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Preference detection of the humanoid robot face based on EEG and eye movement

Neural Computing and Applications 2024年第19期36卷 11603-11621页

作者： Wang, Pengchao Mu, Wei Zhan, Gege Wang, Aiping Song, Zuoting Fang, Tao Zhang, Xueze Wang, Junkongshuai Niu, Lan Bin, Jianxiong Zhang, Lihua Jia, Jie Kang, Xiaoyang Laboratory for Neural Interface and Brain Computer Interface Engineering Research Center of AI and Robotics Ministry of Education Shanghai Engineering Research Center of AI and Robotics MOE Frontiers Center for Brain Science State Key Laboratory of Medical Neurobiology Institute of AI and Robotics Academy for Engineering and Technology Fudan University Shanghai200433 China Ji Hua Laboratory Guangdong Province Foshan528200 China Department of Rehabilitation Medicine Huashan Hospital Fudan University Shanghai200040 China Yiwu Research Institute of Fudan University Zhejiang Yiwu322000 China Research Center for Intelligent Sensing Zhejiang Lab Hangzhou311121 China

The face of a humanoid robot can affect the user experience, and the detection of face preference is particularly important. Preference detection belongs to a branch of emotion recognition that has received much attention from researchers. Most of the previous preference detection studies have been conducted based on a single modality. In this paper, we detect face preferences of humanoid robots based on electroencephalogram (EEG) signals and eye movement signals for single modality, canonical correlation analysis fusion modality, and bimodal deep autoencoder (BDAE) fusion modality, respectively. We validated the theory of frontal asymmetry by analyzing the preference patterns of EEG and found that participants had higher alpha wave energy for preference faces. In addition, hidden preferences extracted by EEG signals were better classified than preferences from participants' subjective feedback, and also, the classification performance of eye movement data was improved. Finally, experimental results showed that BDAE multimodal fusion using frontal alpha and beta power spectral densities and eye movement information as features performed best, with the highest average accuracy of 83.13% for the SVM and 71.09% for the KNN. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Electroencephalography

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Aircraft altitude estimation method based on thermal infrared multispectral feature matching

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Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves 2025年第2期44卷 227-233页

作者： Yang, Li-Feng Chen, Zhuo Chen, Fan-Sheng Wang, Jian-Yu Key Laboratory of Space Active Opto-Electronics Technology Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai200083 China University of Chinese Academy of Sciences Beijing100049 China Beijing Remote Sensing Information Research Institute Beijing100011 China Key Laboratory of Intelligent Infrared Perception Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai200083 China

The acquisition of aircraft altitude information is crucial for aviation safety and traffic control applications. Currently，it is difficult to obtain the altitude information of aircraft only through passive remote sensing methods. By combining atmospheric parameters retrieval and high-sensitivity infrared detection technology，space-borne remote sensing platforms can achieve accurate measurement of target thermal radiation information and have the potential for quantitative observation of aircraft characteristic information. A method for estimating the altitude of airborne targets based on infrared multi-channel feature matching is proposed in this paper. Firstly，a thermal infrared radiation characteristic observation model of aircraft is established，which is based on the thermal infrared radiation characteristics of large aircraft and atmospheric radiative transfer models. Secondly，based on the observation model，a spectral database of aircraft at different altitudes and flight states under different atmospheric conditions can be obtained by simulating. Thirdly，target spectral information can be extracted from remote sensing images and the altitude information can be estimated with spectral angle matching（SAM）. Finally，verification and analysis were completed using simulation data and SDG-SAT-1 in-orbit data. The results indicate that the proposed method can achieve kilometer-level estimation accuracy for aircraft at cruising altitude. This method provides a new solution for estimating the altitude of aircraft and has important application potential. © 2025 Chinese Optical Society. All rights reserved.

关键词： Remote sensing

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Knowledge-Guided BiTCN Prototypical Network for Few-Shot Radar HRRP Target Recognition

Knowledge-Guided BiTCN Prototypical Network for Few-Shot Rad...

