posted by organizer: damarobe || 32084 views || tracked by 11 users: [display]

CIPSBSN 2020 : Special Issue Computational Intelligence for Physiological Sensors and Body Sensor Network

FacebookTwitterLinkedInGoogle

Link: https://www.mdpi.com/journal/electronics/special_issues/Comput_Intelligence_Sensors
 
When N/A
Where N/A
Submission Deadline Feb 29, 2020
Categories    electronics   sensors   wireless sensor networks   signal processing
 

Call For Papers

The rapid development of electronics leads to the applications in many areas of science and technology, whilst simultaneously creating many challenging problems in every aspect of modern life. A body sensor network (BSN) connects sensors and devices that are placed around the human body or in personal clothing to collect physiological data. Different sensor technologies are used to collect this data, like physiological sensors (e.g., EEG, ECG, electrodermal activity, and skin conductance) and other non-intrusive sensors and devices (e.g., imaging cameras, Leap Motion, and Kinect). The collected data must be analyzed using intelligent methods in order to be usable in a variety of applications such as ambient assisted living, health monitoring, rehabilitation, sports, emotion-aware intelligent systems, and gaming.

Current research is interdisciplinary in nature, reflecting a combination of concepts and methods that often span several areas of electrical engineering, mathematics, health sciences, and other scientific disciplines. In these areas of application, the use of computational intelligence methods to enhance the efficiency and quality of results is very important. Contributions covering neural networks, bioinspired methods, and other computational intelligence methods are welcomed.

This Special Issue invites contributions that address (i) sensing technologies and issues and (ii) computational intelligence techniques of relevance to tackle the challenges above. In particular, submitted papers should clearly show novel contributions and innovative applications covering but not limited to any of the following topics:

ECG, EEG, and electrodermal activity sensor systems;
Sensor data pre-processing, noise filtering, and calibration concepts for physiological signals;
Electrical circuits and devices for wearable electronics;
Deep learning and bioinspired algorithms for a better understanding of BSN-collected physiological signals;
Applications in BSNs for human activity recognition, sport monitoring, emotion recognition, and health care.

Technical Program Committee Members:
Dr. Marcin Wozniak, Silesian University of Technology, Gliwice, Poland
Prof. Dr. Victor Hugo C. de Albuquerque, Universidade de Fortaleza, Fortaleza, Brazil
Dr. Wei Wei, Xi'an University of Technology, Xi'an, China

Prof. Dr. Robertas Damaševičius, Kaunas University of Technology, Kaunas, Lithuania
Guest Editor

Related Resources

Signal 2021   8th International Conference on Signal and Image Processing
IJCAI 2021   30th International Joint Conference on Artificial Intelligence
IPSN 2021   20th ACM/IEEE Intl. Conf. on Information Processing in Sensor Networks
ICCIA--Ei, Scopus 2021   2021 6th International Conference on Computational Intelligence and Applications (ICCIA 2021)--EI Compendex, Scopus
CiVEJ 2020   Civil Engineering and Urban Planning: An International Journal
ACM--ICDLT--Ei, Scopus 2021   ACM--2021 5th International Conference on Deep Learning Technologies (ICDLT 2021)--Ei Compendex, Scopus
SENSORNETS 2021   10th International Conference on Sensor Networks
IJICS 2020   International Journal of Instrumentation and Control Systems
Sensors (MDPI) 2020   Special Issue on Security, Trust and Privacy in New Computing Environments
WSAI--Ei Compendex and Scopus 2021   IEEE--2021 the 3rd World Symposium on Artificial Intelligence (WSAI 2021)--Ei Compendex, Scopus