scholarly journals Localization of Sliding Movements Using Soft Tactile Sensing Systems with Three-axis Accelerometers

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2036 ◽  
Author(s):  
Trinh ◽  
Iwamoto ◽  
Shibuya
Keyword(s):  
Numerical Simulation ◽  
Tactile Sensor ◽  
Sensor System ◽  
Tactile Sensing ◽  
Dynamic Changes ◽  
Sliding Motion ◽  
Sensing Systems ◽  
Morphological Computation ◽  
The Ideal

This paper presents a soft tactile sensor system for the localization of sliding movements on a large contact surface using an accelerometer. The system consists of a silicone rubber base with a chamber covered by a thin silicone skin in which a three-axis accelerometer is embedded. By pressurizing the chamber, the skin inflates, changing its sensitivity to the sliding movement on the skin’s surface. Based on the output responses of the accelerometer, the sensor system localizes the sliding motion. First, we present the idea, design, fabrication process, and the operation principle of our proposed sensor. Next, we created a numerical simulation model to investigate the dynamic changes of the accelerometer’s posture under sliding actions. Finally, experiments were conducted with various sliding conditions. By confirming the numerical simulation, dynamic analysis, and experimental results, we determined that the sensor system can detect the sliding movements, including the sliding directions, velocity, and localization of an object. We also point out the role of pressurization in the sensing system’s sensitivity under sliding movements, implying the ideal pressurization for it. We also discuss its limitations and applicability. This paper reflects our developed research in intelligent integration and soft morphological computation for soft tactile sensing systems.

Morphological computation in tactile sensing: The role of wrinkle

2017 ◽  
Author(s):  
Van Anh Ho ◽  
Hideyasu Yamashita ◽  
Zhongkui Wang ◽  
Shinichi Hirai ◽  
Koji Shibuya
Keyword(s):  
Tactile Sensing ◽  
Morphological Computation

scholarly journals Multi-frame constrained block sparse Bayesian learning for flexible tactile sensing using electrical impedance tomography

2021 ◽  
Author(s):  
Xiaojie Wang
Keyword(s):  
Electrical Impedance Tomography ◽  
Electrical Impedance ◽  
Bayesian Learning ◽  
Reconstruction Algorithm ◽  
Tactile Sensor ◽  
Sensor System ◽  
Tactile Sensing ◽  
Contact Detection ◽  
Sparse Bayesian Learning ◽  
Impedance Tomography

In this paper, we presented a multi-frame constrained block sparse Bayesian learning (MFC-BSBL) reconstruction algorithm to tackle the challenge of poor-quality reconstruction images in electrical impedance tomography (EIT) for tactile sensing. The fundamental idea of MFC-BSBL is to explore the sparsity, intra-frame correlation, and inter-frame correlation of impedance distributions by extending the Bayesian inference framework. To verify the proposed algorithm, we conducted numerical simulations for different cases to identify one, multiple, round, and square targets. The simulation results demonstrated that this method can effectively detect the target positions and shapes by reducing artifacts and noise in the reconstructed images. To demonstrate the application of this approach to real EIT-based tactile sensing, we conducted real-contact detection experiments using the EIT tactile sensor system. Compared with traditional methods, the tactile sensor system using the MFC-BSBL algorithm can achieve accurate contact detection and significantly reduce artifacts and noise.

scholarly journals Novel Tactile Sensor Technology and Smart Tactile Sensing Systems: A Review

Sensors ◽  
2017 ◽  
Vol 17 (11) ◽  
pp. 2653 ◽  
Author(s):  
Liang Zou ◽  
Chang Ge ◽  
Z. Wang ◽  
Edmond Cretu ◽  
Xiaoou Li
Keyword(s):  
Tactile Sensor ◽  
Sensor Technology ◽  
Tactile Sensing ◽  
Sensing Systems

scholarly journals Multi-frame constrained block sparse Bayesian learning for flexible tactile sensing using electrical impedance tomography

2021 ◽  
Author(s):  
Xiaojie Wang
Keyword(s):  
Electrical Impedance Tomography ◽  
Electrical Impedance ◽  
Bayesian Learning ◽  
Reconstruction Algorithm ◽  
Tactile Sensor ◽  
Sensor System ◽  
Tactile Sensing ◽  
Contact Detection ◽  
Sparse Bayesian Learning ◽  
Impedance Tomography

In this paper, we presented a multi-frame constrained block sparse Bayesian learning (MFC-BSBL) reconstruction algorithm to tackle the challenge of poor-quality reconstruction images in electrical impedance tomography (EIT) for tactile sensing. The fundamental idea of MFC-BSBL is to explore the sparsity, intra-frame correlation, and inter-frame correlation of impedance distributions by extending the Bayesian inference framework. To verify the proposed algorithm, we conducted numerical simulations for different cases to identify one, multiple, round, and square targets. The simulation results demonstrated that this method can effectively detect the target positions and shapes by reducing artifacts and noise in the reconstructed images. To demonstrate the application of this approach to real EIT-based tactile sensing, we conducted real-contact detection experiments using the EIT tactile sensor system. Compared with traditional methods, the tactile sensor system using the MFC-BSBL algorithm can achieve accurate contact detection and significantly reduce artifacts and noise.

