Radar-Based Efficient Gait Classification using Gaussian Prototypical Networks

Author(s):  
Usman Niazi ◽  
Souvik Hazra ◽  
Avik Santra ◽  
Robert Weigel
2020 ◽  
pp. 1-1
Author(s):  
Haobo Li ◽  
Ajay Mehul ◽  
Julien Le Kernec ◽  
Sevgi Z. Gurbuz ◽  
Francesco Fioranelli

Author(s):  
Nils Poschadel ◽  
Sanam Moghaddamnia ◽  
Javier Conte Alcaraz ◽  
Marc Steinbach ◽  
Jurgen Peissig

2017 ◽  
pp. 95-119
Author(s):  
Fok Hing Chi Tivive ◽  
Abdesselam Bouzerdoum ◽  
Bijan G. Mobasseri

2021 ◽  
Vol 18 (4) ◽  
pp. 172988142110362
Author(s):  
Zelin Huang ◽  
Zhangguo Yu ◽  
Xuechao Chen ◽  
Qingqing Li ◽  
Libo Meng ◽  
...  

Knee-stretched walking is considered to be a human-like and energy-efficient gait. The strategy of extending legs to obtain vertical center of mass trajectory is commonly used to avoid the problem of singularities in knee-stretched gait generation. However, knee-stretched gait generation utilizing this strategy with toe-off and heel-strike has kinematics conflicts at transition moments between single support and double support phases. In this article, a knee-stretched walking generation with toe-off and heel-strike for the position-controlled humanoid robot has been proposed. The position constraints of center of mass have been considered in the gait generation to avoid the kinematics conflicts based on model predictive control. The method has been verified in simulation and validated in experiment.


2005 ◽  
Vol 27 (11) ◽  
pp. 1820-1825 ◽  
Author(s):  
M.C. Mazzaro ◽  
M. Sznaier ◽  
O. Camps
Keyword(s):  

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