A tactile sensor based on piezoresistive effect and electromagnetic induction

Mo, Yuming; Han, Haijun; Liu, Yan; Wang, Xiaolong; D, Hu; Zhang, Jiawei; Wang, Yuan

doi:10.1016/j.sna.2022.113716

Cited by 12 publications

(3 citation statements)

References 17 publications

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“…Curve-fitting models analyze different data points to establish relationships between variables, aiding in predictions and understanding patterns, with effectiveness depending on data quality and proper model selection [ 27 , 28 ]. In the current study, a polynomial curve-fitting model was used to correct the hysteresis nonlinearity of the tactile sensor.…”

Section: Modeling the Hysteresis Nonlinearity In Conductive Fiber-bas...mentioning

confidence: 99%

Modified Nonlinear Hysteresis Approach for a Tactile Sensor

Abdul-Hussain,

Holderbaum,

Theodoridis

et al. 2023

Sensors

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Soft tactile sensors based on piezoresistive materials have large-area sensing applications. However, their accuracy is often affected by hysteresis which poses a significant challenge during operation. This paper introduces a novel approach that employs a backpropagation (BP) neural network to address the hysteresis nonlinearity in conductive fiber-based tactile sensors. To assess the effectiveness of the proposed method, four sensor units were designed. These sensor units underwent force sequences to collect corresponding output resistance. A backpropagation network was trained using these sequences, thereby correcting the resistance values. The training process exhibited excellent convergence, effectively adjusting the network’s parameters to minimize the error between predicted and actual resistance values. As a result, the trained BP network accurately predicted the output resistances. Several validation experiments were conducted to highlight the primary contribution of this research. The proposed method reduced the maximum hysteresis error from 24.2% of the sensor’s full-scale output to 13.5%. This improvement established the approach as a promising solution for enhancing the accuracy of soft tactile sensors based on piezoresistive materials. By effectively mitigating hysteresis nonlinearity, the capabilities of soft tactile sensors in various applications can be enhanced. These sensors become more reliable and more efficient tools for the measurement and control of force, particularly in the fields of soft robotics and wearable technology. Consequently, their widespread applications extend to robotics, medical devices, consumer electronics, and gaming. Though the complete elimination of hysteresis in tactile sensors may not be feasible, the proposed method effectively modifies the hysteresis nonlinearity, leading to improved sensor output accuracy.

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Section: Modeling the Hysteresis Nonlinearity In Conductive Fiber-bas...mentioning

confidence: 99%

Modified Nonlinear Hysteresis Approach for a Tactile Sensor

Abdul-Hussain,

Holderbaum,

Theodoridis

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…Flexible 3D force sensors are capable of detecting comprehensive and accurate mechanical information in 3D space [9][10][11]. Thus, they can be used for detecting the texture and slip of objects [12,13].…”

Section: Introductionmentioning

confidence: 99%

Flexible Three-Dimensional Force Tactile Sensor Based on Velostat Piezoresistive Films

Zhang,

Zeng,

Wang

et al. 2024

Micromachines

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The development of a high-performance, low-cost, and simply fabricated flexible three-dimensional (3D) force sensor is essential for the future development of electronic skins suitable for the detection of normal and shear forces for several human motions. In this study, a sandwich-structured flexible 3D force tactile sensor based on a polyethylene-carbon composite material (velostat) is presented. The sensor has a large measuring range, namely, 0–12 N in the direction of the normal force and 0–2.6 N in the direction of the shear force. For normal forces, the sensitivity is 0.775 N−1 at 0–1 N, 0.107 N−1 between 1 and 3 N, and 0.003 N−1 at 3 N and above. For shear forces, the measured sensitivity is 0.122 and 0.12 N−1 in x- and y-directions, respectively. Additionally, the sensor exhibits good repeatability and stability after 2500 cycles of loading and releasing. The response and recovery times of the sensor are as fast as 40 and 80 ms, respectively. Furthermore, we prepared a glove-like sensor array. When grasping the object using the tactile glove, the information about the force applied to the sensing unit can be transmitted through a wireless system in real-time and displayed on a personal computer (PC). The prepared flexible 3D force sensor shows broad application prospects in the field of smart wearable devices.

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“…The sensor can use the output voltage of the induction coil to recognize the sliding to detect shear force; the maximal cross-sensitivity of the sensor is ≈4.7%, and the maximal hysteresis is 3.3%. [40] Wang et al designed a novel tactile sensor comprising four planar coils and a single conductive film. This sensor can measure triaxial forces by measuring inductance changes, and achieve a force measurement resolution of 0.3 mN on each axis (a few mN for normal force and 10-30 mN for shear force).…”

Section: Introductionmentioning

confidence: 99%

Flexible Electromagnetic Tactile Sensor Based on Double‐Layer High‐Density MEMS Coils and Tilted Magnetic Column Array

Liu,

Hou,

Liu

et al. 2024

Adv Materials Technologies

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With the rapid development of wearable devices, tactile sensors have received extensive attention as supplements to vision and hearing. However, it remains challenging for a single tactile sensor to generate distinguishable electrical signals when receiving mechanical stimuli in different directions. Herein, a novel flexible electromagnetic tactile sensor (FETS) prepared by combining flexible double‐layer coils and a flexible tilted magnetic column array (TMCA) is presented. Flexible double‐layer high‐density coils are fabricated using the micro‐electromechanical system (MEMS) technology. The turns of the coil (1 × 1 cm) are 100, while both the line width and spacing of turns are 40 µm. TMCA is prepared using a template and magnetized along the axis direction. When a pulling force or pressure is applied to the TMCA, the magnetic flux decreases or increases correspondingly, allowing the FETS to accurately distinguish stimuli and produce different signals (−/+ or +/−). The FETS presents a sensitivity of up to 21.7 µV kPa−1 (0.05–10 kPa), a minimal magnetic field detection limit of 10 mT, a low‐pressure detection limit of 5 g, and good repeatability (5000 cycles). Additionally, the FETS is applied in robotic tactile testing, Morse code, and noncontact magnetic field recognition. It has potential applications in the Internet of Things (IoT) and information communication.

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A tactile sensor based on piezoresistive effect and electromagnetic induction

Cited by 12 publications

References 17 publications

Modified Nonlinear Hysteresis Approach for a Tactile Sensor

Modified Nonlinear Hysteresis Approach for a Tactile Sensor

Flexible Three-Dimensional Force Tactile Sensor Based on Velostat Piezoresistive Films

Flexible Electromagnetic Tactile Sensor Based on Double‐Layer High‐Density MEMS Coils and Tilted Magnetic Column Array

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