Anti-drying, transparent, ion-conducting, and tough organohydrogels for wearable multifunctional human–machine interfaces

Wu, Wei; Ren, Yukun; Jiang, Tianyi; Hou, Likai; Zhou, Jian; Jiang, Hongyuan

doi:10.1016/j.cej.2021.132635

Cited by 19 publications

(16 citation statements)

References 47 publications

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“…Therefore, the amount of data processing in dynamic programming algorithm is more reasonable. At same time, it can be seen from Figure 4 that the data processing capacity of dynamic programming is relatively stable without significant fluctuation, while the fluctuation of static programming algorithm is relatively large in the early stage and tends to be flat in the later stage, so the processing effect of dynamic programming is better, which is consistent with the results of relevant studies [ 17 ]. The comparison of the actual data processing capacity of the two methods is shown in Figure 5 .…”

Section: The the Case Analysis Of Intelligent Health Monitoring Based...supporting

confidence: 84%

A Mode of Intelligent Equipment Monitoring Optimization Based on Dynamic Programming Algorithm

Zheng

Jiang

2022

Computational Intelligence and Neuroscience

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With the continuous development of the national economy and scientific productivity, urban construction and people’s living standards are also getting higher and higher. Although people enjoy increasingly convenient life, the demand for intelligence is getting higher and higher. Digital intelligent equipment has the functions of data collection, calculation and analysis, diagnostic and early warning, and communication functions. Analyze the status quo and existing problems of the development of intelligent equipment, as well as analyze and research key monitoring technologies in the use and development of digital intelligent equipment and provide optimal solutions for intelligent equipment hardware development requirements, software development, and model algorithms. Intelligent equipment monitoring is related to all aspects of people’s livelihood, and its intelligent development is related to the public role in this field in the future. Accurate results of monitoring can provide data support for schools, research institutions, the public, and the government. At the same time, it is also an important basis for formulating social policies. At present, the commonly used monitoring method usually adopts time series algorithm. Through literature review, it is found that the algorithm has the problem of distortion of correct data, which affects the accuracy of monitoring results. Based on the above reasons, this article combines the wavelet function with the planning algorithm and proposes a dynamic programming algorithm, which removes the redundant monitoring data in turn and clusters the distortion monitoring data with the wavelet function, which improves the accuracy and computational efficiency of the algorithm and gives full play to the monitoring of intelligence. The simulation results using MATLAB show that the planning algorithm can eliminate 90% of redundant monitoring data and improve the extraction rate of characteristic monitoring data. At the same time, the accuracy of the planning algorithm reaches 95%, and the calculation time is less than 25 s, which is better than the static planning algorithm. Therefore, the dynamic programming algorithm can better utilize the intelligence, convenience, and efficiency of the equipment to optimize the monitoring model.

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Section: The the Case Analysis Of Intelligent Health Monitoring Based...supporting

confidence: 84%

A Mode of Intelligent Equipment Monitoring Optimization Based on Dynamic Programming Algorithm

Zheng

Jiang

2022

Computational Intelligence and Neuroscience

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“…The unique mechanical and electrical properties of the advent of flexible electronic devices allow their use in soft robots, [1,2] flexible sensors, [3,4] and flexible printed circuit boards (PCBs). [5,6] In particular, the skin-interfaced soft wearable electronics can monitor vital physiological data for early disease diagnostics, [7,8] effective in-time treatment, [9,10] and humancomputer interfaces, [11,12] as well as provide electronic skin [13,14] to detect heat stress. However, these soft and flexible devices are inevitably susceptible to mechanical damage and failure from external friction, torsion, tear, and compression, presenting challenges for their long-term use in harsh environments.…”

Section: Introductionmentioning

confidence: 99%

Self‐Healing, Reconfigurable, Thermal‐Switching, Transformative Electronics for Health Monitoring

Yang

Wang

et al. 2023

Advanced Materials

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Soft, deformable electronic devices provide the means to monitor physiological information and health conditions for disease diagnostics. However, their practical utility is limited due to the lack of intrinsical thermal switching for mechanically transformative adaptability and self‐healing capability against mechanical damages. Here, the design concepts, materials and physics, manufacturing approaches, and application opportunities of self‐healing, reconfigurable, thermal‐switching device platforms based on hyperbranched polymers and biphasic liquid metal are reported. The former provides excellent self‐healing performance and unique tunable stiffness and adhesion regulated by temperature for the on‐skin switch, whereas the latter results in liquid metal circuits with extreme stretchability (>900%) and high conductivity (3.40 × 104 S cm−1), as well as simple recycling capability. Triggered by the increased temperature from the skin surface, a multifunctional device platform can conveniently conform and strongly adhere to the hierarchically textured skin surface for non‐invasive, continuous, comfortable health monitoring. Additionally, the self‐healing and adhesive characteristics allow multiple multifunctional circuit components to assemble and completely wrap on 3D curvilinear surfaces. Together, the design, manufacturing, and proof‐of‐concept demonstration of the self‐healing, transformative, and self‐assembled electronics open up new opportunities for robust soft deformable devices, smart robotics, prosthetics, and Internet‐of‐Things, and human–machine interfaces on irregular surfaces.

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“…Keystrokes are based on touch panels which consist of different mechanical structures, capacitive or resistive sensors. [21][22][23] For touch panels, stretchable and biocompatible sensing materials are required for easy integration with the human body. [24,25] Sun et al [26] demonstrated an ion touch panel by using polyacrylamide (PAAm) hydrogel that contained lithium salt.…”

Section: Introductionmentioning

confidence: 99%

Recent Advances in Hydrogel‐Based Self‐Powered Artificial Skins for Human–Machine Interfaces

Wang

Zhu

Tan

et al. 2023

Advanced Intelligent Systems

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With the rapid development of artificial intelligence, human‐machine interfaces (HMI) are continuing to affect human lifestyles. Artificial skin is a new type of HMI sensor that enables a seamless connection between human and electronic devices. Currently, artificial skin is mostly prepared from rigid materials, which lack flexibility and scalability, thus impeding the development of HMI. Hydrogel, consisting of 3D polymer network and water is similar to human tissues and is therefore an excellent candidate for artificial skin in HMI. The conventional HMI of hydrogel‐based artificial skin includes touch pad and machine control based on capacitive or resistive sensors. However, the energy supply of HMI depends on battery which requires frequent recharging and replacement. Therefore, hydrogel‐based self‐powered artificial skin is expected to become primary interaction medium for the forthcoming generation of HMI. This article reviews the development of hydrogel‐based self‐powered artificial skin for HMI. Various power supply mechanisms of hydrogel‐based artificial skin are discussed. The materials for self‐powered artificial skin are introduced, including ionic hydrogel, ionic‐liquid hydrogel, metal‐based hydrogel, carbon‐based and MXene‐based hydrogel, and conductive polymer‐based hydrogel. The application of the hydrogel‐based self‐powered artificial skin in HMI is also reviewed. Finally, the challenges and development trends in HMI are outlined.

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Anti-drying, transparent, ion-conducting, and tough organohydrogels for wearable multifunctional human–machine interfaces

Cited by 19 publications

References 47 publications

A Mode of Intelligent Equipment Monitoring Optimization Based on Dynamic Programming Algorithm

A Mode of Intelligent Equipment Monitoring Optimization Based on Dynamic Programming Algorithm

Self‐Healing, Reconfigurable, Thermal‐Switching, Transformative Electronics for Health Monitoring

Recent Advances in Hydrogel‐Based Self‐Powered Artificial Skins for Human–Machine Interfaces

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