Evaluation of Microelectromechanical System Gyroscope and Accelerometer in the Object Orientation System Using Complementary Filter

2021 ◽  
Author(s):  
Zaw Myo Naing ◽  
Schagin Anatolii ◽  
Htet Soe Paing ◽  
Le Vinh Thang
Keyword(s):  
Object Orientation ◽  
Microelectromechanical System ◽  
Complementary Filter ◽  
Orientation System

Animal Recognition and Eye Movements

2010 ◽  
Vol 57 (2) ◽  
pp. 117-125 ◽  
Author(s):  
Toby J. Lloyd-Jones ◽  
Juergen Gehrke ◽  
Jason Lauder
Keyword(s):  
Eye Movements ◽  
Response Times ◽  
Real Life ◽  
Object Orientation ◽  
Decision Task ◽  
Line Drawings ◽  
Object Decision ◽  
Individual Features ◽  
And Performance

We assessed the importance of outline contour and individual features in mediating the recognition of animals by examining response times and eye movements in an animal-object decision task (i.e., deciding whether or not an object was an animal that may be encountered in real life). There were shorter latencies for animals as compared with nonanimals and performance was similar for shaded line drawings and silhouettes, suggesting that important information for recognition lies in the outline contour. The most salient information in the outline contour was around the head, followed by the lower torso and leg regions. We also observed effects of object orientation and argue that the usefulness of the head and lower torso/leg regions is consistent with a role for the object axis in recognition.

The Generation of the Components Meta-Models of an E-Orientation System Using the WSDL-UML Transformation

2018 ◽  
Author(s):  
Jihad Adib ◽  
Hicham Moutachaouik ◽  
Abdelaziz Marzak ◽  
Mustapha Hain
Keyword(s):  
Orientation System

scholarly journals Displacement Estimation Based on Optical and Inertial Sensor Fusion

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1390
Author(s):  
Tomasz Ursel ◽  
Michał Olinski
Keyword(s):  
Sensor Fusion ◽  
Inertial Sensor ◽  
External Disturbance ◽  
Linear Displacement ◽  
Measuring System ◽  
Displacement Estimation ◽  
Mems Accelerometer ◽  
Pedestrian Navigation ◽  
Complementary Filter ◽  
Optical Flow Sensor

This article aims to develop a system capable of estimating the displacement of a moving object with the usage of a relatively cheap and easy to apply sensors. There is a growing need for such systems, not only for robots, but also, for instance, pedestrian navigation. In this paper, the theory for this idea, including data postprocessing algorithms for a MEMS accelerometer and an optical flow sensor (OFS), as well as the developed complementary filter applied for sensor fusion, are presented. In addition, a vital part of the accelerometer’s algorithm, the zero velocity states detection, is implemented. It is based on analysis of the acceleration’s signal and further application of acceleration symmetrization, greatly improving the obtained displacement. A test stand with a linear guide and motor enabling imposing a specified linear motion is built. The results of both sensors’ testing suggest that the displacement estimated by each of them is highly correct. Fusion of the sensors’ data gives even better outcomes, especially in cases with external disturbance of OFS. The comparative evaluation of estimated linear displacements, in each case related to encoder data, confirms the algorithms’ operation correctness and proves the chosen sensors’ usefulness in the development of a linear displacement measuring system.

scholarly journals A Novel 3D Printed Hollow Microneedle Microelectromechanical System for Controlled, Personalised Transdermal Drug Delivery

2020 ◽  
pp. 101815
Author(s):  
Sophia N. Economidou ◽  
Md. Jasim Uddin ◽  
Manuel J. Marques ◽  
Dennis Douroumis ◽  
Wan Ting Sow ◽  
...  
Keyword(s):  
Drug Delivery ◽  
Transdermal Drug Delivery ◽  
Microelectromechanical System ◽  
Hollow Microneedle ◽  
3D Printed

scholarly journals Integrating Resonator to Enhance Magnetometer Microelectromechanical System Implementation with ASIC Compatible CMOS 0.18 μm Process

Micromachines ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 635
Author(s):  
Chih-Hsuan Lin ◽  
Chao-Hung Song ◽  
Kuei-Ann Wen
Keyword(s):  
Resonant Frequency ◽  
Tuning Range ◽  
Dynamic Range ◽  
Ambient Pressure ◽  
Readout Circuit ◽  
Microelectromechanical System ◽  
Correlated Double Sampling ◽  
Driving Current ◽  
Mems Oscillator ◽  
Oscillation Characteristics

In this study, a multi-function microelectromechanical system (MEMS) was integrated with a MEMS oscillator, using the resonant frequency oscillation characteristics of the oscillator to provide the Lorentz current of the magnetometer to enhance a large dynamic range of reading, which eliminates the off-chip clock and current generator. The resonant frequency can be adjusted by adjusting the bias voltage of the oscillator to further adjust the sensitivity of the magnetometer. With the mechanical Q value characteristic, a great dynamic range can be achieved. In addition, using the readout circuit of the nested chopper and correlated double-sampling (CDS) to reduce the noise and achieve a smaller resolution, the calibration circuit compensates for errors caused by the manufacturing process. The frequency of the tuning range of the proposed structure is 17,720–19,924 Hz, and the tuning range of the measurement result is 110,620.36 ppm. The sensitivities of the x-, y-, and z-axes of the magnetometer with driving current of 2 mA are 218.3, 74.33, and 7.5 μV/μT for ambient pressure of 760 torr. The resolutions of the x-, y-, and z-axes of the magnetometer with driving current of 2 mA are 3.302, 9.69, and 96 nT/√Hz for ambient pressure of 760 torr.

Sign in / Sign up

Export Citation Format

Share Document