Deep Learning-Based Sign Language Recognition for Hearing and Speaking Impaired People

Sign language is mainly utilized in communication with people who have hearing disabilities.Sign language is used to communicate with people hav-ing developmental impairments who have some or no interaction skills.The inter-action via Sign language becomes a fruitful means of communication for hearing and speech impaired persons.A Hand gesture recognition systemfinds helpful for deaf and dumb people by making use of human computer interface(HCI)and convolutional neural networks(CNN)for identifying the static indications of Indian Sign Language(ISL).This study introduces a shark smell optimization with deep learning based automated sign language recognition(SSODL-ASLR)model for hearing and speaking impaired people.The presented SSODL-ASLR technique majorly concentrates on the recognition and classification of sign lan-guage provided by deaf and dumb people.The presented SSODL-ASLR model encompasses a two stage process namely sign language detection and sign lan-guage classification.In thefirst stage,the Mask Region based Convolution Neural Network(Mask RCNN)model is exploited for sign language recognition.Sec-ondly,SSO algorithm with soft margin support vector machine(SM-SVM)model can be utilized for sign language classification.To assure the enhanced classifica-tion performance of the SSODL-ASLR model,a brief set of simulations was car-ried out.The extensive results portrayed the supremacy of the SSODL-ASLR model over other techniques.

Hand Gesture Recognition for Disabled People Using Bayesian Optimization with Transfer Learning

Sign language recognition can be treated as one of the efficient solu-tions for disabled people to communicate with others.It helps them to convey the required data by the use of sign language with no issues.The latest develop-ments in computer vision and image processing techniques can be accurately uti-lized for the sign recognition process by disabled people.American Sign Language(ASL)detection was challenging because of the enhancing intraclass similarity and higher complexity.This article develops a new Bayesian Optimiza-tion with Deep Learning-Driven Hand Gesture Recognition Based Sign Language Communication(BODL-HGRSLC)for Disabled People.The BODL-HGRSLC technique aims to recognize the hand gestures for disabled people’s communica-tion.The presented BODL-HGRSLC technique integrates the concepts of compu-ter vision(CV)and DL models.In the presented BODL-HGRSLC technique,a deep convolutional neural network-based residual network(ResNet)model is applied for feature extraction.Besides,the presented BODL-HGRSLC model uses Bayesian optimization for the hyperparameter tuning process.At last,a bidir-ectional gated recurrent unit(BiGRU)model is exploited for the HGR procedure.A wide range of experiments was conducted to demonstrate the enhanced perfor-mance of the presented BODL-HGRSLC model.The comprehensive comparison study reported the improvements of the BODL-HGRSLC model over other DL models with maximum accuracy of 99.75%.

People=Male假设研究进展

目前,People=Male假设的研究主要包括:对阳性通指词的研究、对职业头衔的PMB研究、有关PMB性别差异的研究、内隐和外显的性别定型对PMB影响的研究等。Animal=Male假设是People=Male假设的变式。减少PMB的对策包括:减少阳性通指词的使用,成人的示范作用改变文化传统等。

Intelligent Video Surveillance System for Elderly People Living Alone Based on ODVS

Intelligent video surveillance for elderly people living alone using Omni-directional Vision Sensor (ODVS) is an important application in the field of intelligent video surveillance. In this paper, an ODVS is utilized to provide a 360° panoramic image for obtaining the real-time situation for the elderly at home. Some algorithms such as motion object detection, motion object tracking, posture detection, behavior analysis are used to implement elderly monitoring. For motion detection and object tracking, a method based on MHoEI(Motion History or Energy Images) is proposed to obtain the trajectory and the minimum bounding rectangle information for the elderly. The posture of the elderly is judged by the aspect ratio of the minimum bounding rectangle. And there are the different aspect ratios in accordance with the different distance between the object and ODVS. In order to obtain activity rhythm and detect variously behavioral abnormality for the elderly, a detection method is proposed using time, space, environment, posture and action to describe, analyze and judge the various behaviors of the elderly in the paper. In addition, the relationship between the panoramic image coordinates and the ground positions is acquired by using ODVS calibration. The experiment result shows that the above algorithm can meet elderly surveillance demand and has a higher recognizable rate.

