scholarly journals Properties of Tactile Sensors Based on Resistive Ink and the Dimension of Electrodes

2021 ◽  
Author(s):  
Jaromír Volf ◽  
Viktor Novák ◽  
Vladimír Ryženko ◽  
Stanislava Papežová
Keyword(s):  
Pressure Sensors ◽  
Medical Applications ◽  
Tactile Sensors ◽  
Ongoing Research ◽  
Distribution Measurement ◽  
Conductive Inks ◽  
Conductive Rubber ◽  
Original Measurement ◽  
Suitable Combination ◽  
The Given

This chapter presents the ongoing research, which aims to select suitable electrodes for their use in the pressure distribution measurement system Plantograf. In our research, we examine more materials, especially Yokohama conductive rubber CS57-7RSC and also conductive inks, which are represented type DZT-3 K, Graphit 33 and mixture of Loctite-Henkel conductive inks type Loctite 7004Hr and Loctite NCI 7002EC. All materials can be used as a converter between pressure and electrical quantities in the design of planar pressure transduces. We build on our previous works, where were examined the properties of conductive rubber, conductive inks and electrodes. Next part is focused on the newest results of our research. Due to the still incomplete results in the given issue, we decided to perform an extensive and original measurement of a total of 172 combinations of different electrode sizes, the ratio of conductive ink mixtures and the thickness of the applied ink layer. Thanks to this, it will be possible in the future to select a suitable combination of electrodes and inks when designing tactile pressure sensors for industrial or medical applications without the need to perform time-consuming preparatory measurements and exclude unsuitable ink-electrode combinations.

Neuroscience Applications on the Assessments of TV Ads

2017 ◽  
pp. 231-256
Author(s):  
Tuna Çakar ◽  
Kaan Gez
Keyword(s):  
Individual Preference ◽  
Emotional Engagement ◽  
Medical Applications ◽  
Specific Interest ◽  
Neural Signals ◽  
Self Reports ◽  
Related Application ◽  
The Given ◽  
The Brain ◽  
Objective Tool

The progress in neurotechnologies has enabled a potentially better and cheaper analysis for the neural signals not limited to medical applications but influencing several fields from marketing to economics and law to ethics. Since the main targets have been to understand the brain mechanisms better as well as providing useful applications specifically regarding the sector-specific interest, one related application has been about the assessments of TV ads as a complementary and more objective tool than traditional methods that rely on the verbal self-reports and interviews that could be speculative and misleading depending on the given context. For assessing several TV ads within a shorter duration, the use of neuroscientific methods has attracted much interest. This chapter will focus on the current practices with the given constructs for the TV ad research specifically in relation to the practices such as attention, emotional engagement, individual preference, and market success.

scholarly journals Determination of Flow Parameters of a Water Flow Around an AUV Body

Robotics ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 5
Author(s):  
Julian Hoth ◽  
Wojciech Kowalczyk
Keyword(s):  
Water Flow ◽  
Autonomous Underwater Vehicles ◽  
Pressure Sensors ◽  
Underwater Vehicles ◽  
Support Vector ◽  
Navigation Systems ◽  
Pressure Data ◽  
Flow Parameters ◽  
Wide Range ◽  
The Given

Autonomous underwater vehicles (AUVs) have changed the way marine environment is surveyed, monitored and mapped. Autonomous underwater vehicles have a wide range of applications in research, military, and commercial settings. AUVs not only perform a given task but also adapt to changes in the environment, e.g., sudden side currents, downdrafts, and other effects which are extremely unpredictable. To navigate properly and allow simultaneous localisation and mapping (SLAM) algorithms to be used, these effects need to be detected. With current navigation systems, these disturbances in the water flow are not measured directly. Only the indirect effects are observed. It is proposed to detect the disturbances directly by placing pressure sensors on the surface of the AUV and processing the pressure data obtained. Within this study, the applicability of different learning methods for determining flow parameters of a surrounding fluid from pressure on an AUV body are tested. This is based on CFD simulations using pressure data from specified points on the surface of the AUV. It is shown that support vector machines are most suitable for the given task and yield excellent results.

