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Machine-learned wearable sensors for real-time hand-motion recognition: toward practical applications

National Science Review 2024年第2期11卷 231-263页

作者： Kyung Rok Pyun Kangkyu Kwon myung jin Yoo Kyun Kyu Kim Dohyeon Gong Woon-Hong Yeo Seungyong Han Seung Hwan Ko Department of Mechanical Engineering Seoul National University IEN Center for Human-Centric Interfaces and Engineering Institute for Electronics and NanotechnologyGeorgia Institute of Technology School of Electrical and Computer Engineering Georgia Institute of Technology Department of Chemical Engineering Stanford University Department of Mechanical Engineering Ajou University George W.Woodruff School of Mechanical Engineering Georgia Institute of Technology Institute of Advanced Machinery and Design(SNU-IAMD) Seoul National University

Soft electromechanical sensors have led to a new paradigm of electronic devices for novel motion-based wearable applications in our daily lives. However, the vast amount of random and unidentified signals generated by complex body motions has hindered the precise recognition and practical application of this technology. Recent advancements in artificial-intelligence technology have enabled significant strides in extracting features from massive and intricate data sets, thereby presenting a breakthrough in utilizing wearable sensors for practical applications. Beyond traditional machine-learning techniques for classifying simple gestures, advanced machine-learning algorithms have been developed to handle more complex and nuanced motion-based tasks with restricted training data sets. Machine-learning techniques have improved the ability to perceive, and thus machine-learned wearable soft sensors have enabled accurate and rapid human-gesture recognition, providing real-time feedback to users. This forms a crucial component of future wearable electronics, contributing to a robust human–machine interface. In this review, we provide a comprehensive summary covering materials, structures and machine-learning algorithms for hand-gesture recognition and possible practical applications through machine-learned wearable electromechanical sensors.

关键词： wearable sensor soft electronics artificial intelligence machine learning human–machine interfaces gesture recognition

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Defect Detection Model Using Time Series Data Augmentation and Transformation

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Computers, Materials & Continua 2024年第2期78卷 1713-1730页

作者： Gyu-Il Kim Hyun Yoo Han-jin Cho Kyungyong chung Department of Computer Science Kyonggi UniversitySuwon-si16227Korea Contents Convergence Software Research Institue Kyonggi UniversitySuwon-si16227Korea Department of Energy IT Engineering Far East UniversityEumsung-gun27601Korea Division of AI Computer Science and Engineering Kyonggi UniversitySuwon-si16227Korea

Time-series data provide important information in many fields,and their processing and analysis have been the focus of much research.However,detecting anomalies is very difficult due to data imbalance,temporal dependence,and noise.Therefore,methodologies for data augmentation and conversion of time series data into images for analysis have been studied.This paper proposes a fault detection model that uses time series data augmentation and transformation to address the problems of data imbalance,temporal dependence,and robustness to noise.The method of data augmentation is set as the addition of noise.It involves adding Gaussian noise,with the noise level set to 0.002,to maximize the generalization performance of the model.In addition,we use the Markov Transition Field(MTF)method to effectively visualize the dynamic transitions of the data while converting the time series data into images.It enables the identification of patterns in time series data and assists in capturing the sequential dependencies of the data.For anomaly detection,the PatchCore model is applied to show excellent performance,and the detected anomaly areas are represented as heat maps.It allows for the detection of anomalies,and by applying an anomaly map to the original image,it is possible to capture the areas where anomalies occur.The performance evaluation shows that both F1-score and Accuracy are high when time series data is converted to images.Additionally,when processed as images rather than as time series data,there was a significant reduction in both the size of the data and the training time.The proposed method can provide an important springboard for research in the field of anomaly detection using time series data.Besides,it helps solve problems such as analyzing complex patterns in data lightweight.

