Flexible Mechanical Metamaterials Enabled Electronic Skin for Real‐Time Detection of Unstable Grasping in Robotic Manipulation (Adv. Funct. Mater. 23/2022)

Huang, Xin; Guo, Wei; Liu, Shaoyu; Li, Yangyang; Qiu, Yuqi; Fang, Han; Yang, Ganguang; Zhu, Kanhao; Yin, Zhouping; Li, Zhuo; Wu, Hao

doi:10.1002/adfm.202270131

Cited by 28 publications

(24 citation statements)

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“…[ 10 ] The noncontact culture further accelerates the exigent demands for remote forms of immersive user interactions. By introducing new soft functional materials and wearable electronics to the Metaverse research field, diverse transduction methods, such as the piezoelectric effect, [ 11 ] piezoresistive effect, [ 12 ] ionic conduction, [ 13 ] and capacitive effect, [ 14 ] are under development for decoding human intentions. However, the most limitations of these mechanisms lie in the demand of external power suppliers, inhibiting their mass production and widespread use.…”

Section: Introductionmentioning

confidence: 99%

Anatomically Designed Triboelectric Wristbands with Adaptive Accelerated Learning for Human–Machine Interfaces

Fang

Wang

et al. 2023

Advanced Science

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Recent advances in flexible wearable devices have boosted the remarkable development of devices for human-machine interfaces, which are of great value to emerging cybernetics, robotics, and Metaverse systems. However, the effectiveness of existing approaches is limited by the quality of sensor data and classification models with high computational costs. Here, a novel gesture recognition system with triboelectric smart wristbands and an adaptive accelerated learning (AAL) model is proposed. The sensor array is well deployed according to the wrist anatomy and retrieves hand motions from a distance, exhibiting highly sensitive and high-quality sensing capabilities beyond existing methods. Importantly, the anatomical design leads to the close correspondence between the actions of dominant muscle/tendon groups and gestures, and the resulting distinctive features in sensor signals are very valuable for differentiating gestures with data from 7 sensors. The AAL model realizes a 97.56% identification accuracy in training 21 classes with only one-third operands of the original neural network. The applications of the system are further exploited in real-time somatosensory teleoperations with a low latency of <1 s, revealing a new possibility for endowing cyber-human interactions with disruptive innovation and immersive experience.

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Section: Introductionmentioning

confidence: 99%

Anatomically Designed Triboelectric Wristbands with Adaptive Accelerated Learning for Human–Machine Interfaces

Fang

Wang

et al. 2023

Advanced Science

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“…[ 1 ] Inspired by human skin, an electronic device that imitates the characteristics and functions of human skin to sense various external signals and record them as different electrical signals, named as electronic skin, has appeared. [ 2–7 ] The origin of electronic skin stems from people's pursuit of artificial skin. Researchers began to explore the potential applications of electronic skin in the 1970s.…”

Section: Introductionmentioning

confidence: 99%

How Far for the Electronic Skin: From Multifunctional Material to Advanced Applications

Chen

Sun

Wei

et al. 2023

Adv Materials Technologies

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Electronic skin that imitates the characteristics and functions of human skin to sense various external signals and records them as different electrical signals has received extensive attention, and much effort has been made on electronic skin for potential medicine application. However, it still needs a long way to achieve practical applications for electronic skin as consumer electronics, the recent progress of electronic skin is reviewed. First, the crucial characteristics in practical electronic skin are analyzed. Subsequently, the technical supports that need to obtain practical electronic skin are also discussed, and electronic skin in terms of short‐term application, medium‐term application and long‐term application are introduced. Finally, suggestions for future development directions in this fascinating field are put forward.

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“…Different from the change of the contact relationship between the sensitive layer and the electrode, the porosity design controls the electrical path by changing the looseness and density of the piezoresistive composite. Porous piezoresistive composite materials with a sponge‐like structure [ 34 ] are divided into pure conductive sponges, [ 35–38 ] composite conductive sponges, [ 39–40 ] conductive sponges impregnated with elastomers, [ 45–48 ] and conductive material‐coated sponges. [ 48–98 ] Different from other aerogels, conductor‐coated porous composites (CCPCs) consist of a conductive coating and an insulating elastomer backbone.…”

Section: Introductionmentioning

confidence: 99%

“…Porous piezoresistive composite materials with a sponge‐like structure [ 34 ] are divided into pure conductive sponges, [ 35–38 ] composite conductive sponges, [ 39–40 ] conductive sponges impregnated with elastomers, [ 45–48 ] and conductive material‐coated sponges. [ 48–98 ] Different from other aerogels, conductor‐coated porous composites (CCPCs) consist of a conductive coating and an insulating elastomer backbone. CCPC shows attractive large‐scale production potential because of readily available raw materials and facile preparation process.…”

Section: Introductionmentioning

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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Flexible Mechanical Metamaterials Enabled Electronic Skin for Real‐Time Detection of Unstable Grasping in Robotic Manipulation (Adv. Funct. Mater. 23/2022)

Cited by 28 publications

References 0 publications

Anatomically Designed Triboelectric Wristbands with Adaptive Accelerated Learning for Human–Machine Interfaces

Anatomically Designed Triboelectric Wristbands with Adaptive Accelerated Learning for Human–Machine Interfaces

How Far for the Electronic Skin: From Multifunctional Material to Advanced Applications

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

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