Biometric signal processing at radar remote diagnostics of cardio-respiratory human activity

Author(s):  
V. F. Manoylov ◽  
J. N. Khomenko ◽  
N. F. Khomenko
Sensors ◽  
2017 ◽  
Vol 17 (7) ◽  
pp. 1622 ◽  
Author(s):  
Amir Servati ◽  
Liang Zou ◽  
Z. Wang ◽  
Frank Ko ◽  
Peyman Servati

2019 ◽  
Vol 15 (6) ◽  
pp. 155014771985398 ◽  
Author(s):  
Lourdes Martínez-Villaseñor ◽  
Hiram Ponce

Human activitiy recognition deals with the integration of sensing and reasoning aiming to understand better people’s actions. Moreover, it plays an important role in human interaction, human–robot interaction, and brain–computer interaction. When these approaches have to be developed, different efforts from signal processing and artificial intelligence are considered. In that sense, this article aims to present a concise review of signal processing in human activitiy recognition systems and describe two examples and applications both in human activity recognition and robotics: human–robot interaction and socialization, and imitation learning in robotics. In addition, it presents ideas and trends in the context of human activity recognition for human–robot interaction that are important when processing signals within that systems.


Author(s):  
Jean-Luc Starck ◽  
Fionn Murtagh ◽  
Jalal Fadili
Keyword(s):  

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