A MEMS inertia sensor with Brownian noise of below 50 nG/√Hz by multi-layer metal technology

2016 ◽  
Author(s):  
Daisuke Yamane ◽  
Toshifumi Konishi ◽  
Hiroshi Toshiyoshi ◽  
Kazuya Masu ◽  
Katsuyuki Machida
Keyword(s):  
Brownian Noise ◽  
Inertia Sensor

An Evaluation Method of Brownian Noise in Highly Sensitive Capacitive Sensors

2015 ◽  
Vol 135 (4) ◽  
pp. 142-143 ◽  
Author(s):  
Daisuke Yamane ◽  
Toshifumi Konishi ◽  
Takaaki Matsushima ◽  
Shota Kamei ◽  
Kazuya Masu ◽  
...  
Keyword(s):  
Evaluation Method ◽  
Capacitive Sensors ◽  
Brownian Noise ◽  
Highly Sensitive

Inertia sensor-based guidance system for upperlimb posture correction

2013 ◽  
Vol 35 (2) ◽  
pp. 269-276 ◽  
Author(s):  
Z.Q. Ding ◽  
Z.Q. Luo ◽  
A. Causo ◽  
I.M. Chen ◽  
K.X. Yue ◽  
...  
Keyword(s):  
Guidance System ◽  
Inertia Sensor

Electromagnetic damped inertia sensor

1990 ◽  
Vol 88 (3) ◽  
pp. 1669-1669
Author(s):  
John A. Ireland
Keyword(s):  
Inertia Sensor

513 Study on position estimation of the moving subject using an inertia sensor

2014 ◽  
Vol 2014.52 (0) ◽  
pp. _513-1_-_513-3_
Author(s):  
Takayuki YATSUZUKA ◽  
Yoshio INOUE ◽  
Kyoko SHIBATA ◽  
Hikaru TAMURA
Keyword(s):  
Position Estimation ◽  
Inertia Sensor

On modes of long-range dependence

2002 ◽  
Vol 39 (4) ◽  
pp. 882-888 ◽  
Author(s):  
C. C. Heyde
Keyword(s):  
Long Range ◽  
Weak Dependence ◽  
Risky Asset ◽  
Long Range Dependence ◽  
Brownian Noise ◽  
Fractional Brownian Noise

This paper aims at enhancing the understanding of long-range dependence (LRD) by focusing on mechanisms for generating this dependence, namely persistence of signs and/or persistence of magnitudes beyond what can be expected under weak dependence. These concepts are illustrated through a discussion of fractional Brownian noise of index H ∈ (0,1) and it is shown that LRD in signs holds if and only if ½ < H < 1 and LRD in magnitudes if and only if ¾ ≤ H < 1. An application to discrimination between two risky asset finance models, the FATGBM model of Heyde and the multifractal model of Mandelbrot, is given to illustrate the use of the ideas.

scholarly journals Implementation of Human-Machine Synchronization Control for Active Rehabilitation Using an Inertia Sensor

Sensors ◽  
2012 ◽  
Vol 12 (12) ◽  
pp. 16046-16059 ◽  
Author(s):  
Zhibin Song ◽  
Shuxiang Guo ◽  
Nan Xiao ◽  
Baofeng Gao ◽  
Liwei Shi
Keyword(s):  
Synchronization Control ◽  
Active Rehabilitation ◽  
Inertia Sensor
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