关键词： Defect detection time series deep learning data augmentation data transformation

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Fabrication of La,Ce co-doped ZnO nanorods for improving photodegradation of methylene blue

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Journal of Rare Earths 2024年第1期42卷 76-83,I0003页

作者： Erfan Hakim Azmal Zaid jin-chung Sin Sze-Mun Lam Abdul Rahman Mohamed School of Chemical Engineering Universiti Sains Malaysia(USM)14300Nibong TebalPenangMalaysia College of Environmental Science and Engineering Guilin University of TechnologyGuilin541004China Guangxi Key Laboratory of Theory and Technology for Environmental Pollution Control Guilin University of TechnologyGuilin541004China Collaborative Innovation Center for Water Pollution Control and Water Safety in Karst Area Guilin University of TechnologyGuilin541004China Faculty of Engineering and Green Technology Universiti Tunku Abdul RahmanJalan UniversitiBandar Barat31900KamparPerakMalaysia

La,Ce co-doped ZnO nanorods(ZnLC)were synthesized through a one-step solvothermal route.The photocatalysts were characterized by X-ray diffraction,Raman spectroscopy,field-emission scanning electron microscopy,energy dispersive X-ray,transmission electron microscopy,UV-vis diffuse reflectance spectroscopy and photo luminescence spectroscopy.The La and Ce doping enhanced the visible light absorption ability of ZnLC and a red shift was detected for ZnLC.Under simulated solar light irradiation,the ZnO doped with 3 at%La and 1 at%Ce(ZnLC1)degrades methylene blue(MB)more effectively than those of pure ZnO,La-doped ZnO(ZnL)and commercially available ZnO.The improved photocatalytic performance of ZnLC1 can be attributed to the high charge separation efficiency as demonstrated by the photoluminescence spectra.Additionally,the photocatalytic experiments reveal that several parameters have their own impact on the MB degradation.Using a variety of radical scavengers,it is discovered that superoxide anion radical plays a crucial role in the degradation of MB.The ZnLC1 is also reused several times without noticeable decrease of photoactivity,indicating that it has a substantial potential for environmental remediation applications.

关键词： ZnO Lanthanum Cerium Co-doping Photodegradation Rare earths

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Ten- year follow- up investigation of stroke risk in systemic lupus erythematosus

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Stroke & Vascular Neurology 2024年第1期9卷 1-7页

作者： jin-An Huang Ching-Heng Lin Ming-Ju Wu Yi-Hsing Chen Kuo-Cheng Chang chung-Wei Hou Division of Neurology Neurological InstituteTaichung Veterans General HospitalTaichungTaiwan Department of Health Business Administration Hungkuang UniversityTaichungTaiwan Department of Medical Research Taichung Veterans General HospitalTaichungTaiwan Division of Nephrology Department of Internal MedicineTaichung Veterans General HospitalTaichungTaiwan School of Medicine Chung Shan Medical UniversityTaichungTaiwan College of Medicine National Chung Hsing UniversityTaichungTaiwan Division of Allergy Immunology and RheumatologyDepartment of Internal MedicineTaichung Veterans General HospitalTaichungTaiwan School of Medicine National Yang-Ming Chiao Tung UniversityTaichungTaiwan

Background and purpose To analyse the long-term risk of ischaemic stroke and the clinical effects of antithrombotics on the risk of haemorrhagic stroke in patients with systemic lupus erythematosus(SLE).Methods A retrospective cohort study was conducted using a population-based database taken from Taiwan National Health Insurance Research Database.Patients with SLE between 2000 and 2008 were registered and matched with two controls by the index date,age,gender and Charlson Comorbidity Index(CCI).These subjects were followed until either stroke event or 31 December 2013.Adjusted HRs(aHRs)for strokes were estimated with Cox regression models,and the cumulative incidence of ischaemic stroke was analysed by log-rank test and Kaplan-Meier survival analysis.Results In total,8310 patients with SLE and 16620 patients without SLE were included.In general,patients with SLE had higher rates of ischaemic stroke(5.4%vs 3.3%)and haemorrhagic stroke(1.5%vs 0.6%)than in controls.In multivariate analysis adjusted to age,gender,CCI,urbanisation level and antithrombotics uses,aHRs of all strokes,ischaemic stroke and haemorrhagic stroke were 1.73(95%CI:1.54 to 1.94),1.65(95%CI:1.45 to 1.87)and 2.24(95%CI:1.71 to 2.95),respectively,in patients with SLE.Patients with SLE were significantly more likely to suffer ischaemic stroke than patients without SLE,even 10 years after SLE diagnosis(6.12%vs 3.50%,p<0.001).Antiplatelet use increased the risk of haemorrhagic stroke in SLE group(aHR=1.74,95%CI:1.18 to 2.57).Conclusions Patients with SLE are at greater risk of developing ischaemic stroke that lasts for 10 years.Antiplatelets should be carefully administered to prevent cardiovascular events in patients with SLE due to the risk of haemorrhagic stroke.

