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A Human-Computer Interaction Strategy for An FPGA Platform Boosted Integrated "Perception-Memory" System Based on Electronic Tattoos and Memristors

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ADVANCED SCIENCE 2024年第39期11卷 e2402582页

作者： Li, Yang Qiu, Zhicheng Kan, Hao Yang, Yang Liu, Jianwen Liu, Zhaorui Yue, Wenjing Du, Guiqiang Wang, Cong Kim, Nam-Young Univ Jinan Sch Informat Sci & Engn Shandong Prov Key Lab Network Based Intelligent Co Jinan 250022 Peoples R China Shandong Univ Sch Integrated Circuits Jinan 250101 Peoples R China Shandong Univ Sch Space Sci & Phys Weihai 264209 Peoples R China Harbin Inst Technol Sch Elect & Informat Engn Harbin 150001 Peoples R China Kwangwoon Univ RFIC Ctr NDAC Ctr Dept Elect Engn Seoul 01897 South Korea

The integrated "perception-memory" system is receiving increasing attention due to its crucial applications in humanoid robots, as well as in the simulation of the human retina and brain. Here, a Field Programmable Gate Array (FPGA) platform-boosted system that enables the sensing, recognition, and memory for human-computer interaction is reported by the combination of ultra-thin Ag/Al/Paster-based electronic tattoos (AAP) and Tantalum Oxide/Indium Gallium Zinc Oxide (Ta2O5/IGZO)-based memristors. Notably, the AAP demonstrates exceptional capabilities in accommodating the strain caused by skin deformation, thanks to its unique structural design, which ensures a secure fit to the skin and enables the prolonged monitoring of physiological signals. By utilizing Ta2O5/IGZO as the functional layer, a high switching ratio is conferred to the memristor, and an integrated system for sensing, distinguishing, storing, and controlling the machine hand of multiple human physiological signals is constructed together with the AAP. Further, the proposed system implements emergency calls and smart homes using facial electromyogram signals and utilizing logical entailment to realize the control of the music interface. This innovative "perception-memory" integrated system not only serves the disabled, enhancing human-computer interaction but also provides an alternative avenue to enhance the quality of life and autonomy of individuals with disabilities. This study proposes an FPGA-based platform-boosted integrated "perception-memory" system that combines electronic tattoos and memristors to sense, recognize, and memorize physiological signals. The most valuable contribution of this work is that the integrated system enables the manipulator to follow the human hand, emergency call, and smart home functions, which are capable of assisting people with disabilities to live autonomously and conveniently. image

关键词： electronic tattoo FPGA platform human-computer interaction integrated system memristor

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Dielectric Polarization-Filtering Metasurface Doublet for Trifunctional Control of Full-Space Visible Light

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LASER & PHOTONICS REVIEWS 2022年第5期16卷 2100603-2100603页

作者： Gao, Song Zhou, Changyi Liu, Wenwei Yue, Wenjing Chen, Shuqi Lee, Sang-Shin Choi, Duk-Yong Li, Yang Univ Jinan Shandong Prov Key Lab Network Based Intelligent C Sch Informat Sci & Engn Jinan 250022 Shandong Peoples R China Kwangwoon Univ Dept Elect Engn Seoul 01897 South Korea Nankai Univ Sch Phys Renewable Energy Convers & Storage Ctr Minist EducKey Lab Weak Light Nonlinear Photon Tianjin 300071 Peoples R China Nankai Univ TEDA Inst Appl Phys Tianjin 300071 Peoples R China Australian Natl Univ Res Sch Phys Laser Phys Ctr Canberra ACT 2601 Australia

Multilayered plasmonic metasurfaces have been previously shown to enable multifunctional control of full-space electromagnetic waves, which are of great importance to the development of compact optical systems. While this structural configuration is practical for acquiring metasurfaces working in microwave frequency, it will inevitably become lossy and highly challenging to fabricate when entering the visible band. Here, an efficient yet facile approach to address this issue by resorting to a dielectric metasurface doublet (DMD) based on two vertically integrated polarization-filtering meta-atoms (PFMs) is presented. The PFMs exhibit polarization-dependent high transmission and reflection, as well as independent and full 2 pi phase control characteristics, empowering the DMD to realize three distinct incidence-direction and polarization-triggered wavefront-shaping functionalities, including anomalous beam deflection, light focusing, vortex beam generation, and holographic image projection as it is investigated either numerically or experimentally. The presented DMD undoubtedly holds several salient features compared with the multilayered metallic metasurfaces in aspects of design complexity, efficiency, and fabrication. Furthermore, as dielectric meta-atoms with distinct polarization responses can be deployed to construct the DMD, it is anticipated that diverse full-space metasurfaces equipped with versatile functionalities can be demonstrated in the future, which will greatly advance the development of multifunctional meta-optics.

