Pattern Recognition and Sensor Fusion Solutions in Intelligent Sensor Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 68317
Special Issue Editors
Interests: intelligent sensor systems; wireless sensor networks; sensor calibration; inertial and magnetic sensors; sensor applications; human-machine interfaces; wearable sensors; sensor fusion; localization; intelligent transportation systems; vehicle detection and classification systems; robotics; mobile robots; multi-robot systems; pattern recognition; signal processing; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: information and communication technologies; signal processing; information theory; data mining and knowledge discovery; sensors; feedback systems: biomechanical; electrical; monetary; social; economic
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent control; sensor fusion; robotics; kalman filtering; industrial robotics; soft computing; localization; SLAM
Special Issues, Collections and Topics in MDPI journals
Interests: sensors; wearable devices; digital signal processing; motion analysis; motion pattern recognition
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; deep neural networks; parallel programming
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advances in technology have led to the development of various intelligent sensor systems, in which pattern recognition and sensor fusion algorithms play a crucial role in most of the cases. For effective operation of these algorithms, advanced solutions are required in many areas, such as pre-processing, feature extraction, feature selection, classification, state estimation, implementation, etc.
Intelligent sensor systems can be based on signals of various sensor types. Many applications use sensors which provide 2D or 3D data, such as cameras and LiDARs, where computer vision solutions are required. Others apply time-series analysis on signals collected from acoustic sensors, inertial sensors (IMU), magnetometers, etc. Both types or their fusion are widely used in industrial, medical, health, and entertainment applications (e.g., robotics, pose estimation, human–computer interaction, navigation, intelligent transportation systems, activity, and movement analysis, etc.).
The processing can be performed on a central unit or decentralized, where the required computations are done on the embedded system of the units. Since most of the applications require real-time operation, the design of these pattern recognition and sensor fusion algorithms and their implementation on the embedded systems are challenging tasks.
The aim of this Special Issue is to invite high-quality research papers and up-to-date reviews that address challenging topics of sensory signal-based pattern recognition and sensor fusion. Topics of interest include, but are not limited to, the following:
- Sensor calibration, pre-processing of signals;
- Signal and image analysis, feature extraction, and feature selection methods;
- Machine learning, decision-making, and classification methods;
- Sensor fusion methods;
- Implementation of pattern recognition and sensor fusion algorithms on embedded systems;
- Novel applications of sensory signal-based pattern recognition and sensor fusion methods.
Dr. Peter Sarcevic
Prof. Dr. Sašo Tomažič
Dr. Akos Odry
Dr. Sara Stančin
Dr. Gábor Kertész
Guest Editors
Manuscript Submission Information
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Keywords
- pattern recognition
- sensor fusion
- intelligent sensor systems
- machine learning
- classification methods
- pre-processing
- signal and image analysis
- computer vision
- embedded systems
- sensor applications
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