Tactile Sensing Using Contact Resistance in MWNT/PDMS Composites

2012 ◽  
Vol 1410 ◽  
Author(s):  
J. Ian McKelvey ◽  
Arpad Kormendy ◽  
L.P. Felipe Chibante
Keyword(s):  
Contact Resistance ◽  
Single Layer ◽  
Tactile Sensor ◽  
Force Sensor ◽  
Fast Response ◽  
Tactile Sensing ◽  
Polydimethyl Siloxane ◽  
Sensor Material ◽  
Sensing Systems ◽  
Finger Pressure

ABSTRACTA carbon nanotube polymer composite has been used to develop a flexible multi-touch tactile sensor device. Rather than employing the inherent bulk piezoresistive properties of the composite, the contact resistance between polymer and electrode was exploited to achieve finger pressure measurement with fast response. We have synthesized a series of multi-walled nanotube (MWNT) silicone composites to test the feasibility of a force sensor based on the change in surface contact resistance as a function of applied force. A single layer MWNT/polydimethyl-siloxane (PDMS) composite in the range of 1.5-3.0 % w/w nanotubes was employed as a force sensor material in an array of electrodes. It was determined that sensors based on these materials are viable as tactile sensing systems for finger-touch forces in the range of 1-100 N.

scholarly journals Online Morphological Adaptation for Tactile Sensing Augmentation

2021 ◽  
Vol 8 ◽  
Author(s):  
Josie Hughes ◽  
Luca Scimeca ◽  
Perla Maiolino ◽  
Fumiya Iida
Keyword(s):  
Classification Accuracy ◽  
Object Classification ◽  
Tactile Sensor ◽  
Tactile Sensing ◽  
Morphological Adaptation ◽  
Sensor Structure ◽  
Morphology And Structure ◽  
Morphological Computation ◽  
Selection Of

Sensor morphology and structure has the ability to significantly aid and improve tactile sensing capabilities, through mechanisms such as improved sensitivity or morphological computation. However, different tactile tasks require different morphologies posing a challenge as to how to best design sensors, and also how to enable sensor morphology to be varied. We introduce a jamming filter which, when placed over a tactile sensor, allows the filter to be shaped and molded online, thus varying the sensor structure. We demonstrate how this is beneficial for sensory tasks analyzing how the change in sensor structure varies the information that is gained using the sensor. Moreover, we show that appropriate morphology can significantly influence discrimination, and observe how the selection of an appropriate filter can increase the object classification accuracy when using standard classifiers by up to 28%.

Can trust become a factor of economic growth? Dynamic changes in the level of trust of Russian youth

2020 ◽  
pp. 92-107 ◽  
Author(s):  
A. I. Bakhtigaraeva ◽  
A. A. Stavinskaya
Keyword(s):  
Institutional Environment ◽  
Negative Effects ◽  
Dynamic Changes ◽  
Generalized Trust ◽  
Level Of Education ◽  
Advantages And Disadvantages ◽  
The Future ◽  
Analysis Of Dynamics

The article considers the role of trust in the economy, the mechanisms of its accumulation and the possibility of using it as one of the growth factors in the future. The advantages and disadvantages of measuring the level of generalized trust using two alternative questions — about trusting people in general and trusting strangers — are analyzed. The results of the analysis of dynamics of the level of generalized trust among Russian youth, obtained within the study of the Institute for National Projects in 10 regions of Russia, are presented. It is shown that there are no significant changes in trust in people in general during the study at university. At the same time, the level of trust in strangers falls, which can negatively affect the level of trust in the country as a whole, and as a result have negative effects on the development of the economy in the future. Possible causes of the observed trends and the role of universities are discussed. Also the question about the connection between the level of education and generalized trust in countries with different quality of the institutional environment is raised.

They think they find themselves: radical violence and narcissistic-identity suffering

2019 ◽  
Vol 1 (1) ◽  
pp. 21-31 ◽  
Author(s):  
Louis Brunet
Keyword(s):  
Lone Wolf ◽  
The Creation ◽  
Ideal Ego ◽  
Group Regression ◽  
The Ideal

This article proposes a model of individual violent radicalisation leading to acts of terrorism. After reviewing the role of group regression and the creation of group psychic apparatus, the article will examine how violent radicalisation, by the reversal of the importance of the superego and the ideal ego, serves to compensate the narcissistic identity suffering by “lone wolf” terrorists.

Mereka yang Tidak Dibayar Tinggi: Ibuisme, Taman Kanak-kanak, dan Kampung di Indramayu

2018 ◽  
Vol 3 (2) ◽  
pp. 121
Author(s):  
Mochammad Arief Wicaksono
Keyword(s):  
Kindergarten Teachers ◽  
New Order ◽  
The Family ◽  
Role Of Women ◽  
Community Pressure ◽  
The Village ◽  
Depth Interviews ◽  
The Ideal

The ideology of state-ibuism has always been interwoven with how the New Order regime until nowadays government constructing the “ideal” role of women in the family and community through the PKK (Pembinaan Kesejahteraan Keluarga) organization. However, in Cangkring Village, Indramayu, the ideology of ibuism works not because of the massive government regulating the role of women through the PKK organization, but it is possible because of the structure of the kampung community itself. Through involved observations and in-depth interviews about a kindergarten in the village, a group of housewives who dedicated themselves to teaching in kindergarten were met without getting paid high. From these socio-cultural phenomenons, this paper will describe descriptively and analytically that housewives in the Cangkring village are willing to become kindergarten teachers because of their moral burden as part of the warga kampung and also from community pressure from people who want their children to be able to read and write.

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