Application of adaptive neural network to localization of objects using pressure array transducer

Robotica ◽  
1996 ◽  
Vol 14 (4) ◽  
pp. 407-414 ◽  
Author(s):  
Anderson Leung ◽  
Shahram Payandeh
Keyword(s):  
Neural Network ◽  
Pattern Recognition ◽  
Sensor Array ◽  
Pressure Sensors ◽  
Object Localization ◽  
Tactile Sensors ◽  
Neural Network Approach ◽  
Array Transducer ◽  
The Neural Network ◽  
Fixed Reference

SUMMARYPattern recognition and object localization, using various sensors such as vision and tactile sensors, are two important areas of research in the application of robotic systems. This paper demonstrates the feasibility of using some relatively inexpensive array of pressure sensors and a neural network approach to achieve object localization and pattern recognition. The sensors that are used are force sensing resistors (FSRs), more specifically, a 16 x 16 array of FSRs. Because of the nonlinearity associated with a FSR, three possible approaches for gathering output from the sensor array are used. The neural network that is used consists of two 2-layer counterpropagation networks (CPNs). One of the CPNs is trained to recognize contact signatures of different objects placed on a fixed reference position on the sensor array.

Visualisation of Diffuser Instabilities in a Wet Gas Compressor

2015 ◽  
Author(s):  
Veronica Ferrara ◽  
Lars E. Bakken
Keyword(s):  
Oil And Gas ◽  
New Technologies ◽  
Dynamic Pressure ◽  
Pressure Sensors ◽  
Petroleum Industry ◽  
Research Programme ◽  
Open Loop ◽  
Ongoing Research ◽  
Wet Gas ◽  
Response Dynamic

The continuous demand for oil and gas pushes the petroleum industry to develop new technologies in order to increase production and exploit existing fields. The wet gas process, based on direct compression of unprocessed well stream subsea is a powerful means to expand the extraction of crude oil and gas and reach remote regions. Consequently centrifugal compressors are key elements that need to be developed in this area. Since no commercial subsea compressors are available and the liquid phase inside the standard process has to be avoided, it is essential to fully understand the machine behaviour, particularly investigate the presence of a gas-liquid mixture. Because of liquid impact, the performance of compressors and consequently the margin of stability may have to be modified. Here, delayed instability inception should be identified. An ongoing research programme is conducted at the Norwegian University of Science and Technology (NTNU) concerning the influence of wet gas on performance and aerodynamic stability. An open loop wet gas test rig is designed and employed in an experimental campaign. The main goal of this study is the visualisation of flow in a vaneless diffuser by means of special windows in Plexiglas, in correspondence with the diffuser and volute. Most attention is focused on the behaviour that leads to unstable phenomena, like stall and surge, in order to expose wet effects. Interactions between the diffuser and volute will also be taken into account. Simultaneously, the analysis will be supported by measurements from high-response dynamic pressure sensors. A fast Fourier transform (FFT) examination will be realised, in order to identify characteristic frequencies of unsteady events.

Piezoresistive pressure sensors for medical applications

1999 ◽  
Author(s):  
Inna Maryamova ◽  
Elena Lavitska ◽  
Igor Kogut ◽  
Alexey Kutrakov
Keyword(s):  
Pressure Sensors ◽  
Medical Applications ◽  
Piezoresistive Pressure Sensors

Partly Disposable Switching and Injection Microvalves for Medical Applications

1999 ◽  
Author(s):  
Hironobu Sato ◽  
Shuichi Shoji ◽  
Eipin Kim ◽  
Keisuke Miura
Keyword(s):  
Pressure Sensors ◽  
High Viscosity ◽  
Medical Applications ◽  
Flow Ratio ◽  
Silicone Membrane ◽  
Switching Valve ◽  
Low Viscosity ◽  
Sensing Systems ◽  
Different Types ◽  
Piezoresistive Pressure Sensors

Abstract Two types of one-inlet and four-outlets pneumatic microvalves for medical applications were fabricated and evaluated. Since the microvalves consist of a separable actuator part and a channel part, the channel part in which the sample liquid are introduced can be partly disposed. Both parts were fabricated using Si and polymer membrane. Two types of polymer membranes of silicone rubber and new cyclized perfluoro polymer (CPFP) were utilized in different types of microvalves for controlling high viscosity and low viscosity samples. In the case of the switching valve using silicone membrane, leakage was less than 0.01 μl/min (inlet pressure of 1mH2O) and the maximum open/closed flow ratio is larger than 105. These microvalves are useful in parallel and multi sensing systems. To achieve the monitoring the pneumatic actuation, integration of piezoresistive pressure sensors on the actuator part was also carried out.

scholarly journals Visual–tactile object recognition of a soft gripper based on faster Region-based Convolutional Neural Network and machining learning algorithm