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IEEE International Symposium on Geoscience and Remote sensing (IGARSS)

作者： Jiaqi Zhou Jixi Li Weiwei Guo Xin Zheng Wenxian Yu Shanghai Key Laboratory of Intelligent Sensing and Recognition Shanghai Jiao Tong University Shanghai China Center of Digital Innovation Tongji University Shanghai China Shanghai Academy of Spaceflight Technology Shanghai China

ISBN: (数字)9798350360325

ISBN: (纸本)9798350360332

The high-resolution range profile (HRRP) plays an important role in radar automatic target recognition (RATR) due to its rich target structure information and small data volume. However, it is difficult for HRRP to obtain sufficient data, especially for non-cooperative target, so few-shot HRRP target recognition methods have emerged. Inspired by human cognitive neuroscience, we compensate for the sample shortage by introducing semantic knowledge, focusing on key distinguishing features of categories while ignoring noise through knowledge guidance. To this end, we propose a knowledge-guided BiTCN prototypical network, where semantic knowledge is presented in the form of knowledge graph embeddings, HRRP feature extraction is completed using the temporal model BiTCN (bidirectional temporal convolutional network), and then knowledge-guided attention is used to enhance class prototypes. The experimental results demonstrate the effectiveness of our method.

关键词： Knowledge engineering Sensitivity Target recognition Azimuth Semantics Noise Prototypes

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Thermodynamic Analysis of Multi-Stage Thermal Compression Bonding for Fabricating Vertically Stacked Micro-Led Array

Thermodynamic Analysis of Multi-Stage Thermal Compression Bo...

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China International Forum o Solid State Lighting: International Forum on Wide Bandgap Semiconductors China (SSLChina: IFWS)

作者： Lianyu Wang Kailin Ren Luqiao Yin Jianhua Zhang School of Microelectronics Shanghai University Shanghai China Shanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology Shanghai University Shanghai China Shanghai Key Laboratory of Chips and Systems for Intelligent Connected Vehicle Shanghai University Shanghai China Key Laboratory of Advanced Display and System Applications (Ministry of Education) Shanghai University Shanghai China

ISBN: (数字)9798331541149

ISBN: (纸本)9798331541156

Vertical full-color Micro-LEDs based on flip-chip bonding technology are of great significance in high-resolution display applications, as they have many advantages such as high pixel density, high brightness, and wide color gamut. However, the construction of vertical full-color Micro-LEDs requires multiple thermal compression bonding (TCB). Therefore, thermal stress analysis during multiple TCB is necessary. In this work, the surface thermal stress of a 5×5 vertical Micro-LED array during multi-stage TCB is studied by finite element method (FEM) simulations. The stresses at LED-LED bonding interface and stacked LED-backplane bonding interface as well as the interactions between the two bondings are investigated. The results of different bonding temperatures, material combinations, and interconnected metal diameters and depths on the mean stresses at the bonding interface are analyzed, and then the adequacy of bonding and risk of debonding are assessed. The results show that among the hybrid bonding material combinations set in the simulation, the Cu/ Al 2 O 3 has the largest interfacial stress. In addition, decreasing the interconnected metal diameter and lowering the bonding temperature can relieve the interfacial stress, while the interconnected metal depth has no significant effect on the bonding stress. The key advantage of this work is that it can help establish design and process guidelines to shorten the development cycle of vertical full-color Micro-LEDs based on flip-chip bonding technology.

关键词： Thermodynamics Photonic band gap Metals Thermal analysis Finite element analysis Flip-chip devices Bonding Stress Thermal stresses Guidelines

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Monolithically Integrated Temperature Sensor Based on p-GaN/AlGaN/GaN Heterostructure

Monolithically Integrated Temperature Sensor Based on p-GaN/...

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China International Forum o Solid State Lighting: International Forum on Wide Bandgap Semiconductors China (SSLChina: IFWS)

作者： Qingxin Liu Kailin Ren Luqiao Yin Jianhua Zhang School of Microelectronics Shanghai University Shanghai China Shanghai Key Laboratory of Chips and Systems for Intelligent Connected Vehicle Shanghai University Shanghai China Shanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology Shanghai University Shanghai China Key Laboratory of Advanced Display and System Applications (Ministry of Education) Shanghai University Shanghai China

