and so up until recently, mobiles have had to rely mainly on rather coarse-grained signal strength readings for location. What has changed this status quo is the recent trend of dramatically increasing numbers of antennas at the indoor AP, mainly to bolster capacity and coverage with multiple-input, multiple-output (MIMO) techniques. In the near future, the number of antennas at the access point will increase several-fold, to meet …