Educational System for the Holy Quran and Its Sciences for Blind and Handicapped People Based on Google Speech API

There is a great need to provide educational environments for blind and handicapped people. There are many Islamic websites and applications dedicated to the educational services for the Holy Quran and Its Sciences (Quran Recitations, the interpretations, etc.) on the Internet. Unfortunately, blind and handicapped people could not use these services. These people cannot use the keyboard and the mouse. In addition, the ability to read and write is essential to benefit from these services. In this paper, we present an educational environment that allows these people to take full advantage of the scientific materials. This is done through the interaction with the system using voice commands by speaking directly without the need to write or to use the mouse. Google Speech API is used for the universal speech recognition after a preprocessing and post processing phases to improve the accuracy. For blind people, responses of these commands will be played back through the audio device instead of displaying the text to the screen. The text will be displayed on the screen to help other people make use of the system.

An Intelligent Voice-Based eMarketplace for Visually Impaired People

Today eMarketplaces play a significant role in contemporary life by providing a lot of income and business opportunities to people and organizations throughout the world. Despite innovations in the field of IT, many of eMarketplaces lack the ability to provide appropriate services for people with special needs, especially the blind.? Therefore, this paper is focused on incorporating an interface for blind people to participate in the business of eMarketplaces. A proposed model of a voice-based eMarketplace has been introduced using voice recognition technology. Specific blind users of the system are uniquely identified using voice recognition technology to enable them to access the eMarketplace in a secure manner. Further work of this project involves building such as module on an existing eMarketplace.

Positioning and function of secondary general hospital in community rehabilitation of disabled persons-a case study of a secondary general hospital in Changsha city

Objective:the positioning of secondary hospitals in the community rehabilitation work system and the status of community medical rehabilitation ser-vices for the disabled in Changsha were clarified through investigation and study of the 2019 income of a second-ary general hospital in Changsha.Suggestions from var-ious parties were integrated to provide feasible ideas for expanding the role of secondary hospitals in community rehabilitation.Methods:the 2019 income of a secondary general hospital in Changsha was statistically analyzed,a community rehabilitation questionnaire was designed,and a field survey was carried out focusing on 19 issues including rehabilitation service items,rehabilitation facil-ities and equipment,and the satisfaction of rehabilitation practitioners.Results:in the total hospitalization expenses of a secondary general hospital in Changsha city in 2019,rehabilitation physiotherapy expenses accounted for 7%,and drug treatment expenses accounted for 25%.In addi-tion,in the survey of community rehabilitation service sat-isfaction for the disabled,the difference between the very dissatisfied and very satisfied groups was statistically sig-nificant(P<0.05).Conclusion:taking a secondary gener-al hospital in Changsha city as an example,the treatment methods in secondary general hospitals are still dominated by traditional drug therapy,and the disabled are not sat-isfied with community rehabilitation services.Therefore,rehabilitation treatment projects to meet the rehabilitation needs of the disabled should be promoted in hospitals.

以中国话语在生态环境法典中确认环境权

编纂生态环境法典作为重大政治任务和立法任务,已列入全国人大常委会2024年年度工作计划。通过法典编纂,将党的十八大以来生态文明建设理论、制度、实践成果以法典的形式确认下来,适应新时代我国社会主要矛盾新变化,回应人民群众对美好生态环境的新期盼,是生态环境法典编纂的目标和方向。在生态环境法典编纂研究中,我们要以习近平新时代中国特色社会主义思想特别是习近平生态文明思想和习近平法治思想为指引,坚持人民立场,认真对待生态环境新期盼带来的利益关系新变化;坚持改革开放,准确把握我国环境权益保护现状与政策取向;坚持道路自信,以中国话语在生态环境法典中确认环境权并作出一般规定、建立相应的保障制度和救济制度,提升中国生态环境治理体系与治理能力现代化水平,提供加强全球生态环境治理的中国方案。