ISBN: (数字)9798331541149

ISBN: (纸本)9798331541156

A monolithically integrated temperature sensor circuit based on a p-GaN/AlGaN/GaN heterojunction is proposed. The sensor comprises two parts: the first part is a temperature-sensitive voltage source formed by a two-dimensional electron gas (2DEG) resistor and a schottky barrier diode (SBD) in series, and the second part is a resistor-transistor logic (RTL) inverter formed by a 2DEG resistor and a p-GaN high electron mobility transistor (HEMT) in series. The output voltage of the temperature-sensitive voltage source is connected to the gate of the p-GaN HEMT in the second part, providing the gate voltage. According to data obtained from TCAD simulation results, the output voltage of the temperature-sensitive voltage source exhibits positive temperature dependence. The output voltage of the RTL inverter exhibits a negative temperature dependence. When the temperature sensor is properly biased, the voltage division between the SBD and the 2DEG resistor in the temperature-sensitive voltage source reallocates as the temperature rises, causing the gate voltage of the connected RTL inverter to increase. This increasement enhances the temperature-induced variation in the RTL inverter's output voltage, increasing the sensitivity of the temperature sensing circuit from 4 mV/K with a fixed gate voltage to 14 mV/K. This simulation demonstrates a compact monolithic integration sensor for monitoring the on-chip temperature of GaN power integrated circuits for protection and control.

关键词： Temperature sensors Resistors Temperature dependence Sensitivity HEMTs Logic gates Thermal management Inverters System-on-chip MODFETs

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A Novel Monolithic Integration of Light-Emitting HEMT with InGaN Quantum Well Insertion Performing as Optoelectronic Devices

A Novel Monolithic Integration of Light-Emitting HEMT with I...

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China International Forum o Solid State Lighting: International Forum on Wide Bandgap Semiconductors China (SSLChina: IFWS)

作者： Jijun Zhu Hanlin Yang Haoyu Wang Yangyang Hu Luqiao Yin Jianhua Zhang Kailin Ren School of Microelectronics Shanghai University Shanghai China Shanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology Shanghai University Shanghai China Shanghai Key Laboratory of Chips and Systems for Intelligent Connected Vehicle Shanghai University Shanghai China Shanghai Aerospace Control Technology Institute Shanghai China

ISBN: (数字)9798331541149

ISBN: (纸本)9798331541156

Visible light communication (VLC) technology based on GaN light emitting diode (LED) has been widely studied because of its wide bandwidth and high reliability. However, low integration is one of the main factors limiting the development of VLC technology at present. This study reports a novel GaN-based light emitting diode-high electron mobility transistor (LED-HEMT) monolithically integrated device. The light efficiency is improved not only by adding InGaN quantum well layer at the AlGaN/GaN interface, but also thin Ni/Au layer is used as a substitute for the traditional indium tin oxide (ITO) layer to realize the current expansion function, so that the device has faster switching speed and reliable light modulation ability. The influence of gate-source voltage (V GS ) and applied drain voltage (V DD ) on the control capability of LED-HEMT was studied. The integrated LED-HEMT exhibited output current can reach 309 mA/mm when the HEMT was modulated with V DD = 14 V and V GS = 2 V, which driving capability is better to previous Si-based MOSFETs, demonstrating good output performance. The peak of the emission spectrum is at 445 nm when I Ds = 15 mA. This work offers a novel approach to the monolithic integration of LED-HEMT and provides reference for the application of Micro-LED in the fields of visible light communication and optoelectronic detection.

关键词： Performance evaluation Optical switches Indium tin oxide Monolithic integrated circuits HEMTs Light emitting diodes Wide band gap semiconductors Transistors Voltage control Visible light communication

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Flood Change detection Based on Prior Feature Estimation

Flood Change Detection Based on Prior Feature Estimation

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IEEE International Symposium on Geoscience and Remote sensing (IGARSS)

作者： Xinyu Xu Mingkang Xiong Sinong Quan Jie Chen Tao Zhang Feiming Wei Shanghai Key Laboratory of Intelligent Sensing and Recognition Shanghai Jiao Tong University Shanghai China Midea Group Midea Corporate Research Center Foshan China College of Electronic Science and Technology National University of Defense Technology Changsha China Information Materials and Intelligent Sensing Laboratory of Anhui Province Anhui University Hefei China

ISBN: (数字)9798350360325

ISBN: (纸本)9798350360332

Flood caused by torrential rain is one of the most influential meteorological disasters in the world. Currently, most of the flood change detection networks are based on homogeneous images. However, due to the influence of bad weather and satellite revisit cycle, the acquisition of homogeneous images is greatly limited. In this paper, a novel heterogeneous image change detection network based on prior feature estimation is proposed. In order to better guide the network to find the solution space related to change, we propose feature enhancement module to strengthen the water body features and introduce auxiliary information. At the same time, the fusion module is designed to solve the problem that the feature space of heterogeneous images is difficult to align while mapping water features into changing features. Experimental results on the CAU-Flood dataset demonstrate the effectiveness of our network.

