B
Baden Parr
Researcher at Massey University
Publications - 15
Citations - 185
Baden Parr is an academic researcher from Massey University. The author has contributed to research in topics: Wireless sensor network & Sensor node. The author has an hindex of 4, co-authored 14 publications receiving 56 citations.
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Low Cost Sensor With IoT LoRaWAN Connectivity and Machine Learning-Based Calibration for Air Pollution Monitoring
TL;DR: A novel low-cost sensor node that utilizes cost-effective electrochemical sensors to measure carbon monoxide (CO) and nitrogen dioxide (NO2) concentrations and an infrared sensor to measure particulate matter (PM) levels is developed.
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Device-Free Localization: A Review of Non-RF Techniques for Unobtrusive Indoor Positioning
TL;DR: A comprehensive review of non-RF solutions covering visible light-, infrared-, physical excitation-and electric field sensing-based techniques is presented in this article, where limitations of the state-of-the-art and potential future research directions are also outlined.
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Falcon: Fused Application of Light Based Positioning Coupled With Onboard Network Localization
TL;DR: F fused application of light-based positioning coupled with onboard network localization (Falcon), a VLP system, which incorporates convolutional neural network-based wireless localization to remove this limitation of traditional VLP systems.
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Visible Light Positioning Based on Calibrated Propagation Model
TL;DR: The proposed technique is shown to be as accurate as a fingerprint-based method while requiring far less effort for offline calibration.
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CapLoc: Capacitive Sensing Floor for Device-Free Localization and Fall Detection
TL;DR: CapLoc is introduced, a floor-based DFL solution that can localize a subject in real-time using capacitive sensing that can detect and localizes a single target’s footsteps accurately with a median localization error of 0.026 m.