关键词： erythematosus diagnosis likely

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Neural Wiskott-Aldrich syndrome protein(N-WASP)promotes distant metastasis in pancreatic ductal adenocarcinoma via activation of LOXL2

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Oncology Research 2024年第4期32卷 615-624页

作者： HYUNG SUN KIM YUN SUN LEE SEUNG myung DONG HYO JUNG KIM DA EUN LEE HYEON WOONG KANG MYEONG jin KIM JOON SEONG PARK Department of Surgery Gangnam Severance HospitalYonsei University College of MedicineSeoulKorea Department of Surgery Graduate School of Medical ScienceBrain Korea 21 ProjectYonsei University College of MedicineSeoulKorea Gibiome Co. Ltd.Gyeonggi-doKorea

Pancreatic ductal adenocarcinoma(PDAC)is one of the most aggressive solid malignancies.A specific mechanism of its metastasis has not been established.In this study,we investigated whether Neural Wiskott-Aldrich syndrome protein(N-WASP)plays a role in distant metastasis of PDAC.We found that N-WASP is markedly expressed in clinical patients with PDAC.Clinical analysis showed a notably more distant metastatic pattern in the N-WASP-high group compared to the N-WASP-low group.N-WASP was noted to be a novel mediator of epithelialmesenchymal transition(EMT)via gene expression profile studies.Knockdown of N-WASP in pancreatic cancer cells significantly inhibited cell invasion,migration,and EMT.We also observed positive association of lysyl oxidase-like 2(LOXL2)and focal adhesion kinase(FAK)with the N-WASP-mediated response,wherein EMT and invadopodia function were modulated.Both N-WASP and LOXL2 depletion significantly reduced the incidence of liver and lung metastatic lesions in orthotopic mouse models of pancreatic cancer.These results elucidate a novel role for N-WASP signaling associated with LOXL2 in EMT and invadopodia function,with respect to regulation of intercellular communication in tumor cells for promoting pancreatic cancer metastasis.These findings may aid in the development of therapeutic strategies against pancreatic cancer.

关键词： Pancreatic cancer Neural Wiskott-Aldrich syndrome protein(N-WASP)signaling Metastasis Epithelial-mesenchymal transition(EMT) Lysyl oxidase-like 2(LOXL2)

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A Cu-Pd alloy catalyst with partial phase separation for the electrochemical CO_(2) reduction reaction

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Journal of Energy Chemistry 2024年第6期93卷 8-15,I0001页

作者： Gyeong Ho Han Jung Yong Seo Minji Kang myung-gi Seo Youngheon Choi Soo Young Kim Sang Hyun Ahn School of Chemical Engineering and Material Science Chung-Ang UniversitySeoul 06974Republic of Korea Lotte Chemical Institute of Technology Daejeon 34110Republic of Korea Department of Materials Science and Engineering Korea UniversitySeoul 02841Republic of Korea