义务教育从基本均衡转向优质均衡的价值基础、逻辑理路和实践路径

着力推进义务教育基本均衡向优质均衡转变,是新时代新征程办好人民满意教育的重要部署之一,需要从价值基础、逻辑理路和实践路径3方面厘清基本均衡和优质均衡,以更好地促进义务教育优质均衡发展。对历史走向的梳理和政策分析表明,义务教育均衡发展的价值起点在于坚持人民立场,要在过程中注重深化义务教育质量的改革,以办好人民满意的教育为落脚点。在基本均衡向优质均衡转变的过程中,以起点公平、过程公平和结果公平3个过程梳理其逻辑理路,首先是要深入贯彻以学生为本的思想,确保受教育权的平等;其次是在过程中要调和教育公平和效率之间错综复杂的关系,推动兼顾效率和公平的特色化发展;最后是关注教育结果公平,让每个孩子都有出彩的机会。在实践逻辑方面,从学校、社会和国家3个不同层面来推动优质均衡发展:简政放权以激发学校办学活力,构建正义的教育问责制以保障社会公平,借鉴国外经验、坚持本土特色以探寻中国式优质均衡的策略和方法。

坚持人类命运共同体理念中“人民逻辑”的路径探析

人类命运共同体理念是习近平外交思想的重要组成部分,是新时代中国特色大国外交理论和实践的基本遵循。党的十八大以来,以习近平同志为核心的党中央深刻把握国内国外形势的新变化、新动向、新趋势,在坚持“以人民为中心”的发展思想的前提和基础上,积极顺应世界发展新的历史潮流,在积极地探索和创新中逐渐形成了具有中国气派、中国精神、中国格局、中国担当的人类命运共同体理念。中国共产党始终将“实现人民对美好生活的向往”作为自身的奋斗目标,而人类命运共同体理念的福祉和实惠也终将惠及包括全体中国人民在内的世界人民。因此,深刻理解人类命运共同体理念中的人民逻辑,是在新的历史阶段推动中国特色大国外交进一步走稳、走远、走好的逻辑和价值的出发点。

社会网络对中青年群体养老责任认同的影响研究——基于CGSS 2018年数据的检验

从人口代际更迭的角度看,我国目前的中青年群体步入老年阶段后将面临重度老龄化和高龄老龄化并存的养老困境,亟须通过前瞻性制度规划和资源准备避免养老压力的代际叠加。由于认知是意愿形成和行为选择的前提与基础,中青年群体对养老责任归属的态度直接关系未来规模庞大的老年人口的养老方式,厘清其对养老责任主体的倾向与偏好可以在一定程度上预判未来潜在的养老需求,从而在养老资源总量不足、结构不均的情况下实现“有备而老”的积极老龄化目标。同时,我国是典型的人情关系社会,人们往往会借助血缘、亲缘、地缘等社会关系网络及相应资源降低养老活动的运行成本,尤其在家庭养老功能日趋萎缩的背景下,社会网络正在成为个体应对养老风险的重要支持力量,以互联网为代表的新型社交形式日益普及,也为保障老年福祉提供了新的可能。但目前学界相关研究对中青年群体和社会网络因素关注不足,仍然存在研究内容和研究维度上的缺位。基于此,本研究使用中国综合社会调查(CGSS)数据,分析我国中青年养老责任认同的变迁趋势,采用无序多分类Logistic回归模型探究社会网络各因素对中青年养老责任认同的作用机制,并以倾向得分匹配法(PSM)对结果进行稳健性检验。研究发现:在家庭赡养功能持续弱化的宏观背景下,传统的代际责任伦理在我国中青年群体中仍具有相当强的生命力,同时其对社会养老机制和自我养老机制的接受度逐渐提高。而社会关系网络能够发挥非正式保险的效用,对正式养老制度形成补充,进而降低社会风险对家庭的冲击。其中,以朋友交往为代表的强关系对子女养老发挥强有力的替代作用,弱关系网络主要具有补充功能,说明群体信任更强的强关系网络具备弱关系无法比拟的养老资源优势。而互联网作为社会网络中交往行为和互动关系的新表征形态,通过信息传递与政策普及,增强互助养老意识,社会信任则代表个体获取社会关系网络中信息与资源的能力,通过建构社会资本,弱化人们对子女和家庭养老的依赖。因此,以社会支持网络对现有养老实践作出补充,或将在有限养老资源的约束下缓解我国持续加剧的养老压力。

