Self‐Adaptive Hierarchical Gradient Structure‐Based In Situ Sensor with High‐Pressure Resolution

Luo, Zewei; Huang, Zepeng; Liu, Xingchi; Ye, Changqing; Luo, Chen; Wang, Chaolun; Cai, Chunhua; Lv, Liangjian; Bi, Hengchang; Chu, Junhao; Wu, Xing; Shen, Guozhen

doi:10.1002/admt.202200848

Cited by 6 publications

(5 citation statements)

References 44 publications

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“…Luo et al fabricated the detection of BCG signals by designing a self‐adapted CCPC device with a gradient structure. [ 103 ] In Figure 8b, the device can still clearly distinguish the BCG signal of the human body under the load of 100 kPa, which is due to the adaptability brought about by the modulus difference of the gradient structure.…”

Section: Intelligent Applications Of Ccpcsmentioning

confidence: 99%

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Design Intelligent Pressure Sensing Devices and System Integrated with Conductor‐Coated Porous Composites

Shen

Gong

et al. 2023

Advanced Sensor Research

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Porous composite pressure sensors have the advantage of a wide deformation range owing to their structural characteristics. It is one of the building blocks for wearable intelligent devices and systems. Conductor-coated porous composites (CCPCs), consisting of a conductive coating and an insulating elastomeric skeleton, exhibit low modulus, high compressibility, and a facile fabrication process. Pressure sensors developed based on CCPCs provide specific intelligent wearable sensor applications, including high-resolution pressure detection and multimodal sensing under extremely compressing environments. Here, representative works on the fabrication, performance, and applications of CCPC devices are reviewed. The "state-of-the-art" compilation of the most sophisticated design strategy of CCPCs with durable, low hysteresis, high sensitivity, and wide detection range is summarized, which also ensures instructive significance for the design of other pressure devices based on soft matter and rigid conductors. Finally, the intelligent device and system scenarios of CCPC devices are introduced.

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Section: Intelligent Applications Of Ccpcsmentioning

confidence: 99%

Section: Intelligent Applications Of Ccpcsmentioning

confidence: 99%

Design Intelligent Pressure Sensing Devices and System Integrated with Conductor‐Coated Porous Composites

Shen

Gong

et al. 2023

Advanced Sensor Research

View full text Add to dashboard Cite

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“…A self‐adaptive hierarchical gradient structure‐based device with good resolution under large pressure loads (>100 kPa). [ 51 ] The compression process of the porous structure and the corresponding stress–strain behavior were directly observed by in situ SEM. During compression, an adaptive staged sensing mechanism is revealed.…”

Section: Introductionmentioning

confidence: 99%

Skin‐Inspired Hierarchical Structure Sensor for Ultrafast Active Human–Robot Interaction

Shen

Guo

et al. 2023

Adv Materials Technologies

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Biomimetic sensors that mimic human skin perception have received enormous attention in human motion detection and human–robot interaction. However, the narrow working range limits the response linearity of mechanical stimuli. Especially the ultrafast active response is needed to detect and react to the potential collision. Inspired by the skin structure, a hierarchical structure with poly(ethylene oxide)‐based ionic conductive polymer electrolytes and polyurethane is designed. The observable synergistic sensing mechanism works throughout the compression process, providing the device with a continuous change in electrical response with excellent linearity (R2 = 0.998) over a broad range (100 Pa–500 kPa). The compressive deformation and corresponding mechanical behavior of hierarchical structures are dynamically and simultaneously observed by using in situ electron microscopy at the atomistic scale. Furthermore, a biomimetic skin is established in the human–robot interaction system, which can provide active and efficient collision avoidance.

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“…Although researchers have designed several devices for measuring the grasping force of infants, [ 26–29 ] they are limited in terms of accuracy and reliability owing to the sensing mechanism used in them. Most measuring devices have been developed based on piezoelectric‐type sensors (piezoresistive and piezocapacitive), which rely on the direction of the applied force and specific area.…”

Section: Introductionmentioning

confidence: 99%

“…As it is challenging to measure the small grasping force of infants who cannot communicate with medical doctors, only studies involving children and adults have been conducted. [20][21][22][23][24][25] Although researchers have designed several devices for measuring the grasping force of infants, [26][27][28][29] they are limited in terms of accuracy and reliability owing to the sensing mechanism used in them. Most measuring devices have been developed based on piezoelectric-type sensors (piezoresistive and piezocapacitive), which rely on the direction of the applied force and specific area.…”

Section: Introductionmentioning

confidence: 99%

Precise Measurement of Grasping Force for Noncollaborative Infants

Jeong

Yoo

Lee

et al. 2023

Adv Materials Technologies

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Among the medical parameters used for infants, the grasping force is particularly important because it indicates their musculoskeletal and neurological development. Although several grasping force measuring devices have been developed for infants, their accuracy and reliability are limited owing to their direction-dependent sensing mechanisms. It is challenging to calculate the direction and area of the ambiguous forces applied by infants, and pediatricians cannot control the grasping method used by them. In this study, a direction-independent grasping force measuring device is proposed that features a high resolution (0.1 kPa), cyclic stability (20 000 cycles), and linear sensitivity (21.73 μV kPa −1 ), and high accuracy and reliability. The grasping forces (average, minimum, and maximum) of the left (normal state) and right (injection needle inserted: uncomfortable state) hands of a 1-day old infant can be successfully analyzed using the proposed device. It can be used to obtain the standard grasping force data of infants, which can contribute toward understanding the correlation between the grasping force and neurological diseases. The proposed device can be used to quantitatively measure the grasping force of not only infants but also the elderly; therefore, additional studies may report that the grasping force can be a discriminable parameter for identifying neurological diseases.

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Self‐Adaptive Hierarchical Gradient Structure‐Based In Situ Sensor with High‐Pressure Resolution

Cited by 6 publications

References 44 publications

Design Intelligent Pressure Sensing Devices and System Integrated with Conductor‐Coated Porous Composites

Design Intelligent Pressure Sensing Devices and System Integrated with Conductor‐Coated Porous Composites

Skin‐Inspired Hierarchical Structure Sensor for Ultrafast Active Human–Robot Interaction

Precise Measurement of Grasping Force for Noncollaborative Infants

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