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Dynamic Hand Gesture-Based Person Identification Using Leap Motion and Machine Learning Approaches

Computers, Materials & Continua 2024年第4期79卷 1205-1222页

作者： Jungpil shin Md.AlMehedi Hasan Md.Maniruzzaman Taiki Watanabe Issei Jozume School of Computer Science and Engineering The University of AizuAizuwakamatsuFukushima965-8580Japan Department of Computer Science&Engineering Rajshahi University of Engineering&TechnologyRajshahi6204Bangladesh

Person identification is one of the most vital tasks for network security. People are more concerned about theirsecurity due to traditional passwords becoming weaker or leaking in various attacks. In recent decades, fingerprintsand faces have been widely used for person identification, which has the risk of information leakage as a resultof reproducing fingers or faces by taking a snapshot. Recently, people have focused on creating an identifiablepattern, which will not be reproducible falsely by capturing psychological and behavioral information of a personusing vision and sensor-based techniques. In existing studies, most of the researchers used very complex patternsin this direction, which need special training and attention to remember the patterns and failed to capturethe psychological and behavioral information of a person properly. To overcome these problems, this researchdevised a novel dynamic hand gesture-based person identification system using a Leap Motion sensor. Thisstudy developed two hand gesture-based pattern datasets for performing the experiments, which contained morethan 500 samples, collected from 25 subjects. Various static and dynamic features were extracted from the handgeometry. Randomforest was used to measure feature importance using the Gini Index. Finally, the support vectormachinewas implemented for person identification and evaluate its performance using identification accuracy. Theexperimental results showed that the proposed system produced an identification accuracy of 99.8% for arbitraryhand gesture-based patterns and 99.6% for the same dynamic hand gesture-based patterns. This result indicatedthat the proposed system can be used for person identification in the field of security.

关键词： Person identification leap motion hand gesture random forest support vector machine

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Realizing High Thermoelectric Performance in n-Type Se-Free Bi2Te3 Materials by Spontaneous Incorporation of FeTe2 Nanoinclusions

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Energy & Environmental Materials 2024年第4期7卷 344-354页

作者： Jamil Ur Rahman Woo Hyun Nam Yong-Jae Jung Jong Ho Won Jong-Min Oh Nguyen Van Du Gul Rahman Víctor M.García-Suárez Ran He Kornelius Nielsch Jung Young Cho Won-Seon Seo Jong Wook Roh sang-il Kim Soonil Lee Kyu Hyoung Lee Hyun Sik Kim Weon Ho shin Leibniz Institute for Solid State and Materials Research Advanced Materials Convergence R&D Division Korea Institute of Ceramic Engineering & Technology Department of Electronic Materials Engineering Kwangwoon University Department of Energy Engineering Dankook University Faculty of Fundamental Science Phenikaa University Department of Physics Quaid-i-Azam University Departamento de Física Universidad de Oviedo Nanomaterials and Nanotechnology Research Center-CINN Department of Materials Science and Engineering Yonsei University School of Nano & Materials Science and Engineering Kyungpook National University Department of Materials Science and Engineering University of Seoul School of Materials Science and Engineering Changwon National University

Bi2Te3-based materials have drawn much attention from the thermoelectric community due to their excellent thermoelectric performance near room ***,the stability of existing n-type Bi2（Te,Se）3materials is still low due to the evaporation energy of Se (37.70 kJ mol-1) being much lower than that of Te (52.55 kJ mol-1).The evaporated Se from the material causes problems in interconnects of the module while degrading the efficiency.

关键词： Bi2Te3 energy harvesting FeTe2 nanoinclusion n-type materials thermoelectric

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Understanding the spectrum of non-motor symptoms in multiple sclerosis:insights from animal models

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Neural Regeneration Research 2024年第1期19卷 84-91页

作者： Poornima D.E.Weerasinghe-Mudiyanselage Joong-Sun Kim Taekyun shin Changjong Moon Department of Veterinary Anatomy and Animal Behavior College of Veterinary Medicine and BK21 FOUR programChonnam National UniversityGwangjuRepublic of Korea Department of Veterinary Anatomy College of Veterinary Medicine and Veterinary Medical Research InstituteJeju National UniversityJejuRepublic of Korea

Multiple sclerosis is a chronic autoimmune disease of the central nervous system and is generally considered to be a non-traumatic,physically debilitating neurological *** addition to experiencing motor disability,patients with multiple sclerosis also experience a variety of nonmotor symptoms,including cognitive deficits,anxiety,depression,sensory impairments,and ***,the pathogenesis and treatment of such non-motor symptoms in multiple scle rosis are still under *** studies for multiple sclerosis benefit from the use of disease-appropriate animal models,including experimental autoimmune *** to understanding the pathophysiology and developing treatments for non-motor symptoms,it is critical to chara cterize the animal model in terms of its ability to replicate certain non-motor features of multiple *** such,no single animal model can mimic the entire spectrum of *** review focuses on the non-motor symptoms that have been investigated in animal models of multiple sclerosis as well as possible underlying ***,we highlighted gaps in the literature to explain the nonmotor aspects of multiple sclerosis in expe rimental animal models,which will serve as the basis for future studies.