2020 ◽  
Vol 17 (5) ◽  
pp. 172988142094872
Author(s):  
Chenlei Jiao ◽  
Binbin Lian ◽  
Zhe Wang ◽  
Yimin Song ◽  
Tao Sun
Keyword(s):  
Object Recognition ◽  
Visual Information ◽  
Visual Recognition ◽  
Recognition Accuracy ◽  
Learning Algorithm ◽  
Pressure Sensors ◽  
Tactile Sensors ◽  
Recognition Method ◽  
Tactile Information ◽  
Unknown Object

Object recognition is a prerequisite to control a soft gripper successfully grasping an unknown object. Visual and tactile recognitions are two commonly used methods in a grasping system. Visual recognition is limited if the size and weight of the objects are involved, whereas the efficiency of tactile recognition is a problem. A visual–tactile recognition method is proposed to overcome the disadvantages of both methods in this article. The design and fabrication of the soft gripper considering the visual and tactile sensors are implemented, where the Kinect v2 is adopted for visual information, bending and pressure sensors are embedded to the soft fingers for tactile information. The proposed method is divided into three steps: initial recognition by vision, detail recognition by touch, and a data fusion decision making. Experiments show that the visual–tactile recognition has the best results. The average recognition accuracy of the daily objects by the proposed method is also the highest. The feasibility of the visual–tactile recognition is verified.

scholarly journals Characterization and Application of PVDF and Its Copolymer Films Prepared by Spin-Coating and Langmuir–Blodgett Method

Polymers ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2033 ◽  
Author(s):  
Zerun Yin ◽  
Bobo Tian ◽  
Qiuxiang Zhu ◽  
Chungang Duan
Keyword(s):  
Spin Coating ◽  
Vinylidene Fluoride ◽  
Medical Applications ◽  
Ongoing Research ◽  
Langmuir Blodgett ◽  
Copolymer Films ◽  
The Past ◽  
Β Phase ◽  
Poly Vinylidene Fluoride ◽  
Ε Phase

Poly(vinylidene fluoride) (PVDF) and its copolymers are key polymers, displaying properties such as flexibility and electroactive responses, including piezoelectricity, pyroelectricity, and ferroelectricity. In the past several years, they have been applied in numerous applications, such as memory, transducers, actuators, and energy harvesting and have shown thriving prospects in the ongoing research and commercialization process. The crystalline polymorphs of PVDF can present nonpolar α, ε phase and polar β, γ, and δ phases with different processing methods. The copolymers, such as poly(vinylidene fluoride-trifluoroethylene) (P(VDF-TrFE)), can crystallize directly into a phase analogous to the β phase of PVDF. Since the β phase shows the highest dipole moment among polar phases, many reproducible and efficient methods producing β-phase PVDF and its copolymer have been proposed. In this review, PVDF and its copolymer films prepared by spin-coating and Langmuir–Blodgett (LB) method are introduced, and relevant characterization techniques are highlighted. Finally, the development of memory, artificial synapses, and medical applications based on PVDF and its copolymers is elaborated.

A portable plantar pressure system: Specifications, design, and preliminary results

2020 ◽  
Vol 28 (5) ◽  
pp. 553-560
Author(s):  
Michal Ostaszewski ◽  
Jolanta Pauk ◽  
Kacper Lesniewski
Keyword(s):  
Healthy Volunteer ◽  
Pressure Distribution ◽  
Plantar Pressure ◽  
Pressure Sensors ◽  
Pressure System ◽  
Distribution Measurement ◽  
Plantar Pressure Distribution ◽  
Portable System ◽  
Linearity Error ◽  
The Difference

BACKGROUND: In recent years, there has been an increasing interest in developing in-shoe foot plantar pressure systems. Although such devices are not novel, devising insole devices for gait analysis is still an important issue. OBJECTIVE: The goal of this study is to develop a new portable system for plantar pressure distribution measurement based on a three-axis accelerometer. METHODS: The portable system includes: PJRC Teensy 3.6 microcontroller with 32-bit ARM Cortex-M4 microprocessor with a clock speed of 180 MHz; HC-11 radio modules (transmitter and receiver); a battery; a fixing band; pressure sensors; MPU-9150 inertial navigation module; and FFC tape. The pressure insole is leather-based and consists of seven layers. It is divided into 16 areas and the outcome of the system is data concerning plantar pressure distribution under foot during gait. The system was tested on 22 healthy volunteer subjects, and the data was compared with a commercially available system: Medilogic. RESULT: The SNR value for the proposed sensor is 28.27 dB. For a range of pressure of 30–100 N, the sensitivity is 0.0066 V/N while the linearity error is 0.05. The difference in plantar pressure from both the portable plantar pressure system and Medilogic is not statistically significant. CONCLUSION: The proposed system could be recommended for research applications both inside and outside of a typical gait laboratory.

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