Tactile Sensor Array With Tertiary Leaf-Vein Structures and Position-Encoded Capacity

Jiang, Chunpeng; Zhao, Nan; Shen, Gencai; Lin, Zude; Wang, Xiaolin; Liu, Jingquan

doi:10.1109/jsen.2021.3099016

Cited by 5 publications

(3 citation statements)

References 31 publications

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“…As the surface information normally consists of a large pattern area, this method requires a long duration to complete the signal processing because of the limited efficiency from a single sensor. To solve this problem, sensor array is another popular method to sense and extract the surface information. , When exposed to a surface with embedded patterns, the location-related deformation of an individual sensor is caused by the spatial pattern distributions for signal generation. − By mapping the electrical signals in the array, the surface topological information can then be quickly restored. Compared with the first methodology, this approach obviously improves the efficiency, because all electrical signals are simultaneously collected during the detection process.…”

Section: Introductionmentioning

confidence: 99%

Crosstalk-Free Position Mapping for One-Step Reconstruction of Surface Topological Information via Eigenfrequency-Registered Wearable Interface

Fang,

Ding,

Zhou

et al. 2023

ACS Nano

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Exploring flexible tactile sensors capable of recognizing surface information is significant for the development of virtual reality, artificial intelligence, soft robotics, and human−machine interactions (HMI). However, it is still a challenge for current tactile sensors to efficiently recognize the surface pattern information while maintaining the simplicity of the overall system. In this study, cantilever beam-like magnetized micropillars (MMPs) with height gradients are assembled as a position-registered array for rapid recognition of surface pattern information. After crossing the surface location with convex patterns, the deformed MMPs undergo an intrinsic oscillating process to induce damped electrical signals, which can then be converted to a frequency domain for eigenfrequency extraction. Via precisely defining the specific eigenfrequencies of different MMPs, position mapping is realized in crosstalkfree behavior even though all signals are processed by one communication channel and a pair of electrodes. With a customized LabVIEW program, the surface information (e.g., letters, numbers, and Braille) can be accurately reconstructed by the frequency sequence produced in a single scanning procedure. We expect that the proposed interface can be a convenient and powerful platform for intelligent surface information perception and an HMI system in the future.

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Section: Introductionmentioning

confidence: 99%

Crosstalk-Free Position Mapping for One-Step Reconstruction of Surface Topological Information via Eigenfrequency-Registered Wearable Interface

Fang,

Ding,

Zhou

et al. 2023

ACS Nano

View full text Add to dashboard Cite

show abstract

“…Recent advances in electronics and microelectromechanical system (MEMS) manufacturing have allowed the sophistication of sensors and robotic devices to grow by leaps and bounds [1]- [3]. Robotic hands and prosthetic devices provide robots with humans' ability to interact with the surroundings and restore lost abilities for amputees [3]- [6].…”

Section: Introductionmentioning

confidence: 99%

“…State-of-the-art sensor solutions, from academia and industry, are typically hard to manufacture, expensive, and lacking in temporal as well as spatial resolution [17]- [19]. The majority of the solutions mainly focus on replicating the fingers tips [3], [10], [20], [21] or have sensors covering only a limited part of the hand palm [1]- [3], [22]- [24]. While [25] presents a system with full hand coverage, they use a small number of sensing elements (i.e., 16) and therefore only prove the functionality of the system with seven objects.…”

Section: Introductionmentioning

confidence: 99%