Cu catalysts can convert CO_(2) through an electrochemical reduction reaction into a variety of useful carbon-based products.However,this capability provides an obstacle to increasing the selectivity for a single product.Herein,we report a simple fabrication method for a Cu-Pd alloy catalyst for use in a membrane electrode assembly(MEA)-based CO_(2) electrolyzer for the electrochemical CO_(2) reduction reaction(ECRR)with high selectivity for CO production.When the composition of the Cu-Pd alloy catalyst was fabricated at 6:4,the selectivity for CO increased and the production of multi-carbon compounds and hydrogen is suppressed.Introducing a Cu-Pd alloy catalyst with 6:4 ratio as the cathode of the MEAbased CO_(2) electrolyzer showed a CO faradaic efficiency of 92.8%at 2.4 V_(cell).We assumed that these results contributed from the crystal planes on the surface of the Cu-Pd alloy.The phases of the Cu-Pd alloy catalyst were partially separated through annealing to fabricate a catalyst with high selectivity for CO at low voltage and C_(2)H_4 at high voltage.The results of CO-stripping testing confirmed that when Cu partially separates from the lattice of the Cu-Pd alloy,the desorption of~*CO is suppressed,suggesting that C-C coupling reaction is favored.

关键词： Cu-Pd catalyst Electrodeposition Electrochemical carbon dioxide reduction Partial phase separation Membrane electrode assembly-based electrolyzer

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Risk prediction platform for pancreatic fistula after pancreatoduodenectomy using artificial intelligence

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World Journal of Gastroenterology 2020年第30期26卷 4453-4464页

作者： In Woong Han Kyeongwon Cho Youngju Ryu Sang Hyun Shin jin Seok Heo Dong Wook Choi myung jin chung Oh Chul Kwon Baek Hwan Cho Department of Surgery Samsung Medical CenterSungkyunkwan University School of MedicineSeoul 06351South Korea Medical Artificial Intelligence Research Center Department of Medical Device Management and ResearchSAIHSTSamsung Medical CenterSungkyunkwan University School of MedicineSeoul 06351South Korea Department of Radiology Samsung Medical CenterSungkyunkwan University School of MedicineSeoul 06351South Korea Artificial Intelligence Research Center Medical DataBase IncorporatedSeoul 06048South Korea

BACKGROUND Despite advancements in operative technique and improvements in postoperative managements,postoperative pancreatic fistula(POPF)is a life-threatening complication following pancreatoduodenectomy(PD).There are some reports to predict POPF preoperatively or intraoperatively,but the accuracy of those is questionable.Artificial intelligence(AI)technology is being actively used in the medical field,but few studies have reported applying it to outcomes after PD.AIM To develop a risk prediction platform for POPF using an AI model.METHODS Medical records were reviewed from 1769 patients at Samsung Medical Center who underwent PD from 2007 to 2016.A total of 38 variables were inserted into AI-driven algorithms.The algorithms tested to make the risk prediction platform were random forest(RF)and a neural network(NN)with or without recursive feature elimination(RFE).The median imputation method was used for missing values.The area under the curve(AUC)was calculated to examine the discriminative power of algorithm for POPF prediction.RESULTS The number of POPFs was 221(12.5%)according to the International Study Group of Pancreatic Fistula definition 2016.After median imputation,AUCs using 38 variables were 0.68±0.02 with RF and 0.71±0.02 with NN.The maximal AUC using NN with RFE was 0.74.Sixteen risk factors for POPF were identified by AI algorithm:Pancreatic duct diameter,body mass index,preoperative serum albumin,lipase level,amount of intraoperative fluid infusion,age,platelet count,extrapancreatic location of tumor,combined venous resection,co-existing pancreatitis,neoadjuvant radiotherapy,American Society of Anesthesiologists’score,sex,soft texture of the pancreas,underlying heart disease,and preoperative endoscopic biliary decompression.We developed a web-based POPF prediction platform,and this application is freely available at http://popfrisk.***.org.CONCLUSION This study is the first to predict POPF with multiple risk factors using AI.This platform is reliable(AUC 0.74),so it could be used to select pat

关键词： Postoperative pancreatic fistula Pancreatoduodenectomy Neural networks Recursive feature elimination

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Trial characteristics and treatment effect estimates in randomized controlled trials of Chinese herbal medicine: A meta-epidemiological study

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Journal of Integrative Medicine 2024年第3期22卷 223-234页

