Sensor-Based Behavioral Biometrics
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 20 August 2024 | Viewed by 1365
Special Issue Editors
Interests: sensor data processing; identification; data and information fusion; sensor networks; computer networks, biometrics
Special Issue Information
Dear Colleagues,
Behavioral biometrics is a subfield of the science of personal identification. The main goal is to build a unique pattern of behavior of a certain type of activity of a person by which they can be identified. Usually, the considered activities are physical and cognitive. In the broader sense, however, biosignals can also be added as a reflection of the functioning of certain human organs. Of interest are the individual gait or the manner of walking, gesturing, speed and intonation of speaking and the manner of handling various devices and tools, such as smartphones, keyboards, computer mouse, etc. Among the cognitive ones, we can count the movement of the eyes when perceiving textual information, searching for an object in a scene, searching for mistakes or repetitions, counting certain types of objects, the way of working on the Internet, etc. In the field of biosignals, there are already developments for biometrics based on eye movement, ECG and EEG signals, human breathing, etc.
It is interesting to note that in a number of cases, information concerning individual behavior is already available (usually recorded by the digital device we work with) and only needs to be subjected to additional processing in order to make the identification.
Behavioral biometrics can be seen as a powerful additional means of identification. With the development of various methods of behavioral biometrics, it is expected that in the near future, it will find a place in almost all digital devices and helps prevent different types of fraud.
Dr. Kiril Alexiev
Dr. Virginio Cantoni
Guest Editors
Manuscript Submission Information
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Keywords
- sensors/sensing
- biometrics
- biometric recognition
- biosignal
- ECG/EEG/EMG/EOG signal sensing
- biometric systems
