Whole-body tactile sensing through a force sensor using soft materials in contact areas

Tsuji, Toshiaki; Kurita, Naoyuki; Sakaino, Sho

doi:10.1186/s40648-014-0011-x

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…The results show that the amount of hysteresis error decreases as the cycles increase. Hysteresis error is affected by characteristics of the structural layer material and the applicable range of the structural layer displacement of the sensor sample. − The applicable range of displacement depends on the air-gap thickness. As shown in Figure c, the average air-gap thickness values for 0, 2000, 4000, 6000 cycles are 104.2, 99.8, 106.1, and 103.4 μm, respectively.…”

Section: Results and Discussionmentioning

confidence: 99%

Fabrication and Characterization of Roll-to-Roll-Coated Cantilever-Structured Touch Sensors

Lee

2020

ACS Appl. Mater. Interfaces

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It is common in the field of printed electronics that polydimethylsiloxane (PDMS) be used as a dielectric layer for capacitive sensors because of its high elasticity and restoration force. However, capacitive sensors with the PDMS dielectric layer have a lower sensitivity than those with an air-gap structure that has been fabricated by the conventional micro-electromechanical system (MEMS) process. This paper presents a productive method for fabricating air-gap structures for touch sensors by roll-to-roll slot-die coating. The air-gap is formed by coating and removing a sacrificial layer. Cantilever-structured capacitive touch sensors with an air-gap are fabricated as follows: First, the bottom electrode, the dielectric layer, and the poly(vinyl alcohol) (PVA) sacrificial layer are roll-to-roll slot-die-coated on a flexible substrate. In addition, the spacer layer is spin-coated. On the sacrificial and spacer layers, the top electrode and structural layer are formed by spin-coating. Then, the air-gap and cantilever structure are made by removing the sacrificial layer in water. The cantilever-structured sensor samples are examined in terms of sensitivity, hysteresis, and repeatability. In particular, the electrical performance of the samples is compared to those with the PDMS dielectric layer. Experimental results show that the cantilever-structured sensor samples have significantly higher sensitivity compared to those with the PDMS dielectric layer.

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Section: Results and Discussionmentioning

confidence: 99%

Fabrication and Characterization of Roll-to-Roll-Coated Cantilever-Structured Touch Sensors

Lee

2020

ACS Appl. Mater. Interfaces

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“…Other approaches include radio-frequency identification tags for sensing touch events and localization [18], inertial measurement unit sensors for tracking fingertips and recognizing gestures [19], and methods utilizing the propagation of acoustic waves in solid materials [20]. Multi-axial force sensors can also turn objects such as furniture into touch sensitive interfaces [21][22][23]. Furthermore, a method based on spray coating conductive substances can be easily applied to objects with complex shapes for forming a touch-sensitive surface [6,7,24].…”

Section: Introductionmentioning

confidence: 99%

One-touch calibration of hum-noise-based touch sensor for unknown users utilizing models trained by different users

et al. 2022

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Hum-noise-based touch sensors (HumTouch) are capable of recognizing human touch on semiconductive materials using the current leaking from the finger to the surface. Thus far, calibration for these hum-noise-based touch sensors has been performed for individual users because of the individual differences in hum-driven electric currents in human bodies. However, for applications designed for unknown users, time-consuming calibration for individual users is not preferred, and a new user should be able to use the sensor immediately. For this purpose, we propose a new calibration method for HumTouch. In this method, learning datasets collected from multiple people and a few extra samples from a new user are collectively used to establish a touch localization estimator. The estimator is computed using the kernel regression method with weighted samples from the new user. For a 20 $$\times $$ × 18 cm$$^2$$ 2 paper, the mean localization error is reduced from 1.24 cm to 0.90 cm with only one sample from the new user. Hence, a new user can establish a semipersonalized localization estimator by touching only one point on the surface. This method improves the localization performance of HumTouch sensors in an easy-to-access manner.

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Intrinsic Contact Sensing for Touch Interface With Movable Structure

Tsuji

Seki

Sakaino

2017

IEEE Trans. Ind. Electron.

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Whole-body tactile sensing through a force sensor using soft materials in contact areas

Cited by 3 publications

References 20 publications

Fabrication and Characterization of Roll-to-Roll-Coated Cantilever-Structured Touch Sensors

Fabrication and Characterization of Roll-to-Roll-Coated Cantilever-Structured Touch Sensors

One-touch calibration of hum-noise-based touch sensor for unknown users utilizing models trained by different users

Intrinsic Contact Sensing for Touch Interface With Movable Structure

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