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Biography
Dr. Chao Lian is a research assistant at the School of Control Engineering, Northeastern University at Qinhuangdao, China. He has completed both his master's and doctoral degrees at the same institution. His research interests encompass wearable devices, smart sensors, intelligent detection, human activity recognition (HAR), data mining, and deep learning.
Dr. Lian has authored over 20 SCI-indexed papers in esteemed journals such as Advanced Intelligent Systems, IEEE Transactions on Instrumentation and Measurement, and IEEE Sensors Journal.
In addition to his research contributions, Dr. Lian serves as a reviewer for several journals, including IEEE Sensors Journal, Sensors, and the International Journal of Sensors and Sensor Networks. He has also participated in the review process for prominent academic conferences like CVVR2023 and MEAAC2023 .
Dr. Lian's work primarily focuses on the application of machine learning and deep learning techniques to enhance the capabilities of wearable sensors in various domains, including healthcare, sports analysis, and human-computer interaction.
Research Interest
Dr. Chao Lian's research interests focus on the integration of advanced sensing technologies with machine learning and artificial intelligence to develop intelligent systems. His work primarily explores the application of wearable devices and smart sensors for various human activity recognition (HAR) tasks, data mining, and deep learning techniques. By leveraging these technologies, Dr. Lian aims to enhance the capabilities of sensor networks in fields such as healthcare, sports performance analysis, and human-computer interaction. His research also delves into the development of intelligent detection systems that can process real-time data efficiently and accurately. Additionally, Dr. Lian is interested in optimizing the performance of wearable sensors, addressing issues related to data accuracy, power consumption, and user comfort. His work bridges the gap between theoretical advancements in control engineering and practical applications, contributing to the development of more intuitive and effective smart systems.
Open Access Policy refers to a set of principles and guidelines aimed at providing unrestricted access to scholarly research and literature. It promotes the free availability and unrestricted use of research outputs, enabling researchers, students, and the general public to access, read, download, and distribute scholarly articles without financial or legal barriers. In this response, I will provide you with an overview of the history and latest resolutions related to Open Access Policy.
byXiaoqiong Xiong, Xuemei Xiong, Chao Lian and Keda Zeng
The rapid development of wearable technology provides new opportunities for action data processing and classification techniques. Wearable sensors can monitor the physiological and motion signals of the human body in real-time, providing rich data sources for health monitoring, sports analysis, and human-computer interaction. This paper provides a comprehensive review of motion data processing and classification techniques based on wearable sensors, mainly including feature extraction techniques, classification techniques, and future developmen...t and challenges. First, this paper introduces the research background of wearable sensors, emphasizing their important applications in health monitoring, sports analysis, and human-computer interaction. Then, it elaborates on the work content of action data processing and classification techniques, including feature extraction, model construction, and activity recognition. In feature extraction techniques, this paper focuses on the content of shallow feature extraction and deep feature extraction; in classification techniques, it mainly studies traditional machine learning models and deep learning models. Finally, this paper points out the current challenges and prospects for future research directions. Through in-depth discussions of feature extraction techniques and classification techniques for sensor time series data in wearable technology, this paper helps promote the application and development of wearable technology in health monitoring, sports analysis, and human-computer interaction.Index Terms: Activity recognition, Wearable sensor, Feature extraction, Classification