作者： Betty H.Wang Ya-li Lin Yin-yan Gao jin-lu Song Lang Qin Ling-qi Li Wen-qi Liu Claire C.W.Zhong Mary Y.Jiang Chen Mao Xiao-bo Yang Vincent C.H.chung Irene X.Y.Wu Jockey Club School of Public Health and Primary Care the Chinese University of Hong KongHong Kong 999077China Xiangya School of Public Health Central South UniversityChangsha 410006Hunan ProvinceChina School of Chinese Medicine the Chinese University of Hong KongHong Kong 999077China School of Public Health Southern Medical UniversityGuangzhou 510080Guangdong ProvinceChina State Key Laboratory of Dampness Syndrome of Chinese Medicine the Second Affiliated Hospital of Guangzhou University of Chinese MedicineGuangzhou 510120Guangdong ProvinceChina Chinese Medicine Syndrome Research Team the Second Affiliated HospitalGuangzhou University of Chinese MedicineGuangzhou 510120Guangdong ProvinceChina Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome Guangzhou 510120Guangdong ProvinceChina Hunan Provincial Key Laboratory of Clinical Epidemiology Central South UniversityChangsha 410006Hunan ProvinceChina

Background:Previously published meta-epidemiological studies focused on Western medicine have identified some trial characteristics that impact the treatment effect of randomized controlled trials(RCTs).Nevertheless,it remains unclear if similar associations exist in RCTs on Chinese herbal medicine(CHM).Further,Chinese medicine-related characteristics have not been explored yet.Objective:To investigate trial characteristics related to treatment effect estimates on CHM RCTs.Search strategy:This meta-epidemiological study searched 5 databases for systematic reviews on CHM treatment published between January 2011 and July 2021.Inclusion criteria:An eligible systematic review should only include RCTs of CHM and conduct at least one meta-analysis.Data extraction and analysis:Two reviewers independently conducted data extraction on general characteristics of systematic reviews,meta-analyses and included RCTs.They also assessed the risk of bias of RCTs using the Cochrane risk of bias tool.A two-step approach was used for data analyses.The ratio of odds ratios(ROR) and difference in standardized mean differences (dSMD) with 95%confidence interval (CI) were applied to present the difference in effect estimates for binary and continuous outcomes,respectively.Results:Ninety-one systematic reviews,comprising 1338 RCTs were identified.For binary outcomes,RCTs incorporated with syndrome differentiation (ROR:1.23;95%CI:[1.07,1.39]),adopting Chinese medicine formula (ROR:1.19;95%CI:[1.03,1.34]),with low risk of bias on incomplete outcome data (ROR:1.29;95%CI:[1.06,1.52]) and selective outcome reporting (ROR:1.12;95%CI:[1.01,1.24]),as well as a trial size≥100 (ROR:1.23;95%CI:[1.04,1.42]) preferred to show larger effect estimates.As for continuous outcomes,RCTs with Chinese medicine diagnostic criteria (dSMD:0.23;95%CI:[0.06,0.41]),judged as high/unclear risk of bias on allocation concealment (dSMD:-0.70;95%CI:[-0.99,-0.42]),with low risk of bias on incomplete outcome data (dSMD:0.30;95%CI:[0.18,0.43]),conducted at a single center

关键词： Chinese herbal medicine Randomized controlled trial Risk of bias Meta-epidemiological study Effect estimates

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Defining minimal invasive surgical therapy for benign prostatic obstruction surgery: Perspectives from a global knowledge, attitude, and practice survey

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Asian Journal of Urology 2024年第1期11卷 55-64页