关键词： anxiety cognitive deficit depression experimental autoimmune encephalomyelitis motor disability neurological disorder pain pathophysiology preclinical study sensory impairments

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A review of understanding electrocatalytic reactions in energy conversion and energy storage systems via scanning electrochemical microscopy

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Journal of Energy Chemistry 2024年第4期91卷 155-177页

作者： Jihye Park Jong Hwan Lim Jin-Hyuk Kang Jiheon Lim Ho Won Jang Hosun shin Sun Hwa Park Interdisciplinary Materials Measurement Institute Korea Research Institute of Standards and ScienceDaejeon 34113Republic of Korea Department of Material Science and Engineering Seoul National UniversitySeoul 08826Republic of Korea Department of Applied Measurement Science University of Science and TechnologyDaejeon 34113Republic of Korea

To address climate change and promote environmental sustainability,electrochemical energy conversion and storage systems emerge as promising alternative to fossil fuels,catering to the escalating demand for *** optimal energy efficiency and cost competitiveness in these systems requires the strategic design of electrocatalysts,coupled with a thorough comprehension of the underlying mechanisms and degradation behavior occurring during the electrocatalysis *** electrochemical microscopy(SECM),an analytical technique for studying surface electrochemically,stands out as a powerful tool offering electrochemical *** possesses remarkable spatiotemporal resolution,enabling the visualization of the localized electrochemical activity and surface *** review compiles crucial research findings and recent breakthroughs in electrocatalytic processes utilizing the SECM methodology,specifically focusing on applications in electrolysis,fuel cells,and metal–oxygen batteries within the realm of energy conversion and storage *** with an overview of each energy system,the review introduces the fundamental principles of SECM,and aiming to provide new perspectives and broadening the scope of applied research by describing the major research categories within SECM.

关键词： Scanning electrochemical microscopy Electrocatalyst Electrocatalysis Water splitting Fuel cell Metal-oxygen battery

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Japanese Sign Language Recognition by Combining Joint Skeleton-Based Handcrafted and Pixel-Based Deep Learning Features with Machine Learning Classification

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 2605-2625页

作者： Jungpil shin Md.Al Mehedi Hasan Abu Saleh Musa Miah Kota Suzuki Koki Hirooka School of Computer Science and Engineering The University of AizuAizuwakamatsu965-8580Japan Department of Computer Science&Engineering Rajshahi University of Engineering&TechnologyRajshahi6204Bangladesh

Sign language recognition is vital for enhancing communication accessibility among the Deaf and hard-of-hearing *** Japan,approximately 360,000 individualswith hearing and speech disabilities rely on Japanese Sign Language(JSL)for ***,existing JSL recognition systems have faced significant performance limitations due to inherent *** response to these challenges,we present a novel JSL recognition system that employs a strategic fusion approach,combining joint skeleton-based handcrafted features and pixel-based deep learning *** system incorporates two distinct streams:the first stream extracts crucial handcrafted features,emphasizing the capture of hand and body movements within JSL ***,a deep learning-based transfer learning stream captures hierarchical representations of JSL gestures in the second ***,we concatenated the critical information of the first stream and the hierarchy of the second stream features to produce the multiple levels of the fusion features,aiming to create a comprehensive representation of the JSL *** reducing the dimensionality of the feature,a feature selection approach and a kernel-based support vector machine(SVM)were used for the *** assess the effectiveness of our approach,we conducted extensive experiments on our Lab JSL dataset and a publicly available Arabic sign language(ArSL)*** results unequivocally demonstrate that our fusion approach significantly enhances JSL recognition accuracy and robustness compared to individual feature sets or traditional recognition methods.

