Extracting human behavioral biometrics from robot motions

2021 ◽  
Author(s):  
Long Huang ◽  
Zhen Meng ◽  
Zeyu Deng ◽  
Chen Wang ◽  
Liying Li ◽  
...  
Author(s):  
Jesœs Solano ◽  
Lizzy Tengana ◽  
Alejandra Castelblanco ◽  
Esteban Rivera ◽  
Christian Lopez ◽  
...  

2021 ◽  
Vol 1 (3) ◽  
pp. 470-495
Author(s):  
Md Shopon ◽  
Sanjida Nasreen Tumpa ◽  
Yajurv Bhatia ◽  
K. N. Pavan Kumar ◽  
Marina L. Gavrilova

Biometric de-identification is an emerging topic of research within the information security domain that integrates privacy considerations with biometric system development. A comprehensive overview of research in the context of authentication applications spanning physiological, behavioral, and social-behavioral biometric systems and their privacy considerations is discussed. Three categories of biometric de-identification are introduced, namely complete de-identification, auxiliary biometric preserving de-identification, and traditional biometric preserving de-identification. An overview of biometric de-identification in emerging domains such as sensor-based biometrics, social behavioral biometrics, psychological user profile identification, and aesthetic-based biometrics is presented. The article concludes with open questions and provides a rich avenue for subsequent explorations of biometric de-identification in the context of information privacy.


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