关键词： dielectric metasurface doublets full-space metasurfaces polarization filtering trifunctional metasurfaces visible metasurfaces

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Highly Stretchable, Responsive Flexible Dual-Mode Magnetic Strain Sensor

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ADVANCED MATERIALS TECHNOLOGIES 2023年第5期8卷

作者： Guo, Xiaohui Hong, Weiqiang Zhang, Tianxu Li, Hongjin Zhu, Tong Hong, Qi Wang, Di Liu, Long Zhao, Yunong Wang, Dandan Mai, Zhihong Wang, Ming Yan, Feng Meng, Yuan Xu, Yaohua Xing, Guozhong Anhui Univ Sch Integrated Circuits Key Lab Intelligent Comp & Signal Proc Minist Educ Hefei 230601 Peoples R China Anhui Prov Key Lab Target Recognit & Feature Extra Luan 237010 Peoples R China Chinese Acad Sci Univ Chinese Acad Sci Inst Microelect Key Lab Microelect Devices & Integrated Technol Beijing 100029 Peoples R China Huazhong Univ Sci & Technol Sch Opt & Elect Informat Wuhan 430074 Peoples R China Future Sci & Technol City Hubei Jiu Feng Shan Lab Wuhan 420000 Hubei Peoples R China Fudan Univ Frontier Inst Chip & Syst Shanghai 200433 Peoples R China Univ Alabama Dept Met & Mat Engn Tuscaloosa AL 35487 USA

Stretchable strain sensors with high stability, high responsiveness, and low detection limit provide the broad potential for intelligent robots and electronic skin. However, developing low-cost strain sensors with contact and non-contact sensing modes remains a significant challenge. In this study, a flexible magnetic strain sensor based on a sandwich structure is proposed to address this challenge. The proposed structure utilizes the coordination between carbon black and Fe3O4 microparticles in the silicone rubber matrix to enhance the sensor's sensitivity to external strain and magnetic stimuli. The sensor exhibits excellent tensile properties with a strain range of up to 180%, fast response/recovery time (78 ms/65 ms), high stability, and durability after 9000 cycles. Moreover, the flexible magnetic strain sensors can detect micro-vibration and micro-strain signals. It can also be performed as electronic skin to precisely sense human movements. Furthermore, the newly developed sensor can accurately sense oncoming objects and bicycle riding speed/distance, and a flexible magnetic keyboard is conceived. Consequently, the dual-modal magnetic strain sensor exhibits an excellent ability to identify contact and non-contact states and has broad application prospects in next-generation intelligent products.

关键词： composites dual-mode low detection limits magnetic stretchable strain sensors

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Electron-Beam-Assisted Laser-Induced Strain Microfabrication

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LASER & PHOTONICS REVIEWS 2023年第10期17卷 2300014-2300014页

作者： Qu, Yusong Chen, Shengyao He, Juxing Liu, Zhenzhou Ma, Lijun Wang, Shu Zhu, Mingquan Li, Bo Tan, Xiang Li, Honglang Cai, Hongbing Wang, Cong Liu, Qian Natl Ctr Nanosci & Technol CAS Ctr Excellence Nanosci Beijing 100190 Peoples R China Univ Chinese Acad Sci Beijing 100190 Peoples R China Nankai Univ TEDA Appl Phys Inst Sch Phys MOE Key Lab Weak Light Nonlinear Photon Tianjin 300457 Peoples R China Chinese Acad Sci Shanghai Inst Microsyst & Informat Technol Natl Key Lab Mat Integrated Circuits Shanghai 200050 Peoples R China Nanyang Technol Univ Sch Phys & Math Sci Div Phys & Appl Phys Singapore 637371 Singapore Beijing Univ Chem Technol Coll Math & Phys Beijing 100029 Peoples R China

Converting the unordered wrinkles generated on a bilayer film into controllable strain microstructures is a focal point of research. However, many existing methods are hindered by their inability to achieve microscale stress fields that align with the designed structure, consequently limiting the manufacturing of desirable microstructures. In recent years, laser-induced strain micro/nanostructure fabrication has emerged as a promising technique due to its advantages, including simple processing, cost-effectiveness, high efficiency, and large-area fabrication. Nevertheless, this technique is limited to fabricating specific periodic structures, thereby constraining its manufacturing capacities. Here, a novel laser-induced strain strategy assisted by electron beam irradiation is proposed, which successfully eliminates secondary structures and unordered wrinkles, realizing the fabrication of arbitrary micro/nanostructures with consistency between design and fabrication. Furthermore, the generation mechanisms of these strain structures are elucidated by a combination of simulations and experiments. The method transcends the limitations stemming from intrinsic wavelength of wrinkles, enabling the fabrication of isolated strain structures. The diverse structures achieved through the approach demonstrate the designability, controllability, and universality of the novel laser-induced strain strategy, establishing it as a reliable method for surface micro/nanostructure fabrication.

