Journal Article10.1002/adfm.202512653
A Seamlessly Integrated Sandwich‐Structured Hydrogel for Supercapacitors and Multimodal Wearable Sensors Enabling Information Transmission
Wanwan Li,Zhizhou Chen,Chang Xu,Xinxin Zhao,Chunlei Ren,Peng Wei,Dianbo Zhang,Fangyi Guan,Wei Zhai,Kun Dai +9 more
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TL;DR: Researchers develop a robust, sandwich-structured hydrogel for supercapacitors and wearable sensors, exhibiting excellent mechanical performance, high capacitance, and energy density, enabling real-time motion monitoring and remote communication for medical applications.
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Abstract: The sandwich‐structured hydrogel devices are emerging as promising candidates for flexible supercapacitors (SCs) and wearable sensors. However, their development is hindered by the interfacial challenges, including weak adhesion, high interface resistance and relative slippage phenomena. Herein, this study reports a robust sandwich‐structure polyaniline–polyvinyl alcohol (PVA) hydrogel fabricated via layer‐by‐layer in situ deposition technology. The strong interfacial bonding arises from the shared PVA component in each layer and dynamic interactions including reversible borate ester and hydrogen bonds. The integrated hydrogel demonstrates excellent mechanical performance with a tensile strength of 9.20 MPa and an elongation at break of 367%. As an all‐gel SC, the device exhibits a high areal capacitance of 1604 mF cm−2 and energy density of 142.60 µWh cm−2, and retains 95% capacitance after 1000 GCD cycles. Moreover, the hydrogel‐based strain sensor can monitor a wide range of human motions in real time. Leveraging this capability, a medical nursing system is developed that uses Morse code signals from finger movements for real‐time communication and remote diagnosis, assisting both patients and healthcare providers. This work offers an effective strategy for fabricating robust, layered hydrogels for use in energy storage and smart wearable electronics, with potential applications in motion monitoring, data transmission, and telemedicine.
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Citations
Metaverse‐Enabled Yoga Coach Avatar Using AI‐Enhanced Multimodal Insole Sensing System
Luwei Wang,Xin-Ge Guo,Zixuan Zhang,Chengkuo Lee +3 more
Abstract: Abstract Plantar biomechanical monitoring has emerged as an indispensable tool for health assessment and activity recognition. However, existing insole systems lack the capability to support multimodal sensing for sports monitoring due to limitations in materials and complexity of system design. Hydrogel, owing to its multimodal sensing capabilities and biocompatible properties, showcases great potential for advanced plantar monitoring during exercise. Here, the study proposes an artificial intelligence (AI)‐enhanced multimodal insole sensing system (AEIS) based on ionic hydrogel for immersive, real‐time posture correction and personalized yoga training guidance. The AEIS integrates a 32‐channel hydrogel‐based sensing array with a customized wireless circuit, enabling simultaneous monitoring of plantar pressure, temperature, and sweat. By leveraging hybrid AI algorithms, AEIS serves as a virtual yoga coach, achieving high accuracy in posture recognition (98.33%) and imbalance detection (90.06%). Furthermore, the developed approach based on random forest (RF) is trained on center‐of‐pressure (COP) stability data from yoga coach, enabling AEIS to analyze real‐time data of yoga practitioners and deliver personalized posture guidance. Meanwhile, the embedded haptic units provide real‐time haptic feedback in response to improper plantar pressure distribution. AEIS forms an interactive metaverse‐based yoga training platform, offering users an immersive, face‐to‐face‐like experience with a virtual yoga coach.
Smart multifunctional hydrogels with synergistic non-covalent networks for transparency-switching-based information encryption and multimodal sensing
Xuning Song,Jiali Jiang,Long Zhao +2 more