关键词： Japanese Sign Language(JSL) hand gesture recognition geometric feature distance feature angle feature GoogleNet

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Tailoring Classical Conditioning Behavior in TiO_(2) Nanowires:ZnO QDs-Based Optoelectronic Memristors for Neuromorphic Hardware

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Nano-Micro Letters 2024年第7期16卷 265-280页

作者： Wenxiao wang Yaqi wang Feifei Yin Hongsen Niu Young-Kee shin Yang Li Eun-Seong Kim Nam-Young Kim School of Information Science and Engineering University of JinanJinan 250022People’s Republic of China RFIC Centre NDAC CentreKwangwoon UniversityNowon-guSeoul 139-701South Korea Department of Electronics Engineering Kwangwoon UniversityNowon-GuSeoul 139-701South Korea School of Microelectronics Shandong UniversityJinan 250101People’s Republic of China Department of Molecular Medicine and Biopharmaceutical Sciences Seoul National UniversitySeoul 08826South Korea

Neuromorphic hardware equipped with associative learn-ing capabilities presents fascinating applications in the next generation of artificial ***,research into synaptic devices exhibiting complex associative learning behaviors is still ***,an optoelec-tronic memristor based on Ag/TiO_(2) Nanowires:ZnO Quantum dots/FTO was proposed and constructed to emulate the biological associative learning *** implementation of synaptic behaviors,including long and short-term plasticity,and learning-forgetting-relearning behaviors,were achieved in the device through the application of light and electrical *** the optoelectronic co-modulated characteristics,a simulation of neuromorphic computing was conducted,resulting in a handwriting digit recognition accuracy of 88.9%.Furthermore,a 3×7 memristor array was constructed,confirming its application in artificial visual *** importantly,complex biological associative learning behaviors were emulated by mapping the light and electrical stimuli into conditioned and unconditioned stimuli,*** training through associative pairs,reflexes could be triggered solely using light ***-sively,under specific optoelectronic signal applications,the four features of classical conditioning,namely acquisition,extinction,recovery,and generalization,were elegantly *** work provides an optoelectronic memristor with associative behavior capabilities,offering a pathway for advancing brain-machine interfaces,autonomous robots,and machine self-learning in the future.

关键词： Artificial intelligence Classical conditioning Neuromorphic computing Artificial visual memory Optoelectronic memristors ZnO Quantum dots

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*** Teachers Learning With Multilingual Learners in Korea Through Educational Technology:Bringing Heteroglossic and Global Approaches to TESOL Teacher Education

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ECNU Review of Education 2024年第2期7卷 308-332页

作者： Ji Hye shin Jayoung Choi TubaAngay-Crowder Nihal Khote 30 Pryor Street SW Atlanta GA 30303USA Kenneaw State University

Purpose This study aimed to explore how educational technology influenced a preparatory teacher education program using heteroglossic and global ***/Approach/Methods The researchers drew upon the theoretical framework of multilingual digital storytelling(MDST),which emphasizes the intercultural awareness attributes of multilingual learners(MLs)and takes a heteroglossic perspective in linguistic *** qualitative case study examined the experiences of 11 U.S.-based preservice teachers(PSTs)and 12 MLs elementary students in Korea in the MDST project of a TESOL methods *** The findings showed that PSTs and MLs enhanced their appreciation for educational technology,multilingualism,and intercultural *** the project aimed to decenter English as a hegemonic language,both PSTs and MLs maintained traditional discourses that privileged English over MLs’home language and targeted literacy correctness in written English only,moving away from the heterogeneous goals of the course *** and MLs also faced challenges in navigating technological tools,which negatively affected their perception of the ***/Value This study contributes to heteroglossic approaches in preparatory TESOL teacher education programs and improves the understanding of challenges in educational technology use for global multilingual exchanges to promote global citizenship.

关键词： Digital story project educational technology heteroglossic approach multilingual learners TESOL teacher education

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Advances in advanced solution-synthesis-based structural materials for tactile sensors and their intelligent applications

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InfoMat 2024年第1期6卷 31-64页

作者： Hongsen Niu Ning Li Eun-Seoung Kim Young Kee shin Nam-Young Kim Guozhen Shen Yang Li School of Information Science and Engineering University of JinanJinanthe People's Republic of China RFIC Centre Department of Electronics EngineeringKwangwoon UniversitySeoulRepublic of Korea Department of Molecular Medicine and Biopharmaceutical Sciences Seoul National UniversitySeoulRepublic of Korea School of Integrated Circuits and Electronics Beijing Institute of TechnologyBeijingthe People's Republic of China School of Microelectronics Shandong UniversityJinanthe People's Republic of China