关键词： electron beam irradiation intrinsic wavelength isolated strain microstructures laser-induced microstructures

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Water-Induced Bandgap Engineering in Nanoribbons of Hexagonal Boron Nitride

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ADVANCED MATERIALS 2023年第36期35卷 2303198-2303198页

作者： Chen, Chen Hang, Yang Wang, Hui Shan Wang, Yang Wang, Xiujun Jiang, Chengxin Feng, Yu Liu, Chenxi Janzen, Eli Edgar, James H. Wei, Zhipeng Guo, Wanlin Hu, Weida Zhang, Zhuhua Wang, Haomin Xie, Xiaoming Univ Chinese Acad Sci Ctr Mat Sci & Optoelect Engn Beijing 100049 Peoples R China Chinese Acad Sci Shanghai Inst Microsyst & Informat Technol Natl Key Lab Mat Integrated Circuits Shanghai 200050 Peoples R China CAS Ctr Excellence Superconducting Elect CENSE Shanghai 200050 Peoples R China Nanjing Univ Aeronaut & Astronaut Key Lab Intelligent Nano Mat State Key Lab Mech & Control Aerosp Struct Nanjing 210016 Peoples R China Chinese Acad Sci Shanghai Inst Tech Phys State Key Lab Infrared Phys Shanghai 200083 Peoples R China ShanghaiTech Univ Sch Phys Sci & Technol Shanghai 201210 Peoples R China Kansas State Univ Tim Taylor Dept Chem Engn Manhattan KS 66506 USA Changchun Univ Sci & Technol State Key Lab High Power Semicond Lasers Changchun 130022 Peoples R China

Different from hexagonal boron nitride (hBN) sheets, the bandgap of hBN nanoribbons (BNNRs) can be changed by spatial/electrostatic confinement. It is predicted that a transverse electric field can narrow the bandgap and even cause an insulator-metal transition in BNNRs. However, experimentally introducing an overhigh electric field across the BNNR remains challenging. Here, it is theoretically and experimentally demonstrated that water adsorption greatly reduces the bandgap of zigzag-oriented BNNRs (zBNNRs). Ab initio calculations show that water molecules can be favorably assembled within the trench between two adjacent BNNRs to form a polar ice layer, which induces a transverse equivalent electric field of over 2 V nm(-1) accounting for the bandgap reduction. Field-effect transistors are successfully fabricated from zBNNRs with different widths. The conductance of water-adsorbed zBNNRs can be tuned over 3 orders in magnitude via modulation of the equivalent electrical field at room temperature. Furthermore, photocurrent response measurements are taken to determine the optical bandgaps of zBNNRs with water adsorption. The zBNNR with increased width can exhibit a bandgap down to 1.17 eV. This study offers fundamental insights into new routes toward realizing electronic/optoelectronic devices and circuits based on hexagonal boron nitride.

关键词： boron nitride nanoribbons bandgap engineering edge modification water adsorption transverse potential hexagonal boron nitride

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Strong Convergence Results of Split Equilibrium Problems and Fixed Point Problems

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JOURNAL OF MATHEMATICS 2021年第1期2021卷

作者： Zhu, Li-Jun Kuo, Hsun-Chih Wen, Ching-Feng North Minzu Univ Key Lab Intelligent Informat & Data Proc NingXia Yinchuan 750021 Ningxia Peoples R China Natl Kaohsiung Univ Sci & Technol Dept Risk Management & Insurance Kaohsiung Taiwan Kaohsiung Med Univ Ctr Fundamental Sci Kaohsiung 80708 Taiwan Kaohsiung Med Univ Res Ctr Nonlinear Anal & Optimizat Kaohsiung 80708 Taiwan Kaohsiung Med Univ Hosp Dept Med Res Kaohsiung 80708 Taiwan

In this paper, we investigate the split equilibrium problem and fixed point problem in Hilbert spaces. We propose an iterative scheme for solving such problem in which the involved equilibrium bifunctions f and g are pseudomonotone and monotone, respectively, and the operators S and T are all pseudocontractive. We show that the suggested scheme converges strongly to a solution of the considered problem.