赣南非遗客家服饰品牌助力文化软实力提升——以“客家衣锦”品牌为例

赣南客家服饰,作为赣鄱文化的重要组成部分,彰显出独特的传承性与创新性。文章以“客家衣锦”品牌为例,结合创始人的设计实践,分析了该品牌的定位、产品类型、产品创新设计原则、职业装系列产品创新设计案例和品牌的推广策划,认为“客家衣锦”服饰品牌以原真性和守正创新为本,深入挖掘非遗赣南客家服饰的文化价值和艺术价值,通过深描的方式提取设计元素进行产品的设计与推广,实现了对品牌的塑造。

论习近平文化思想的人民立场

习近平文化思想是新时代新征程指导文化工作的强大思想武器和科学行动指南。习近平文化思想具有鲜明的人民立场,源于马克思主义理论和中国共产党文化观的人民性品格、中华优秀传统文化蕴含的民本理念和新时代坚守以人民为中心的文化工作实践。文化建设、发展和繁荣要坚持全心全意为人民服务的根本宗旨,文化建设依靠人民、文化发展为了人民、文化发展成果由人民共享、文化发展成效由人民评判是习近平文化思想人民立场的核心要义。践行习近平文化思想人民立场,要坚持党对文化工作的全面领导,保证人民立场的价值取向;尊重人民主体地位,发挥人民群众在文化建设中的作用;提升文化服务效能,不断增进人民的文化福祉;推进文化领域制度建设,切实保障人民群众的文化权益;坚持“以文化人”,助力实现中华民族伟大复兴。

中国式现代化背景下“人民性”的价值论诠释

人民性是马克思主义的本质属性,也是中国式现代化图景不同于西方现代化的基本底色,含有深刻的价值论意蕴。中国式现代化恪守人民主体地位,在政治、经济、文化、社会等层面形成了对人民主体地位多维度、全方位的保障,打破了西方现代化过程中资本逻辑对人民的宰制;始终秉持人民至上的价值原则,视人民为发展的出发点与落脚点,在历史与现实、理论与实践等多重维度展现出最广大的人民性,实现了对资本至上价值原则的超越;以满足人民美好生活的需要为价值目标,在既有生产力的基础上改善人与自身、人与自然、人与社会之间的关系,扬弃了导致人的片面发展的传统现代化道路,开启了人民全面发展、社会全面进步的现代化新境域。基于价值哲学解读中国式现代化的人民性,有利于凸显中国式现代化在价值层面对西方现代化模式的突破与超越。

传统文化中积极人格教育理念及其现代转化路径探析

促进传统人格教育创造性转化是推进新时代我国人格教育的有效路径,我国传统文化中儒家思想强调培养进取型的积极人格,道家思想提倡培养豁达型的积极人格,两种积极人格的相反相成构成了我国传统积极人格。从时代的要求看,传统积极人格的两个维度有助于培养学生的奋斗精神和豁达心态,但忽视了对科学素养、理性精神的培养。新时代传统积极人格教育的创造性转化应当通过扬其利弃其弊的方式来实现。第一,借鉴新时代的时代精神促进传统积极人格内涵的时代更迭,以更好地发扬我国教育传统的优点。第二,吸收现代科学精神丰富传统积极人格的内涵,以克服传统教育的弊端。第三,实现积极人格教育与学科教育之间的深度融合,促进其在学校教育中的有效落实。

