Z
Zehua Huang
Researcher at Shandong University of Science and Technology
Publications - 7
Citations - 205
Zehua Huang is an academic researcher from Shandong University of Science and Technology. The author has contributed to research in topics: Channel state information & Gesture recognition. The author has an hindex of 4, co-authored 7 publications receiving 101 citations.
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Journal ArticleDOI
A Survey on Human Behavior Recognition Using Channel State Information
TL;DR: This paper analyzes the key components and core characteristics of the system architecture of human behavior recognition using CSI and elaborates the typical behavior recognition applications from five aspects, including experimental equipment, experimental scenario, behavior, classifier, and system performance.
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A Survey on CSI-Based Human Behavior Recognition in Through-the-Wall Scenario
TL;DR: A survey on the state-of-art progresses in device-free through-the-wall human behavior recognition based on CSI and describes the signal variation caused by human behavior, which illustrates that different human behaviors can cause signal transformation.
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Hand Gesture Recognition Based on Active Ultrasonic Sensing of Smartphone: A Survey
TL;DR: This paper considers the smartphone as an active sonar sensing system to identify hand movements and investigates the state-of-the-art ultrasonic-based applications of hand gesture recognition using smartphone and analyzes them in detail from dynamic gesture recognition and hand tracking.
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A Survey on Human Behavior Recognition Using Smartphone-Based Ultrasonic Signal
TL;DR: This paper introduces the fundamental principle of human behavior recognition based on ultrasound signals and investigates the state-of-the-art studies and applications and analyzes the signal processing techniques such as data collection, signal preprocessing, feature description, and behavior recognition approach.
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CSI-based human sensing using model-based approaches: a survey
TL;DR: A comprehensive survey of the latest model-based human sensing methods and their applications based on the CSI signal model and related models and fundamental signal preprocessing techniques is provided.