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Bioinspired Dual-Mode Stretchable Strain Sensor Based on Magnetic Nanocomposites for Strain/Magnetic Discrimination

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SMALL 2023年第1期19卷 2205316-2205316页

作者： Guo, Xiaohui Hong, Weiqiang Zhao, Yunong Zhu, Tong Liu, Long Li, Hongjin Wang, Ziwei Wang, Dandan Mai, Zhihong Zhang, Tianxu Yang, Jinyang Zhang, Fengzhe Xia, Yun Hong, Qi Xu, Yaohua Yan, Feng Wang, Ming Xing, Guozhong Anhui Univ Sch Integrated Circuits Key Lab Intelligent Comp & Signal Proc Minist Educ Hefei 230601 Peoples R China Anhui Prov Key Lab Target Recognit & Feature Extra Luan 237010 Peoples R China Huazhong Univ Sci & Technol Sch Opt & Elect Informat Wuhan 430074 Peoples R China Univ Chinese Acad Sci Chinese Acad Sci Inst Microelect Key Lab Microelect Devices & Integrated Technol Beijing 100029 Peoples R China Hubei JiuFengShan Lab Future Sci & Technol City Wuhan 420000 Hubei Peoples R China Bengbu Zhengyuan Elect Technol Co Ltd Bengbu 233000 Peoples R China Univ Alabama Dept Met & Mat Engn Tuscaloosa AL 35487 USA Fudan Univ Frontier Inst Chip & Syst Shanghai 200433 Peoples R China

Recently, flexible stretchable sensors have been gaining attention for their excellent adaptability for electronic skin applications. However, the preparation of stretchable strain sensors that achieve dual-mode sensing while still retaining ultra-low detection limit of strain, high sensitivity, and low cost is a pressing task. Herein, a high-performance dual-mode stretchable strain sensor (DMSSS) based on biomimetic scorpion foot slit microstructures and multi-walled carbon nanotubes (MWCNTs)/graphene (GR)/silicone rubber (SR)/Fe3O4 nanocomposites is proposed, which can accurately sense strain and magnetic stimuli. The DMSSS exhibits a large strain detection range (approximate to 160%), sensitivity up to 100.56 (130-160%), an ultra-low detection limit of strain (0.16% strain), and superior durability (9000 cycles of stretch/release). The sensor can accurately recognize sign language movement, as well as realize object proximity information perception and whole process information monitoring. Furthermore, human joint movements and micro-expressions can be monitored in real-time. Therefore, the DMSSS of this work opens up promising prospects for applications in sign language pose recognition, non-contact sensing, human-computer interaction, and electronic skin.

关键词： bionic dual-mode magnetic nanocomposites stretchable strain sensors ultra-low detection limit

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Sensing User's Activity, Channel, and Location With Near-Field Extra-Large-Scale MIMO

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IEEE TRANSACTIONS ON COMMUNICATIONS 2024年第2期72卷 890-906页

作者： Qiao, Li Liao, Anwen Li, Zhuoran Wang, Hua Gao, Zhen Gao, Xiang Su, Yu Xiao, Pei You, Li Ng, Derrick Wing Kwan Beijing Inst Technol Sch Informat & Elect Beijing 100081 Peoples R China Univ Surrey 5GIC 6GIC Ctr Guildford GU2 7XH England Univ Surrey Inst Commun Syst ICS Guildford GU2 7XH England Nanjing Res Inst Elect Technol Nanjing 210039 Peoples R China Beijing Inst Technol MIIT Key Lab Complex Field Intelligent Sensing Beijing 100081 Peoples R China Beijing Inst Technol Jiaxing Yangtze Delta Reg Acad Jiaxing 314019 Peoples R China Beijing Inst Technol Adv Technol Res Inst Jinan 250307 Peoples R China Beijing Inst Technol Sch Integrated Circuits & Elect Beijing 100081 Peoples R China China Mobile Chengdu Inst Res & Dev Chengdu 610000 Sichuan Peoples R China Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Peoples R China Purple Mt Labs Nanjing 211100 Peoples R China Univ New South Wales Sch Elect Engn & Telecommun Sydney NSW 2025 Australia