作者： Bryan Kwun-chung Cheng Steffi Kar-Kei Yuen Daniele Castellani Marcelo Langer Wroclawski Hongda Zhao Mallikarjuna Chiruvella Wei-jin Chua Ho-Yee Tiong Yiloren Tanidir Jean de la Rosette Enrique Rijo Vincent Misrai Amy Krambeck Dean S.Elterman Bhaskar K.Somani Jeremy Yuen-Chun Teoh Vineet Gauhar Department of Surgery United Christian HospitalHong KongChina S.H.Ho Urology Centre Department of SurgeryPrince of Wales HospitalThe Chinese University of Hong KongHong KongChina Department of Urology University Hospital“Ospedali Riuniti”and Polytechnic University of Marche RegionAnconaItaly Hospital Israelita Albert Einstein Sao PauloSPBrazil BP—A Beneficencia Portuguesa de Sao Paulo Sao PauloSPBrazil Faculdade de Medicina do ABC Santo AndreSPBrazil Department of Urology Asian Institute of Nephrology and UrologyHyderabadTGIndia Department of Urology National University HospitalSingapore Department of Urology Marmara University School of MedicineIstanbulTurkey Department of Urology Medipol Mega University HospitalIstanbul Medipol UniversityIstanbulTurkey Department of Urology Hospital Quiron BarcelonaBarcelonaSpain Department of Urology Clinique PasteurToulouseFrance Department of Urology Indiana University School of MedicineIndianapolisINUSA Division of Urology Department of SurgeryUniversity Health NetworkUniversity of TorontoTorontoCanada Department of Urology University Hospital Southampton NHS TrustSouthamptonUK Department of Urology Ng Teng Fong General HospitalNUHSSingapore

Objective:To scrutinize the definitions of minimal invasive surgical therapy(MIST)and to investigate urologists’knowledge,attitudes,and practices for benign prostatic obstruction surgeries.Methods:A 36-item survey was developed with a Delphi method.Questions on definitions of MIST and attitudes and practices of benign prostatic obstruction surgeries were included.Urologists were invited globally to complete the online survey.Consensus was achieved when more than or equal to 70%responses were“agree or strongly agree”and less than or equal to 15%responses were“disagree or strongly disagree”(consensus agree),or when more than or equal to 70%responses were“disagree or strongly disagree”and less than or equal to 15%responses were“agree or strongly agree”(consensus disagree).Results:The top three qualities for defining MIST were minimal blood loss(n=466,80.3%),fast post-operative recovery(n=431,74.3%),and short hospital stay(n=425,73.3%).The top three surgeries that were regarded as MIST were Urolift®(n=361,62.2%),Rezum®(n=351,60.5%),and endoscopic enucleation of the prostate(EEP)(n=332,57.2%).Consensus in the knowledge section was achieved for the superiority of Urolift®,Rezum®,and iTIND®over transurethral resection of the prostate with regard to blood loss,recovery,day surgery feasibility,and post-operative continence.Consensus in the attitudes section was achieved for the superiority of Urolift®,Rezum®,and iTIND®over transurethral resection of the prostate with regard to blood loss,recovery,and day surgery feasibility.Consensus on both sections was achieved for EEP as the option with the better symptoms and flow improvement,lower retreatment rate,and better suitable for prostate more than 80 mL.Conclusion:Minimal blood loss,fast post-operative recovery,and short hospital stay were the most important qualities for defining MIST.Urolift®,Rezum®,and EEP were regarded as MIST by most urologists.

关键词： Benignprostate hyperplasia Minimalinvasive surgical therapy Surgery Bladderoutlet obstruction

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Facial Robot Expression Simulator(FRESi)——A Simulator to Implement Dynamic Facial Expression

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Journal of Measurement Science and Instrumentation 2011年第2期2卷 132-135页

作者： Jeong-woo PARK myung-jin chung EECS Korea Advanced Institute of Science and TechnologyDaejeon 305-701Korea

Most of the robots are nowadays evolving and imitating human social skills to achieve sociable interaction with humans.Socially interactive robots require different characteristics than conventional robots.Likewise human-human interaction,human-robot interaction is also accompanied with emotional interaction.Therefore,the robot’s emotional expression is very important for human,especially facial expressions play an important role among the whole part of the human body.In this paper,we introduce a facial robot expression simulator FRESi.

关键词：面部表情机器人模拟器情感交流情感表达社会人类分发

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