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The Design and Implementation of A Cost-effective RFID Indoor Localization System
Recently, there has been growing interest in indoor localization, because numerous applications depend on the rapid and accurate position estimation of tagged objects. While RFID-based indoor localization is attractive, the need for a large-scale and ...
FM-based Device-Free Localization and Activity Recognition via Sparse Representation
FM-based Device-Free Localization and Activity Recognition (FDFLAR) is a novel emerging technique which could sense location and activity information of a target utilizing only the ambient FM signals. FDFLAR realizes context aware with nearly no extra ...
Prevent CSI Spoofing in Uplink MU-MIMO Transmission
A Multi-User MIMO (MU-MIMO) Access Point (AP) can obtain a capacity gain by simultaneously transmitting for multiple clients. In order to select concurrent uplink (UL) users with strong channel orthogonality and thus high total capacity, channel state ...
Invisible Cloak Fails: CSI-based Passive Human Detection
WiFi signals have attracted extensive attention for context-aware due to its ubiquity. Traditional WiFi sensing methods mainly adopt Received Signal Strength Indication (RSSI), however the coarse features hamper its expansion. To achieve more finger-...
The UbiDCC Data Set: Collecting Wi-Fi and Bluetooth Scans During a Large-scale Conference
In this paper, we report on a large-scale Data Collection Campaign (DCC). It took place during the UbiComp/ISWC 2013 conference. Over 700 attendees were registered for this 3-days event. We contribute the UbiDCC data set that is publicly available. It ...
Device-free Human Activity Recognition using CSI
Activity recognition is an important component of pervasive computing applications. Device-free activity recognition has the advantage that it does not have the privacy concern of using cameras and the subjects do not have to carry a device on them. ...
Context Sensing and Feature Discovery for Improving Classifications
We propose context sensing as features for improved accuracy in classifications in our ongoing research. In many applications, features extracted from purposed sensors may not be enough for classification tasks accurately. Context features can help to ...
Doppler Effect based Moving Target Detection Adaptive to Speed
Moving target detection serves as a key enabler for various applications such as campus security, military battlefield, and wildlife protection. Conventional detection systems usually adopt the multimedia or RF based technology (e.g. the Doppler shift). ...
An Efficient Variable Dimension PSO Algorithm for Mobile Node Tour Planning in WSN
Recent advances in unmanned aerial vehicle (UAV) and wireless charging technologies have made it practical to introduce a mobile node into Wireless Sensor Networks (WSN). This mobile node with sink ability or charging equipment on it can travel around ...
SenSys: A Sensor Data Sharing System for Smart Devices using Bluetooth Low Energy
In this work, we present SenSys, a Sensor data sharing System for smart devices. The SenSys opportunistically shares the sensor data of a smart device to other nearby smart devices using Bluetooth Low Energy. The SenSys has been evaluated by well-...