Help ?

IGMIN: We're glad you're here. Please click 'create a new query' if you are a new visitor to our website and need further information from us.

If you are already a member of our network and need to keep track of any developments regarding a question you have already submitted, click 'take me to my Query.'

Focusing on Biology, Medicine and Engineering disciplines | ISSN: 2995-8067  G o o g l e  Scholar

logo image

IgMin Research - A BioMed & Engineering Open Access Journal is a prestigious multidisciplinary journal committed to the advancement of research and knowledge in the expansive domains of biology, medicine and engineering.

Abstract

Chao Lian Author at IgMin Research

Our purpose is to support shared research goals that lead to quicker innovation.

Engineering Group (1)

Review Article Article ID: igmin123
Cite

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.

A Survey of Motion Data Processing and Classification Techniques Based on Wearable Sensors
by Xiaoqiong 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

Data Mining Technology and SocietyMachine Learning
Chao Lian

Author

Work Details

 Northeastern University at Qinhuangdao

 School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China

 China

PUBLISH YOUR RESEARCH

We publish a wide range of article types in biology, medicine and engineering with no editorial biases.

Submit

See Manuscript Guidelines and APC

Explore the IgMin Subjects
Google Scholar
welcome Image

Google Scholar, beta-launched in November 2004, acts as an academic navigator through vast scholarly seas. It covers peer-reviewed journals, books, conference papers, theses, dissertations, preprints, abstracts, technical reports, court opinions, and patents. Search IgMin Articles