Intelligent applications,with tactile sensors at their core,represent significant advancement in the field of artificial ***,achieving perception abilities in tactile sensors that match or exceed human skin remains a formidable ***,the design and implementation of hierarchical structural materials are considered the optimal solution to this *** contrast to conventional methods,such as complicated lithography and three-dimensional printing,the cost-effective and scalable nature of advanced solution-synthesis methods makes them ideal for preparing diverse tactile sensors with hierarchical structural ***,the process and applicability of advanced solution synthesis methods have yet to form a seamless ***,the development and intellectualization of tactile sensors based on advanced solution synthesis methods are still in their early stages,and require a comprehensive and systematic review to usher in *** study delves into the advantages and disadvantages of various advanced solution synthesis methods,providing detailed ***,the positive effects of hierarchical structural materials constructed using these methods in tactile sensors and their intelligent applications are also discussed in ***,the challenges and future opportunities faced by this emerging field are summarized.

关键词： aqueous phase reduction artificial intelligence hydrothermal growth in situ polymerization tactile sensor

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A dynamic database of solid-state electrolyte(DDSE)picturing all-solid-state batteries

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Nano Materials Science 2024年第2期6卷 256-262页

作者： Fangling Yang Egon Campos dos Santos Xue Jia Ryuhei Sato Kazuaki Kisu Yusuke Hashimoto shin-ichi Orimo Hao Li Advanced Institute for Materials Research(WPI-AIMR) Tohoku UniversitySendai980-8577Japan Key Laboratory of Radiation Physics and Technology Ministry of EducationCollege of PhysicsSichuan UniversityChengdu610065People's Republic of China Institute for Materials Research(IMR) Tohoku UniversitySendai980-8577Japan Tohoku Forum for Creativity Tohoku UniversitySendai980-8577Japan

All-solid-state batteries(ASSBs)are a class of safer and higher-energy-density materials compared to conventional devices,from which solid-state electrolytes(SSEs)are their essential *** date,investigations to search for high ion-conducting solid-state electrolytes have attracted broad ***,obtaining SSEs with high ionic conductivity is challenging due to the complex structural information and the less-explored structure-performance *** provide a solution to these challenges,developing a database containing typical SSEs from available experimental reports would be a new avenue to understand the structureperformance relationships and find out new design guidelines for reasonable ***,a dynamic experimental database containing>600 materials was developed in a wide range of temperatures(132.40–1261.60 K),including mono-and divalent cations(e.g.,Li^(+),Na^(+),K^(+),Ag^(+),Ca^(2+),Mg^(2+),and Zn^(2+))and various types of anions(e.g.,halide,hydride,sulfide,and oxide).Data-mining was conducted to explore the relationships among different variates(e.g.,transport ion,composition,activation energy,and conductivity).Overall,we expect that this database can provide essential guidelines for the design and development of high-performance SSEs in ASSB *** database is dynamically updated,which can be accessed via our open-source online system.

关键词： Solid-state electrolyte(SSE) All-solid-state battery(ASSB) Ionic conductivity Dynamic database Machine learning

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Endoscopic radial incision and cutting method for adult congenital duodenal webs:A case report

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World Journal of Clinical Cases 2024年第18期12卷 3622-3628页

作者： Hyun Deok shin Department of Internal Medicine Dankook University HospitalDankook University College of MedicineCheonan 31116ChungnamSouth Korea

BACKGROUND Congenital duodenal webs are rare in adults and can lead to various symptoms such as nausea,vomiting,and postprandial *** treatment for this disease is mostly *** treatment techniques have been developed and attempted for this *** radial incision and cutting(RIC)techniques are reportedly very effective in benign anastomotic *** case report highlights the effectiveness and safety of endoscopic RIC as a minimally invasive treatment for adult congenital duodenal *** SUMMARY A 23-year-old female patient with indigestion was referred to a tertiary *** patient complained of postprandial fullness in the epigastric *** physical examinations or blood tests indicated no *** tomography revealed an eccentric broad-based delayed-enhancing mass-like lesion in the second portion of the *** showed an enlarged gastric cavity and a significantly dilated duodenal bulb;a very small hole was observed in the distal part of the second portion,and scope passage was not *** upper gastrointestinal series was performed,revealing an intraduodenal barium contrast-filled sac with a curvilinear narrow radiolucent rim,a typical"windsock"*** RIC was performed on the duodenal *** patient recovered ***-up endoscopy showed a patent duodenal lumen without any residual *** patient reported complete resolution of symptoms at the 18-month *** Endoscopic RIC may be an effective treatment for congenital duodenal webs in adults.

关键词： Congenital duodenal web Endoscopic treatment Radial incision and cutting method Surgery Case report

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