In addition to computing power and improved sensors capable of capturing novel biological signals such as heartbeat and brain waves via EEG or EKG, behavioral analysis and activity recognition are increasingly being used for a variety of purposes from healthcare to law enforcement. An important trend is the development of multimodal biometrics and the increasing use of biometrics, focusing on various behavioral patterns.  In addition to traditional biometric methods such as face recognition, biometric methods also include gesture dynamics, gait features, and behavioral characteristics, as long as the behavior is analyzed to determine the genetic, physical, physiological, behavioral or emotional nature characterizing a specific individual. 

This special issue focuses on new biometric modalities and recent developments in behavioral biometrics that rely on specific data technologies related to the physical, physiological, or behavioral aspects of the human body (including when in motion). Its purpose is to highlight recent advances in the development of human authentication technologies and the categorization of humans based on physiological characteristics (including predicting future behavior). 

Topics to be covered including, but not limited to:

• Machine learning for biometrics
• Machine learning for behavioral recognition
• Biometric Fusion framework
• A comparative study of the existing learning approaches of Behavioral Biometric Datasets

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• behavioral recognition
• gait recognition
• gesture recognition
• soft biometrics
• physiological biometrics
• biometric categorization
• facial attribute recognition
• gender recognition
• age estimation
• model-free approaches