Deadline for submissions: 31 May 2024

Aims and scope: In the past few decades, as the global aging population has intensified, research on wearable sensors and robots has become a meaningful way to solve problems such as shortage of medical resources, low efficiency of human-computer interaction, and difficulty quantifying nursing effects. Therefore, the current work of scholars in life support deserves attention and attention. This Special Issue focuses on current and emerging topics in wearable sensors and robots for life support. Through this special issue, we can summarize the recent theoretical progress and technological breakthroughs in wearable sensors and robots used for life support and propose solutions to the current aging problem.

This Special Issue will integrate the latest research results of wearable sensors, rehabilitation robots, and human-computer interaction technology and show researchers the progress of equipment and methods. Through this Special Issue, we aim to broaden the horizons of detection methods, integration levels, application objects, and interaction effects in this field and inspire researchers to imagine new materials and application scenarios for wearable sensors.

 

Potential topics include but are not limited to:

1) Sensing material innovation: How to combine the latest material preparation and integration methods to break through the detection limitations of traditional wearable sensors and achieve flexible, long-lasting, non-invasive sensing effects

2) Robot structural innovation: By designing innovative robot structures, the life support process is more humane and comfortable.

3) Highly friendly human-computer interaction mode: improve the adaptability of the life support process to human intentions through wearable sensor data and the robot's working mode

4) Clinical evaluation model: Combining the latest machine learning processing methods and the knowledge system of clinical experts to achieve clinical evaluation results.

 

Keywords: Wearable sensors, assistive robot, human-machine interaction, motion analysis, life support, high intelligence.

Guest Editors' information

Professor Tao Liu, Zhejiang University

Tao Liu received a B.S. degree in mechanical engineering from the Harbin University of Science and Technology, Harbin, China, in 2001, an M.Eng. degree in mechanical engineering from the Harbin Institute of Technology, Harbin, in 2003, and a Ph.D. degree in engineering from the Kochi University of Technology, Kochi, Japan, in 2006. He has been an Assistant Professor at the Department of Intelligent Mechanical Systems Engineering, Kochi University of Technology, from 2009 to 2013. He is a Professor at the State Key Laboratory of Fluid Power Transmission and Control, School of Mechanical Engineering, Zhejiang University, China. He also holds one Japanese patent in wearable sensors for gait analysis, which was commercialized. His research interests include wearable sensor systems, rehabilitation robots, biomechanics, and human motion analysis. He received the Japan Society of Mechanical Engineers Encouragement Prize in 2010. In 2013, he received the Chinese Recruitment Program of Global Youth Experts.

 

Professor Jun Zou, Zhejiang University

Jun Zou has a PhD in Engineering and is a professor at Zhejiang University. He revived the young Yangtze River Scholar, recipient of the National Natural Science Foundation of China Outstanding Youth Fund and is the secretary-general of Zhejiang University Robotics and Intelligent Equipment Technology Alliance. He has mainly engaged in research work on robotics and intelligent manufacturing. He has won the second-class national teaching achievement award, one first-class provincial and ministerial science and technology progress award, one gold medal, and one silver medal each from the Geneva International Invention Award. In addition, he has published more than 60 SCI papers, and obtained more than 40 invention patent authorizations.