Miniaturization of variable capacitance type multi-point pressure sensor used for myoelectric hand

Author(s):  
Junya TSUEDA ◽  
Kazushige MAGATANI
2013 ◽  
Vol 325-326 ◽  
pp. 765-768
Author(s):  
Sheng Bing Yang ◽  
Shuai Wang ◽  
Yan Xia Su ◽  
Feng Xu ◽  
Zhen Zhen Li

The engine lubrication system plays an important role in the engine working process. Engine electronic oil pressure sensor based on piezoresistor pressure sensor MEMS with contactless measure technology is designed in this paper. This sensor includes a signal disposal chip which provides zero point pressure compensation, temperature compensation and sensitivity compensation and a chip which is used to adjust the duty cycle according to the output voltage of the signal disposal chip. The experiments show that the Engine electronic oil pressure sensor works well with excellent characteristic.


1984 ◽  
Vol 106 (3) ◽  
pp. 231-235
Author(s):  
T. M. Drzewiecki

This paper presents several new developments in fluidic circuit design. The use of orifices and capillaries, as input and feedback resistors, and vice-versa, in an operational amplifier circuit is shown to result in a scaler whose gain varies either directly or inversely in proportion to kinematic viscosity. When operating on a temperature sensitive gainblock this scalar can be used to compensate for the effects of variable ambient temperature. The orifice formed by the space between a jet and a solid wall is a pressure sensitive resistance that is used as the controlling element in a gain changer and an automatically null-balanced Wheatstone bridge. In a novel use of a laminar proportional amplifier (LPA), the nonlinear saturation characteristic is used to linearize inversely nonlinear sensor and circuit outputs. Finally a set-point pressure sensor, that is a highly asymmetric LPA, is described that develops a high differential output pressure as a function of power jet pressure which can be some set-point pressure. By using this device as a pressure sensor, an ultra-quiet, high suppression performance pressure regulator has been built and demonstrated.


2011 ◽  
Vol 5 (1) ◽  
pp. 110-115 ◽  
Author(s):  
Nadezhda A Sazonova ◽  
Raymond Browning ◽  
Edward S. Sazonov

Bodyweight (BW) is an essential outcome measure for weight management and is also a major predictor in the estimation of daily energy expenditure (EE). Many individuals, particularly those who are overweight, tend to underreport their BW, posing a challenge for monitors that track physical activity and estimate EE. The ability to automatically estimate BW can potentially increase the practicality and accuracy of these monitoring systems. This paper investigates the feasibility of automatically estimating BW and using this BW to estimate energy expenditure with a footwear-based, multisensor activity monitor. The SmartShoe device uses small pressure sensors embedded in key weight support locations of the insole and a heel-mounted 3D accelerometer. Bodyweight estimates for 9 subjects are computed from pressure sensor measurements when an automatic classification algorithm recognizes a standing posture. We compared the accuracy of EE prediction using estimated BW compared to that of using the measured BW. The results show that point pressure measurement is capable of providing rough estimates of body weight (root-mean squared error of 10.52 kg) which in turn provide a sufficient replacement of manually-entered bodyweight for the purpose of EE prediction (root-mean squared error of 0.7456 METs vs. 0.6972 METs). Advances in the pressure sensor technology should enable better accuracy of body weight estimation and further improvement in accuracy of EE prediction using automatic BW estimates.


2021 ◽  
Vol 68 (2) ◽  
pp. 55-64
Author(s):  
Makoto Nakauma ◽  
Akira Ikegami ◽  
Takahiro Funami ◽  
Akihide Shibata ◽  
Mitsuru Higashimori

2006 ◽  
Vol 175 (4S) ◽  
pp. 440-441
Author(s):  
Rodolfo B. Reis ◽  
Antonio A. Rodrigues ◽  
Adauto Cologna ◽  
Haylton J. Suaid ◽  
Antonio C.P. Martins ◽  
...  

2005 ◽  
Vol 173 (4S) ◽  
pp. 351-352
Author(s):  
Nilson A. Salas ◽  
George T. Somogyi ◽  
Bryce H. Vincent ◽  
Timothy B. Boone ◽  
Christopher P. Smith

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