关键词： Satellites Rain Disasters Estimation Geoscience and remote sensing Feature extraction Floods

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Portable and Versatile Electronic Nose System Based on Edge Computing and Multi-task Model

Portable and Versatile Electronic Nose System Based on Edge ...

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IEEE SENSORS

作者： Wangze Ni Tao Wang Jiaqing Zhu Zhuoheng Li Lechen Chen Weiwei Cheng Haixia Mei Fuzhen Xuan Jianhua Yang Min Zeng Nantao Hu Zhi Yang National Key Laboratory of Advanced Micro and Nano Manufacture Technology Shanghai Jiao Tong University Shanghai China Department of Micro/Nano Electronics School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Shanghai Key Laboratory of Intelligent Sensing and Detection Technology School of Mechanical and Power Engineering East China University of Science and Technology Shanghai China School of Materials Science and Engineering Shanghai University of Engineering Science Shanghai China Key Lab Intelligent Rehabil & Barrier free Disable Changchun University Changchun China

ISBN: (数字)9798350363517

ISBN: (纸本)9798350363524

The electronic nose (E-nose) has been widely used in various gas detection scenarios, such as environmental monitoring and smart homes. However, the lack of portability, versatility, and low predictive accuracy of existing E-nose systems have significantly hindered their further application across different fields. This study proposes a portable and versatile E-nose system to address these issues. A plug-in connection between the two boards is achieved by designing the system to separate the sensor board from the main board, enabling fast sensor replacement. An artificial neural network (ANN) is deployed on the microcontroller unit of the main board. Once gas response data is obtained from the sensor board, the onboard ANN model analyzes the data and simultaneously predicts the type and concentration of the target gas independently. Notably, the E-nose system can achieve high accuracy in multi-task deep learning with a prediction time of only 2 ms. Benefiting from edge computing and the multi-task model, our E-nose system is expected to be utilized in high-performance and real-time air quality monitoring.

关键词： Accuracy Computational modeling Atmospheric modeling Artificial neural networks Predictive models Multitasking Electronic noses Real-time systems Integrated circuit modeling Edge computing

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Carbon isotope ratios of n-alkanoic acids: new organic proxies for paleo-productivity in Antarctic ponds

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Advances in Polar Science 2023年第4期34卷 304-317页

作者： CHEN Xin JIN Jing NIE Yaguang ZHANG Jifeng DONG Liang HUANG Xianyu Steven DEMSLIE LIU Xiaodong Anhui Province Key Laboratory of Polar Environment and Global Change School of Earth and Space SciencesUniversity of Science and Technology of ChinaHefei 230026China School of Oceanography Shanghai Jiao Tong UniversityShanghai 200030China Key Laboratory for Polar Ecosystem and Climate Change of Ministry of Education School of OceanographyShanghai Jiao Tong UniversityShanghai 200030China Information Materials and Intelligent Sensing Laboratory of Anhui Province Institutes of Physical Science and Information TechnologyAnhui UniversityHefei 230601China Research Center for Ecology College of ScienceTibet UniversityLhasa 850000China Key Laboratory of Polar Science MNRPolar Research Institute of ChinaShanghai 200136China Hubei Key Laboratory of Critical Zone Evolution School of Geography and Information EngineeringChina University of GeosciencesWuhan 430078China Department of Biology and Marine Biology University of North CarolinaWilmingtonNC 28403USA

