Biomimetic Tactile Sensors with Bilayer Fingerprint Ridges Demonstrating Texture Recognition

Choi, Eugene; Sul, Onejae; Lee, Jusin; Seo, Hojun; Kim, Sun‐Jin; Yeom, Seongoh; Ryu, Gunwoo; Yang, Haoran; Shin, Yoonsoo; Lee, Seung Beck

doi:10.3390/mi10100642

Cited by 17 publications

(9 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previously, special structures have been applied to the sensor for transferring the shear force to the normal force. [ 62–65 ] In this study, because the flat sensor could not interact with the surface structure, a special dome cover was also used to detect the surface information obtained by the shear force measurement. To fabricate this structure, a mold was 3D‐printed (ProJet 3500; 3D Systems, Rock Hill, SC, USA) for the dome, with the radius and height of 1 and 0.5 mm, respectively.…”

Section: Methodsmentioning

confidence: 99%

Tactile Avatar: Tactile Sensing System Mimicking Human Tactile Cognition

et al. 2021

View full text Add to dashboard Cite

As a surrogate for human tactile cognition, an artificial tactile perception and cognition system are proposed to produce smooth/soft and rough tactile sensations by its user's tactile feeling; and named this system as “tactile avatar”. A piezoelectric tactile sensor is developed to record dynamically various physical information such as pressure, temperature, hardness, sliding velocity, and surface topography. For artificial tactile cognition, the tactile feeling of humans to various tactile materials ranging from smooth/soft to rough are assessed and found variation among participants. Because tactile responses vary among humans, a deep learning structure is designed to allow personalization through training based on individualized histograms of human tactile cognition and recording physical tactile information. The decision error in each avatar system is less than 2% when 42 materials are used to measure the tactile data with 100 trials for each material under 1.2N of contact force with 4cm s−1 of sliding velocity. As a tactile avatar, the machine categorizes newly experienced materials based on the tactile knowledge obtained from training data. The tactile sensation showed a high correlation with the specific user's tendency. This approach can be applied to electronic devices with tactile emotional exchange capabilities, as well as advanced digital experiences.

show abstract

Section: Methodsmentioning

confidence: 99%

Tactile Avatar: Tactile Sensing System Mimicking Human Tactile Cognition

et al. 2021

View full text Add to dashboard Cite

show abstract

“…These kinds of characteristics are related to high-frequency vibration, which induces responses from RAIs and RAIIs. Choi et al explored the artificial skin imitating human epidermal fingerprint ridges and the epidermis to distinguish various textures [ 44 ]. Gong et al constructed a pneumatic haptic sensor to detect force, vibration, and slippage based on changes in the pressure of the air bladder, which could perceive objects' softness and roughness [ 45 ].…”

Section: Physical Quantity Recognitionmentioning

confidence: 99%

Human Somatosensory Processing and Artificial Somatosensation

Wang

Yang

2021

Cyborg Bionic Syst

View full text Add to dashboard Cite

In the past few years, we have gained a better understanding of the information processing mechanism in the human brain, which has led to advances in artificial intelligence and humanoid robots. However, among the various sensory systems, studying the somatosensory system presents the greatest challenge. Here, we provide a comprehensive review of the human somatosensory system and its corresponding applications in artificial systems. Due to the uniqueness of the human hand in integrating receptor and actuator functions, we focused on the role of the somatosensory system in object recognition and action guidance. First, the low-threshold mechanoreceptors in the human skin and somatotopic organization principles along the ascending pathway, which are fundamental to artificial skin, were summarized. Second, we discuss high-level brain areas, which interacted with each other in the haptic object recognition. Based on this close-loop route, we used prosthetic upper limbs as an example to highlight the importance of somatosensory information. Finally, we present prospective research directions for human haptic perception, which could guide the development of artificial somatosensory systems.

show abstract

“…Thus, the shear direction can be detected from different current levels. In this study, to increase shear transfer characteristics, we used a PDMS layer with low modulus and an SU-8 ridge structure with high modulus [ 32 ].…”

Section: Device Design and Operating Mechanismmentioning

confidence: 99%

Tactile Interaction Sensor with Millimeter Sensing Acuity

Choi

Kim

Gong

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

In this article we report on a 3 × 3 mm tactile interaction sensor that is able to simultaneously detect pressure level, pressure distribution, and shear force direction. The sensor consists of multiple mechanical switches under a conducting diaphragm. An external stimulus is measured by the deflection of the diaphragm and the arrangement of mechanical switches, resulting in low noise, high reliability, and high uniformity. Our sensor is able to detect tactile forces as small as ~50 mgf along with the direction of the shear force. It also distinguishes whether there is a normal pressure during slip motion. We also succeed in detecting the contact shape and the contact motion, demonstrating potential applications in robotics and remote input interfaces. Since our sensor has a simple structure and its function depends only on sensor dimensions, not on an active sensing material, in comparison with previous tactile sensors, our sensor shows high uniformity and reliability for an array-type integration.

show abstract

Biomimetic Tactile Sensors with Bilayer Fingerprint Ridges Demonstrating Texture Recognition

Cited by 17 publications

References 34 publications

Tactile Avatar: Tactile Sensing System Mimicking Human Tactile Cognition

Tactile Avatar: Tactile Sensing System Mimicking Human Tactile Cognition

Human Somatosensory Processing and Artificial Somatosensation

Tactile Interaction Sensor with Millimeter Sensing Acuity

Contact Info

Product

Resources

About