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mD-Track: Leveraging multi-dimensionality for passive indoor Wi-Fi tracking
Wi-Fi localization and tracking face accuracy limitations dictated by antenna count (for angle-
of-arrival methods) and frequency bandwidth (for time-of-arrival methods). This paper …
of-arrival methods) and frequency bandwidth (for time-of-arrival methods). This paper …
TagScan: Simultaneous target imaging and material identification with commodity RFID devices
Target imaging and material identification play an important role in many real-life
applications. This paper introduces TagScan, a system that can identify the material type …
applications. This paper introduces TagScan, a system that can identify the material type …
Harke: Human activity recognition from kinetic energy harvesting data in wearable devices
Kinetic energy harvesting (KEH) may help combat battery issues in wearable devices. While
the primary objective of KEH is to generate energy from human activities, the harvested …
the primary objective of KEH is to generate energy from human activities, the harvested …
Smokey: Ubiquitous smoking detection with commercial WiFi infrastructures
Even though indoor smoking ban is being put into practice in civilized countries, existing
vision or sensor-based smoking detection methods cannot provide ubiquitous smoking …
vision or sensor-based smoking detection methods cannot provide ubiquitous smoking …
RIO: A pervasive RFID-based touch gesture interface
In this paper, we design and develop RIO, a novel battery-free touch sensing user interface
(UI) primitive for future IoT and smart spaces. RIO enables UIs to be constructed using off-the …
(UI) primitive for future IoT and smart spaces. RIO enables UIs to be constructed using off-the …
STPP: Spatial-temporal phase profiling-based method for relative RFID tag localization
Many object localization applications need the relative locations of a set of objects as
oppose to their absolute locations. Although many schemes for object localization using …
oppose to their absolute locations. Although many schemes for object localization using …
Leggiero: Analog WiFi backscatter with payload transparency
Backscatter is an enabling technology for battery-free sensing in today's Artificial Intelligence
of Things (AIOT). Building a backscatter-based sensing system, however, is a daunting task …
of Things (AIOT). Building a backscatter-based sensing system, however, is a daunting task …
Accurate localization of tagged objects using mobile RFID-augmented robots
This paper studies the problem of tag localization using RFID-augmented robots, which is
practically important for promising warehousing applications, eg, automatic item fetching …
practically important for promising warehousing applications, eg, automatic item fetching …
Enabling gesture-based interactions with objects
Increasing numbers of everyday objects in libraries, stores and warehouses are
instrumented with passive RFID tags, resulting in a ripe opportunity for gesture-based …
instrumented with passive RFID tags, resulting in a ripe opportunity for gesture-based …
Are RFID sensing systems ready for the real world?
Passive Radio Frequency IDentification (RFID) tags are commonly used to provide Radio
Frequency (RF) accessible unique identifiers for physical objects due to their low-cost, lack …
Frequency (RF) accessible unique identifiers for physical objects due to their low-cost, lack …