Design and Fabrication of a Stretchable Circuit Board for Wireless Posture Measurement

Lin, Shujing; Xu, Jing; Zhi, Xiao; Chen, Di; Miao, Jianmin; Shull, Peter B.; Cui, Daxiang

doi:10.1109/led.2017.2649497

Cited by 6 publications

(12 citation statements)

References 15 publications

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“…Lin developed a stretchable circuit on PDMS substrate through depositing metals on it followed by lithography technique . Before antisputtering applying metal on PDMS substrate, O 2 plasma surface treatment was conducted on the PDMS substrate for improving its surface energy.…”

Section: Functional Components Of Stimesmentioning

confidence: 99%

Smart Textile‐Integrated Microelectronic Systems for Wearable Applications

et al. 2019

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The programmable nature of smart textiles makes them an indispensable part of an emerging new technology field. Smart textile‐integrated microelectronic systems (STIMES), which combine microelectronics and technology such as artificial intelligence and augmented or virtual reality, have been intensively explored. A vast range of research activities have been reported. Many promising applications in healthcare, the internet of things (IoT), smart city management, robotics, etc., have been demonstrated around the world. A timely overview and comprehensive review of progress of this field in the last five years are provided. Several main aspects are covered: functional materials, major fabrication processes of smart textile components, functional devices, system architectures and heterogeneous integration, wearable applications in human and nonhuman‐related areas, and the safety and security of STIMES. The major types of textile‐integrated nonconventional functional devices are discussed in detail: sensors, actuators, displays, antennas, energy harvesters and their hybrids, batteries and supercapacitors, circuit boards, and memory devices.

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Section: Functional Components Of Stimesmentioning

confidence: 99%

Smart Textile‐Integrated Microelectronic Systems for Wearable Applications

et al. 2019

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“…By using high-density sensor electrodes and combined with approaches like the gray-level co-occurrence matrix, the recognition system can still get the original signal; only the corresponding relationship between the signal and electrodes is changed [59]. [50], [92], [161], (e-f) soft circuits [184], [185], (g) skin-integrated haptic device [186],(h) soft harvesting systems [187].…”

Section: B Increased Robustnessmentioning

confidence: 99%

“…For haptic feedback, Yu et al [186] introduced a skin-integrated interface which can provide localized mechanical vibrations, and Chossat et al [191] proposed a soft skin-stretch device for augmented proprioceptive feedback. Advances in flexible electronics make it possible to develop soft circuits [184], [185], enabling a more user-friendly prototype. For power supply, some pilot research has even integrated energy harvesting systems based on solar energy [187] or epidermal triboelectric nanogenerators [192].…”

Section: Soft Systemsmentioning

confidence: 99%

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Emerging Wearable Interfaces and Algorithms for Hand Gesture Recognition: A Survey

Jiang

Kang

Song

et al. 2022

IEEE Rev. Biomed. Eng.

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Hands are vital in a wide range of fundamental daily activities, and neurological diseases that impede hand function can significantly affect quality of life. Wearable hand gesture interfaces hold promise to restore and assist hand function and to enhance human-human and human-computer communication. The purpose of this review was to synthesize current novel sensing interfaces and algorithms for hand gesture recognition, and the scope of applications covers rehabilitation, prosthesis control, sign language recognition, and human-computer interaction. Results showed that electrical, dynamic, acoustical/vibratory, and optical sensing were the primary input modalities in gesture recognition interfaces. Two categories of algorithms were identified: 1) classification algorithms for predefined, fixed hand poses and 2) regression algorithms for continuous finger and wrist joint angles. Conventional machine learning algorithms, including linear discriminant analysis, support vector machines, random forests, and non-negative matrix factorization, have been widely used for a variety of gesture recognition applications, and deep learning algorithms have more recently been applied to further facilitate the complex relationship between sensor signals and multi-articulated hand postures. Future research should focus on increasing recognition accuracy with larger hand gesture datasets, improving reliability and robustness for daily use outside of the laboratory, and developing softer, less obtrusive interfaces.

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“…S3 and S4) (34,35). This printingbased approach allowed us to define proper circuit architectures in a more rapid and flexible manner through a mask-free, continuous fabrication process, compared to other existing approaches that generally require multistep masking processes (36)(37)(38).…”

Section: Fragmented She Design For Fine Conformabilitymentioning

confidence: 99%

Electronic skins for soft, compact, reversible assembly of wirelessly activated fully soft robots

et al. 2018

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Designing softness into robots holds great potential for augmenting robotic compliance in dynamic, unstructured environments. However, despite the body's softness, existing models mostly carry inherent hardness in their driving parts, such as pressure-regulating components and rigid circuit boards. This compliance gap can frequently interfere with the robot motion and makes soft robotic design dependent on rigid assembly of each robot component. We present a skin-like electronic system that enables a class of wirelessly activated fully soft robots whose driving part can be softly, compactly, and reversibly assembled. The proposed system consists of two-part electronic skins (e-skins) that are designed to perform wireless communication of the robot control signal, namely, "wireless inter-skin communication," for untethered, reversible assembly of driving capability. The physical design of each e-skin features minimized inherent hardness in terms of thickness (<1 millimeter), weight (~0.8 gram), and fragmented circuit configuration. The developed e-skin pair can be softly integrated into separate soft body frames (robot and human), wirelessly interact with each other, and then activate and control the robot. The e-skin-integrated robotic design is highly compact and shows that the embedded e-skin can equally share the fine soft motions of the robot frame. Our results also highlight the effectiveness of the wireless interskin communication in providing universality for robotic actuation based on reversible assembly.

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Design and Fabrication of a Stretchable Circuit Board for Wireless Posture Measurement

Cited by 6 publications

References 15 publications

Smart Textile‐Integrated Microelectronic Systems for Wearable Applications

Smart Textile‐Integrated Microelectronic Systems for Wearable Applications

Emerging Wearable Interfaces and Algorithms for Hand Gesture Recognition: A Survey

Electronic skins for soft, compact, reversible assembly of wirelessly activated fully soft robots

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