汽车行止安全智能监控系统

以减少交通事故的发生和挽救车内滞留儿童的生命为初衷,设计并实现一款汽车行止安全智能监控系统,为生命安全加一份保障。该系统采用前端采集设备、阿里云平台和移动端App三层架构,基于AI人脸表情识别技术、酒精检测传感器、空气质量检测传感器实现对酒驾醉驾、疲劳驾驶、儿童滞留车内情况的云端远程监控,系统设置多级预警与紧急控制措施机制,实现汽车行止安全智能监控,预防事故的发生。

残疾人生存型创业向机会型创业的跃迁机制研究

创业是解决残疾人就业问题的积极路径。与生存型创业相比,残疾人通过机会型创业在保障自身就业、解决收入问题的同时,还能创造就业岗位、提升社会效益。推动残疾人生存型创业向机会型创业跃迁是实现残疾人高质量就业创业的新思路。以残疾人杨淑亭团队的创业历程作为典型案例,运用扎根理论研究方法对残疾人创业跃迁的路径进行深入分析,在此基础上以动机形成、能力塑造、机会利用3个主范畴,资源获取、创业学习、有效管理3个支持范畴,开发出残疾人生存型创业向机会型创业跃迁的理论模型,促进残疾人突破生存型创业的桎梏。并从残疾人创业实现跃迁所需的动机形成、能力塑造、机会利用这三个要素出发,提出促进残疾人创业跃迁的对策和建议。

“坚持人民至上”范畴的科学内涵和现实路径

习近平新时代中国特色社会主义思想实现了马克思主义中国化时代化的新飞跃,开辟了马克思主义中国化时代化的新篇章。党的二十大报告总结了习近平新时代中国特色社会主义思想的世界观和方法论,其中“坚持人民至上”位列“六个必须坚持”之首,具有重要理论和实践意义。作为总体性范畴,“坚持人民至上”具有丰富内涵和多层意蕴,经历了一个由初步提出、逐步发展到成熟定型的过程,因而在不同时期和不同场域下,“坚持人民至上”范畴的内涵凸显就有所偏重,这就造成了对“坚持人民至上”范畴把握的不完全以及与其他相关范畴的关系混乱等问题,厘清这些问题的根源有助于更好地把握“坚持人民至上”范畴的内涵和外延,从而正确理解习近平新时代中国特色社会主义思想的世界观和方法论。

习近平文化思想的哲学意蕴与时代价值

习近平文化思想是习近平总书记立足世界百年未有之大变局的时代背景,结合中国发展的实际,在系统分析新时代文化强国建设所面临的发展机遇与现实挑战的基础上,对宣传思想文化工作所作出的重大思想引领,是对宣传思想文化工作实现什么样的发展、怎样发展等问题的理论回应。习近平文化思想以辩证唯物论为哲学基础、以唯物辩证法为方法论依托,唯物史观则确立了其以人民为中心的根本价值立场。习近平文化思想是指引新时代文化强国建设的最新科学理论,实现了马克思主义文化理论的与时俱进,为进一步推动新时代文化建设提供了理论指导,为世界文明交流发展贡献了中国智慧、中国方案。

基于语音定位导航系统的老人陪伴机器人设计

为了改善目前空巢老人缺乏陪伴的问题,陪伴机器人作为老年人陪伴的有效工具应运而生。其中操作繁琐和适用度低是当前陪伴机器人亟待解决的问题。为了使陪伴机器人操作简单、灵活智能,将以室内语音定位导航系统为核心应用于陪伴机器人。首先,基于Raspberry Pi 4B作为机器人控制核心,对陪伴机器人本体进行结构设计并制作机器人模型。其次,通过对机器人室内语音定位导航系统进行程序设计。最后,对室内定位导航系统进行实物测试,验证其功能的合理性。上述实验证明,搭载语音定位导航系统的老人陪伴机器人能够满足老人陪伴的实际需求,并能够进一步开发和胜任更多工作。