Tactile Senses Control by Contacting a Human Finger with Micro Resist Pattern Arrangements

Kunii, Yako; Kawai, Maki

doi:10.2494/photopolymer.27.691

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…Various research results have been reported towards the development of a regression system for tactile perception. The information to use for regression can be broadly classified into the following two approaches: a model that uses information that can be measured with existing equipment, such as material constants [1] and surface shape [2], [3], and systems that use vibrations obtained from sliding on the target surface using tactile sensors [4], [5], [6], [7]. Regression methods can be broadly classified into those using linear regression [1], [2], [3], [4], [5], [8] or This work was carried out with funding support from the JST-CREST research funding program [grant numbers JPMJCR1531 and JPMJCR20C2] Y. Maeda is with Kagawa University and the National Institute of Technology (KOSEN), Kagawa College, Japan (e-mail: maeda-y@t.kagawanct-ac.jp).…”

Section: Introductionmentioning

confidence: 99%

Neural-Network-Based Tactile Perception System Using Ultrahigh-Resolution Tactile Sensor

Maeda

Tanimoto

Sasayama

et al. 2023

IEEE Trans. Haptics

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In this study, we developed the first tactile perception system for sensory evaluation based on a microelectromechanical systems (MEMS) tactile sensor with an ultrahigh resolution exceeding than that of a human fingertip. Sensory evaluation was performed on 17 fabrics using a semantic differential method with six evaluation words such as "smooth". Tactile signals were obtained at a spatial resolution of 1 µm; the total data length of each fabric was 300 mm. The tactile perception for sensory evaluation was realized with a convolutional neural network as a regression model. The performance of the system was evaluated using data not used for training as unknown fabric. First, we obtained the relationship of the mean squared error (MSE) to the input data length 𝑳. The MSE was 0.27 at 𝑳 = 300 mm. Then, the sensory evaluation and model estimated scores were compared; 89.2% of the evaluation words were successfully predicted at 𝑳 = 300 mm. A system that enables the quantitative comparison of the tactile sensation of new fabrics with existing fabrics has been realized. In addition, the region of the fabric affects each tactile sensation visualized by a heatmap, which can lead to a design policy for achieving the ideal product tactile sensation.

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Section: Introductionmentioning

confidence: 99%

Neural-Network-Based Tactile Perception System Using Ultrahigh-Resolution Tactile Sensor

Maeda

Tanimoto

Sasayama

et al. 2023

IEEE Trans. Haptics

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“…Among the variety products, touch panel is one of a key component for advanced color thin film transistor flat panel display (TFTFPD), which types can be divided into resistive, capacitive, infrared ray, optics, and surface acoustic wave [5]. In respond to the trend of convenience, one glass solution (OGS) is a kind of outstanding method to overcome the problems of panel thickness and response sensitivity.…”

Section: Introductionmentioning

confidence: 99%

Study on Preparation and Photolithography of Negative-work Photosensitive Polyester Acrylate

Hsu

Cheng

2018

J. Photopol. Sci. Technol.

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This study aims to investigate fabrication and photolithography of negative-work photosensitive transparent insulation material for one glass solution (OGS) applying in touch panel. In this work, two reactive monomers, namely, dipentaerythritol hexaacrylate (DPHA) and tri (propylene glycol) diacrylate (TPGDA), were respectively blended with the mixture of 50% 1-hydroxy-cyclohexylphenyl-ketone and 50% benzophenone, and polyester acrylic oligomer in propylene glycol monomethyl ether acetate (PGMEA); and the photolithography of resulted negative-work photosensitive transparent insulation materials with different solid content was determined by characteristic curve and the optical microscope (OM). As shown in the results, it was found that the photolithographic resolution, which is termed by the ratio of line width to line space, is significantly affected by the solid content of as-prepared negative-work photosensitive polymer. Based on 8 µm line width and space at 1 µm film thickness, the photolithographic resolution of photosensitive polyester acrylate containing 19.7 wt% solid content could reach 1.1 after irradiating by 600 mJ/cm 2 ultraviolet visible light and developing by 0.01 wt% KOH solution for 60 seconds in this explore.

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“…Figure 6 shows a chart for recording and pentagon-shaped graph for visualizing the tactile sensing data. As the evaluation, the following five kinds of characteristic properties are defined [8].…”

Section: Tactile Sensing Measurement Testmentioning

confidence: 99%

Application to Artificial Skin of Double Cone Tube Made of Acrylic Resin Formed by Micro Stereolithography

Yamane

Kawai

2017

J. Photopol. Sci. Technol.

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A functional double cone tube (DCT) array with gas trapping and high durability is developed in the application of artificial skin. A stereo-lithography system is employed to fabricate DCT made of acrylic resin. In an aqueous solution, a certain amount of gas can be trapped in the tube due to capillary force balance. Under applying an external load, internal stress is effectively released at the interface between top and base cones. In the tactile sensing investigation, softness and tackiness senses as an artificial skin are felt.

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Tactile Senses Control by Contacting a Human Finger with Micro Resist Pattern Arrangements

Cited by 3 publications

References 6 publications

Neural-Network-Based Tactile Perception System Using Ultrahigh-Resolution Tactile Sensor

Neural-Network-Based Tactile Perception System Using Ultrahigh-Resolution Tactile Sensor

Study on Preparation and Photolithography of Negative-work Photosensitive Polyester Acrylate

Application to Artificial Skin of Double Cone Tube Made of Acrylic Resin Formed by Micro Stereolithography

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