This paper proposes a grant-free massive access scheme based on the millimeter wave (mmWave) extra-large-scale multiple-input multiple-output (XL-MIMO) to support massive Internet-of-Things (IoT) devices with low latency, high data rate, and high localization accuracy in the upcoming sixth-generation (6G) networks. The XL-MIMO consists of multiple antenna subarrays that are widely spaced over the service area to ensure line-of-sight (LoS) transmissions. First, we establish the XL-MIMO-based massive access model considering the near-field spatial non-stationary (SNS) property. Then, by exploiting the block sparsity of subarrays and the SNS property, we propose a structured block orthogonal matching pursuit algorithm for efficient active user detection (AUD) and channel estimation (CE). Furthermore, different sensing matrices are applied in different pilot subcarriers for exploiting the diversity gains. Additionally, a multi-subarray collaborative localization algorithm is designed for localization. In particular, the angle of arrival (AoA) and time difference of arrival (TDoA) of the LoS links between active users and related subarrays are extracted from the estimated XL-MIMO channels, and then the coordinates of active users are acquired by jointly utilizing the AoAs and TDoAs. Simulation results show that the proposed algorithms outperform existing algorithms in terms of AUD and CE performance and can achieve centimeter-level localization accuracy.

关键词： Internet of Things massive access active user detection channel estimation millimeter-wave extra-large-scale MIMO wireless sensing and localization

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intelligent Microsystem for Sound Event Recognition in Edge Computing Using End-to-End Mesh Networking

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SENSORS 2023年第7期23卷 3630-3630页

作者： Hou, Lulu Duan, Wenrui Xuan, Guozhe Xiao, Shanpeng Li, Yuan Li, Yizheng Zhao, Jiahao Beijing Informat Sci & Technol Univ Sch Instrument Sci & Optoelect Engn Beijing 100192 Peoples R China Tsinghua Univ Dept Precis Instrument Beijing 100084 Peoples R China Tsinghua Univ Key Lab Smart Microsyst Minist Educ Beijing 100084 Peoples R China State Key Lab Precis Measurement Technol & Instrum Beijing 100084 Peoples R China Beijing Lab Biomed Detect Technol & Instrument Beijing 100084 Peoples R China Beijing Adv Innovat Ctr Integrated Circuits Beijing 100084 Peoples R China China Mobile Res Inst Beijing 100053 Peoples R China Tsinghua Univ China Mobile Joint Res Inst IoT Intelligent Microsyst Ctr Beijing 100084 Peoples R China

Wireless acoustic sensor networks (WASNs) and intelligent microsystems are crucial components of the Internet of Things (IoT) ecosystem. In various IoT applications, small, lightweight, and low-power microsystems are essential to enable autonomous edge computing and networked cooperative work. This study presents an innovative intelligent microsystem with wireless networking capabilities, sound sensing, and sound event recognition. The microsystem is designed with optimized sensing, energy supply, processing, and transceiver modules to achieve small size and low power consumption. Additionally, a low-computational sound event recognition algorithm based on a Convolutional Neural Network has been designed and integrated into the microsystem. Multiple microsystems are connected using low-power Bluetooth Mesh wireless networking technology to form a meshed WASN, which is easily accessible, flexible to expand, and straightforward to manage with smartphones. The microsystem is 7.36 cm(3) in size and weighs 8 g without housing. The microsystem can accurately recognize sound events in both trained and untrained data tests, achieving an average accuracy of over 92.50% for alarm sounds above 70 dB and water flow sounds above 55 dB. The microsystems can communicate wirelessly with a direct range of 5 m. It can be applied in the field of home IoT and border security.

关键词： wireless acoustic sensor network intelligent microsystem sound event recognition edge computing BLE mesh acoustic signal processing meshed network

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Gait Phase Classification Based on sEMG Signals Using Long Short-Term Memory for Lower Limb Exoskeleton Robot

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IOP Conference Series: Materials Science and Engineering 2020年第1期853卷

作者： Ye Yuan Ziming Guo Can Wang Shengcai Duan Lufeng Zhang Xinyu Wu Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences CAS Key Laboratory of Human-Machine Intelligence-Synergic Systems Shenzhen Institutes of Advanced Technology Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University.

In this work, we present a Long Short-Term Memory Model (LSTMM) for gait phase classification based on sEMG signals to control the lower limb exoskeleton robot which can recognize 2 phases (Stand and Swing) of leg phases between the foot and ground. This model only needs four sEMG signals to control the lower limb exoskeleton robot helping the hemiplegia patient walking. Compared with the existing methods, the proposed model not only avoids the complex sensor systems but also enhances the accuracy of gait phase classification. The experimental results first verify the availability of sEMG data acquisition system on the lower limb exoskeleton robot made by the Shenzhen Institutes of Advanced Technologies (SIAT) by quantify the system with gold standard optoelectronic system Vicon, then show that the proposed LSTMM is significantly higher on prediction accuracy and has better robustness for gait phase classification to control the lower limb exoskeleton robot with different speeds. Finally, the maximum accuracy of LSTMM on the gait phase classification is 97.89%.

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