Primary productivity in the Antarctic aquatic environment with simple ecosystems is sensitive to climate and environmental *** investigatedδ13C values for n-alkanoic acids derived from phototrophic organisms in a lacustrine sediment core(IIL3)to indicate primary productivity in ponds on Inexpressible Island in the western Ross Sea,***-chain n-alkanoic acids(C14–C18)were abundant in the IIL3 sediment *** carbon isotope ratios of short-chain n-alkanoic acids in the sediment samples and floating microbial mats were similar,indicating that the short-chain n-alkanoic acids in the IIL3 sediment profile predominantly originated from phototrophic ***δ13C values for the short-chain n-alkanoic acids varied widely through the sediment profile,and 13C-enrichment of n-alkanoic acids was most likely related to high productivity due to carbon-limited conditions caused by enhanced photosynthetic ***δ13C values for the n-alkanoic acids changed over the past 3200 years in similar ways to organic proxies for aquatic productivity(n-alkanoic acid and sterol sedimentary fluxes).C16 n-alkanoic acid was enriched in 13C in periods of high aquatic productivity~750–1650 and 3000–3200 a BP but depleted in 13C in periods of relatively low productivity~150–600 and 2500–3000 a *** results indicated that carbon isotope ratios of lipids from phototrophic organisms could be used as new proxies to reconstruct paleo-productivity in Antarctic lakes and ponds and therefore improve our understanding of past climate changes.

关键词： East Antarctica lipid biomarkers carbon isotopic ratios pond primary productivity climate change

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Droplet Laplace valve-enabled glaucoma implant for intraocular pressure management

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Droplet 2024年第2期3卷 125-137页

作者： Yuyang Wang Zecong Fang Sen Li Kexin Lin Zhifeng Zhang Junyi Chen Tingrui Pan Center for Intelligent Medical Equipment and Devices(iMED) Institute for Innovative Medical DevicesUniversity of Science and Technology of ChinaHefeiChina Suzhou Institute for Advanced Research University of Science and Technology of ChinaSuzhouChina Department of Precision Machinery and Precision Instrumentation University of Science and Technology of ChinaHefeiChina Bionic Sensing and Intelligence Center(BSIC) Institute of Biomedical and Health EngineeringShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenChina School of Engineering Hangzhou Normal UniversityHangzhouChina School of Biomedical Engineering Division of Life Science and MedicineUniversity of Science and Technology of ChinaHefeiChina Engineering Science and Mechanics Department Penn State UniversityUniversity ParkPennsylvaniaUSA Department of Ophthalmology and Visual Science Eye and ENT HospitalShanghai Medical CollegeFudan UniversityShanghaiChina NHC Key Laboratory of Myopia Chinese Academy of Medical Sciences and Shanghai Key Laboratory of Visual Impairment and Restoration(Fudan University)ShanghaiChina

Glaucoma,the leading cause of irreversible blindness worldwide,is closely linked to aqueous overaccumulation and elevated intraocular pressure(IOP).For refractory glaucoma,aqueous shunts with valves are commonly implanted for effective aqueous drainage control and IOP ***,existing valved glaucoma implants have the disadvantages of inconsistent valve opening/closing pressures,poor long-term repeatability due to their reliance on moving parts,and complex architectures and fabrication ***,we propose a novel valving concept,the droplet Laplace valve(DLV),a three-dimensional printable moving-parts-free microvalve with customizable and consistent threshold valving *** DLV uses a flow discretization unit governed by capillarity,comprising a droplet-forming nozzle,and a separated reservoir to digitize continuous flow into quantifiable *** the classic one-time-use Laplace valves,the DLV's unique design allows for its *** opening pressure is adjustable by varying the nozzle size,like the classic Laplace valves(following the Young–Laplace equation),while the closing pressure can be modified by tuning the separation distance and the reservoir *** DLVs with customizable opening pressures from 5 to 11 mmHg have been demonstrated,with opening/closing pressure differences suppressed down to<0.5 mmHg(<0.15 mmHg under the best conditions).Thanks to its moving-parts-free nature and digitized flow properties,the DLV shows a highly repeatable valving performance(<1.7%,1000 cycles)and a predictable linear flow rate–pressure correlation(R^(2)>0.99).Preliminary ex vivo validation in an enucleated porcine eye confirms the DLV's efficiency in aqueous shunting and prompt IOP *** DLV technology holds great promise in glaucoma implants for IOP management and various microsystems for flow control.

关键词： holds irreversible inconsistent

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