Modelling human body motion using lagrange interpolation

Author(s):  
Egemen Halici ◽  
Erkan Bostanci
2013 ◽  
Author(s):  
Yuichiro Hirose ◽  
Mitsuru Enomoto ◽  
Takashi Sasaki ◽  
Eiichi Yasuda ◽  
Masatoshi Hada

Nano Energy ◽  
2019 ◽  
Vol 56 ◽  
pp. 400-410 ◽  
Author(s):  
Kequan Xia ◽  
Zhiyuan Zhu ◽  
Hongze Zhang ◽  
Chaolin Du ◽  
Jiangming Fu ◽  
...  

Sensors ◽  
2012 ◽  
Vol 12 (5) ◽  
pp. 5791-5814 ◽  
Author(s):  
Alberto Olivares ◽  
Javier Ramírez ◽  
Juan M. Górriz ◽  
Gonzalo Olivares ◽  
Miguel Damas

2012 ◽  
Vol 2 (4) ◽  
pp. 53-59 ◽  
Author(s):  
Sho Yokota ◽  
Hiroshi Hashimoto ◽  
Yasuhiro Ohyama ◽  
Daisuke Chugo ◽  
Jinhua She ◽  
...  

2013 ◽  
Vol 8 (2) ◽  
pp. 73 ◽  
Author(s):  
Alexander Refsum Jensenius ◽  
Rolf Inge Godøy

<p class="author">The paper presents sonomotiongram, a technique for the creation of auditory displays of human body motion based on motiongrams. A motiongram is a visual display of motion, based on frame differencing and reduction of a regular video recording. The resultant motiongram shows the spatial shape of the motion as it unfolds in time, somewhat similar to the way in which spectrograms visualise the shape of (musical) sound. The visual similarity of motiongrams and spectrograms is the conceptual starting point for the sonomotiongram technique, which explores how motiongrams can be turned into sound using &ldquo;inverse FFT&rdquo;. The paper presents the idea of shape-sonification, gives an overview of the sonomotiongram technique, and discusses sonification examples of both simple and complex human motion.</p>


2011 ◽  
Vol 480-481 ◽  
pp. 1329-1334
Author(s):  
Wei Zheng ◽  
Zhan Zhong Cui

An effective non-contact electrostatic detection method is used for human body motion detection. Theoretical analysis and pratical experiments are carried out to prove that this method is effective in the field of human body monitoring, in which a model for human body induced potential by stepping has been proposed. Furthermore, experiment results also prove that it’s feasible to measure the average velocity and route of human body motion by multiple electrodes array. What’s more the real-time velocity and direction of human body motion can be determined by orthogonal electrostatic detector array, and the real-time velocity and direction of human body motion can be obtained within the range of 2 meters.


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