H
Han Zou
Researcher at University of California, Berkeley
Publications - 83
Citations - 3755
Han Zou is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Indoor positioning system & Computer science. The author has an hindex of 28, co-authored 68 publications receiving 2440 citations. Previous affiliations of Han Zou include Nanyang Technological University.
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Fusion of WiFi, Smartphone Sensors and Landmarks Using the Kalman Filter for Indoor Localization
TL;DR: This work proposes a sensor fusion framework for combining WiFi, PDR and landmarks, and can provide an average localization accuracy of 1 m, which shows significant improvement using the proposed framework.
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A Robust Indoor Positioning System Based on the Procrustes Analysis and Weighted Extreme Learning Machine
TL;DR: A robust and precise IPS is developed by integrating the merits of both the STI and weighted extreme learning machine (WELM) and a performance comparison with existing solutions verifies the superiority of the proposed IPS in terms of robustness to device heterogeneity.
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WinIPS: WiFi-Based Non-Intrusive Indoor Positioning System With Online Radio Map Construction and Adaptation
TL;DR: WinIPS is proposed, a WiFi-based non-intrusive IPS that enables automatic online radio map construction and adaptation, aiming for calibration-free indoor localization.
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Device-Free Occupant Activity Sensing Using WiFi-Enabled IoT Devices for Smart Homes
TL;DR: A novel real-time, device-free, and privacy-preserving WiFi-enabled Internet of Things platform for occupancy sensing, which can promote a myriad of emerging applications and is designed to achieve an optimal tradeoff between performance and scalability.
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A Fast and Precise Indoor Localization Algorithm Based on an Online Sequential Extreme Learning Machine
TL;DR: The proposed localization algorithm based on an online sequential extreme learning machine (OS-ELM) can provide higher localization accuracy than traditional approaches, due to its fast adaptation to various environmental dynamics.