Bioinspired soft electroreceptors for artificial precontact somatosensation

Guo, Zi Hao; Wang, Hai Lu; Shao, Jihai; Shao, Yangshi; Jia, Lijuan; Li, Longwei; Pu, Xiong; Wang, Zhong Lin

doi:10.1126/sciadv.abo5201

Cited by 87 publications

(70 citation statements)

References 43 publications

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“…The resistivity change of devices made from metal oxide nanofiber represents different bending angles of finger fitted with the devices, which enables to translate hand gestures. Furthermore, Guo et al [94] presented bio-inspired soft electroreceptors for artificial precontact somatosensation, which is capable of sensing approaching targets without contact by detecting the charges that they carry naturally. Fig.…”

Section: Gesture Sensingmentioning

confidence: 99%

“…(d) A flexible and stretchable electronic device based on metal oxide nanofiber networks for gesture sensing [93]. (e) A bioinspired soft electroreceptor for untouched somatosensation, which achieves the gesture 930 distinguishing for movement control of game characters [94]. (f) A wireless human-machine interface for closed-loop control between robot and human based on robotic VR [95].…”

Section: Figuresmentioning

confidence: 99%

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Recent Advances in Materials, Designs and Applications of Skin Electronics

Yao

Yang

et al. 2023

IEEE Open J. Nanotechnol.

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As electronic devices get smaller, more portable, and smarter, a new approach of realizing electronics in thin, soft, and even stretchable style that could be worn and attached to the skin, which is called skin electronics, has emerged and attracted much attention. To achieve well compliance, extend the maximum stretchability, promote the comfortability of wearing, and make the most use of the skin electronics, researchers are making efforts in different aspects. In this review, we summarized the recent advances in categories of materials science, design strategies and novel applications. Examples of skin electronics using various functional materials including piezoelectric, thermoelectric, etc., and soft conductive materials including PEDOT: PSS-based conductive polymer, carbon nanomaterials, metal-based materials and hydrogels were given.Different mechanics design strategies for enhancing mechanical performance and comfortability design strategies for better wearing experience were introduced. Lastly, practical applications of skin electronics in fields of smart healthcare and human-machine interface were discussed.Research focused on these aspects all boosted the development of skin electronics in different dimensions, with which combined together may help skin electronics take a leap into truly ubiquitous use in our daily life.

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Section: Gesture Sensingmentioning

confidence: 99%

Section: Figuresmentioning

confidence: 99%

Recent Advances in Materials, Designs and Applications of Skin Electronics

Yao

Yang

et al. 2023

IEEE Open J. Nanotechnol.

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“…To our best knowledge, the MMCA-based e-skin exhibits the superiorities that can not only quantitatively recognize the pressure inputs and 3D morphology in a selfpowered way but also be available to provide stable electrical responses in some harsh conditions as discussed above. [14][15][16][37][38][39][40][41][42]…”

Section: Reconstruction Of 3d Morphology Via Mmca E-skinmentioning

confidence: 99%

Magnetized Microcilia Array‐Based Self‐Powered Electronic Skin for Micro‐Scaled 3D Morphology Recognition and High‐capacity Communication

Zhou¹,

Dai³

et al. 2022

Adv Funct Materials

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“…[75][76][77][78][79][80][81][82][83][84][85][86] Triboelectric nanogenerators (TENGs), a novel form of energy generation first reported in 2012. [87][88][89][90][91][92][93][94][95] TENGs are able to generate energy by converting mechanical energy into electricity that relies upon the triboelectric effect and electrostatic induction to generate voltage. [81,[96][97][98][99][100][101][102] The triboelectric effect occurs when two materials with different electron affinities are put in close proximity to each other, which causes electron transfer to occur.…”

Section: Introductionmentioning

confidence: 99%

Self‐Powered Smart Gloves Based on Triboelectric Nanogenerators

et al. 2022

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movement recognition systems which can turn these movements into analyzable data that can be further used to integrate technology into daily life and improve it.In the United States, approximately 15% of the adult population report some form of hearing loss, [6] and thus rely on sign language to communicate. However, most of the hearing population are not fluent in sign language, creating a barrier in communication between the deaf and hearing communities. To further complicate the issue, different languages and countries have different sign languages. For example, although an English speaker suffers no language barrier in both the United States and United Kingdom, American Sign Language signers may have difficulty understanding British Sign Language. [7] Currently, many devices have been created for purpose of gesture recognition and can be either vision-based or sensor-based. [8] Vision-based devices can record images or videos in either 2D, through a single camera, [9][10][11][12][13] or in 3D, through stereo cameras [14][15][16] or light projection methods. [17][18][19] Next, they distinguish the hand from the background through methods such as include skin color detection, [20][21][22] using a unique background, [23,24] and entropy measurement by subtracting successive images. [25,26] As these devices are heavily light and background dependent, they do not work when in dim lighting, if the skin color of the user is similar to that of the background, or if fingers are overlapping. On the other hand, sensor-based devices use sensors, rather than cameras, to measure changes in hand and finger movements. The most common method of doing so is using sensing gloves that contain flex and IMU sensors to determine the orientation, acceleration, and bending angle of the hands and fingers. [27][28][29][30][31] Another method of sensor-based gesture recognition is through electromyography, which can record the muscle tissue activity using multiple electrodes placed on the skin, [32][33][34][35][36] but may impede movement and be uncomfortable for the user. Wireless signals and radar can also be used to measure gestures, [37][38][39] but suffer from limitations such as signal strength and difficulties in distinguishing hand gestures from different people. In addition to the aforementioned disadvantages, a common issue with both vision and sensor-based gesture recognition methods are that they are not self-powered, which means that they are unable to be used continuously throughout the day. These problems pose major disadvantages for those who are deaf or hard-of-hearing, proving the need for a comfortable, universal, and accurateThe hands are used in all facets of daily life, from simple tasks such as grasping and holding to complex tasks such as communication and using technology. Finding a way to not only monitor hand movements and gestures but also to integrate that data with technology is thus a worthwhile task. Gesture recognition is particularly important for those who rely on sign language to communicate, but the l...

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Bioinspired soft electroreceptors for artificial precontact somatosensation

Cited by 87 publications

References 43 publications

Recent Advances in Materials, Designs and Applications of Skin Electronics

Recent Advances in Materials, Designs and Applications of Skin Electronics

Magnetized Microcilia Array‐Based Self‐Powered Electronic Skin for Micro‐Scaled 3D Morphology Recognition and High‐capacity Communication

Self‐Powered Smart Gloves Based on Triboelectric Nanogenerators

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