Progress in Human Computer Interaction最新文献

Face Image Set Recognition Based On Improved HOG-NMF and Convolutional Neural Networks 基于改进HOG-NMF和卷积神经网络的人脸图像集识别

Progress in Human Computer Interaction Pub Date : 2019-11-14 DOI: 10.18063/phci.v2i1.1103

Li-Ying Hao, Wei-wei Yu

{"title":"Face Image Set Recognition Based On Improved HOG-NMF and Convolutional Neural Networks","authors":"Li-Ying Hao, Wei-wei Yu","doi":"10.18063/phci.v2i1.1103","DOIUrl":"https://doi.org/10.18063/phci.v2i1.1103","url":null,"abstract":"Objective Face recognition can be affected by unfavorable factors such as illumination, posture and expression, but the face image set is a collection of people’s various angles, different illuminations and even different expressions, which can effectively reduce these adverse effects and get higher face recognition rate. In order to make the face image set have higher recognition rate, a new method of combining face image set recognition is proposed, which combines an improved Histogram of Oriented Gradient (HOG) feature and Convolutional Neural Network (CNN). Method The method firstly segments the face images to be identified and performs HOG to extract features of the segmented images. Secondly, calculate the information entropy contained in each block as a weight coefficient of each block to form a new HOG features, and non-negative matrix factorization (NMF) is applied to reduce HOG features. Then the reduced-dimensional HOG features are modeled as image sets which keep your face details as much as possible. Finally, the modeled image sets are classified by using a convolutional neural network. Result The experimental results show that compared with the simple CNN method and the HOG-CNN method, the recognition rate of the method on the CMU PIE face set is increased by about 4%~10%. Conclusion The method proposed in this paper has more details of the face, overcomes the adverse effects, and improves the accuracy.","PeriodicalId":299144,"journal":{"name":"Progress in Human Computer Interaction","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114222918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Using Grounded Theory to Explore the Words of Mouth in Live Broadcast Platform 运用扎根理论探究直播平台的口碑传播

Progress in Human Computer Interaction Pub Date : 2019-06-18 DOI: 10.18063/PHCI.V2I1.994

Yi-Sheng Wang, Yuzhi Lu

引用次数: 1

Deep Discriminative Restricted Boltzmann Machine (DDRBM) for Robust Face Spoofing Detection 基于深度判别约束玻尔兹曼机的鲁棒人脸欺骗检测

Progress in Human Computer Interaction Pub Date : 2018-12-26 DOI: 10.18063/phci.v1i3.893

G. Souza, J. Papa, A. Marana

{"title":"Deep Discriminative Restricted Boltzmann Machine (DDRBM) for Robust Face Spoofing Detection","authors":"G. Souza, J. Papa, A. Marana","doi":"10.18063/phci.v1i3.893","DOIUrl":"https://doi.org/10.18063/phci.v1i3.893","url":null,"abstract":"Biometrics emerged as a robust solution for security systems. Despite, nowadays criminals are developing techniques to accurately simulate biometric traits of valid users, process known as spoofing attack, in order to circumvent the biometric applications. Face is among the main biometric characteristics, being extremely convenient for users given its non-intrusive capture by means of digital cameras. However, face recognition systems are the ones that most suffer with spoofing attacks since such cameras, in general, can be easily fooled with common printed photographs. In this sense, countermeasure techniques should be developed and integrated to the traditional face recognition systems in order to prevent such frauds. Among the main neural networks for face spoofing detection is the discriminative Restricted Boltzmann Machine (RBM) which, besides of efficiency, achieves great results in attack detection by learning the distributions of real and fake facial images. However, it is known that deeper neural networks present better accuracy results in many tasks. In this context, we propose a novel model called Deep Discriminative Restricted Boltzmann Machine (DDRBM) applied to face spoofing detection. Results on the NUAA dataset show a significative improvement in performance when compared to the accuracy rates of a traditional discriminative RBM on attack detection.","PeriodicalId":299144,"journal":{"name":"Progress in Human Computer Interaction","volume":"11 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134426422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Surfing the Web: the role of Social-Support in the adolescents’ Internet use 上网:社会支持在青少年网络使用中的作用

Progress in Human Computer Interaction Pub Date : 2018-12-26 DOI: 10.18063/PHCI.V1I3.845

M. Benvenuti, E. Mazzoni

引用次数: 3

Effect of Noise Pollution Among Milling Machine Operators in North-West Nigeria. 噪音污染对尼日利亚西北部铣床操作员的影响。

Progress in Human Computer Interaction Pub Date : 2018-12-26 DOI: 10.18063/phci.v1i2.809

A. J. Adeyemi, S. Yusuf, Abu Zaki, Emmanuel Akujieze

{"title":"Effect of Noise Pollution Among Milling Machine Operators in North-West Nigeria.","authors":"A. J. Adeyemi, S. Yusuf, Abu Zaki, Emmanuel Akujieze","doi":"10.18063/phci.v1i2.809","DOIUrl":"https://doi.org/10.18063/phci.v1i2.809","url":null,"abstract":"Commercial activities are mostly centralized to main markets in many towns and cities of the Northern part of Nigeria. Such central markets constitute the noisiest part of the towns. Yet, there is no evidence that the workers and traders in such markets are aware of the challenges excessive noise pollution pose to their health. This problem serves as the basis for this research, which investigated the major source of noise pollution in Kebbi central market and make recommendation to improve the wellbeing of the people in the market.The market was divided into thirteen sections based on activities. These sections were visited twice a day for two weeks to measure their sound levels. The sound level was measured with a CEM digital noise level meter with an accuracy of ±3.5dB@1KHz. Thereafter, an ergonomic observation assessment of the noisiest section was carried out. The assessment was carried out based on rapid entire body assessment (REBA) methodology. The average sound intensity in all the sections exceeded the recommended safe sound level of 40dB. However, only the sound intensity at the grain and spice milling section (89.13 dB) exceeded the noise harmfulness level of 85dB. Operators were encouraged to use ear muffs or earplugs to minimise the exposure to harmful noise level. Proper electrification of the section was also recommended to minimise the use of internal combustion engines. The findings emphasised the need for government and relevant authorities to carry out occupational safety awareness among workers in the non-formal sector of the society.","PeriodicalId":299144,"journal":{"name":"Progress in Human Computer Interaction","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128165949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

The Evolution of Human Computation: Past, Present and Future 人类计算的进化:过去、现在和未来

Progress in Human Computer Interaction Pub Date : 2018-12-26 DOI: 10.18063/phci.v1i2.805

Man-Ching Yuen

引用次数: 1

Structural Design, Optimization and Analysis of Robotic Arm Via Finite Elements. 机械臂结构设计、优化与有限元分析。

Progress in Human Computer Interaction Pub Date : 2018-12-26 DOI: 10.18063/phci.v1i2.784

T. Mushiri, Joseph Kurebwa

引用次数: 1

Human Computer Interaction, Cognitive Cybernetic & Captological Education 人机交互，认知控制论与动物学教育

Progress in Human Computer Interaction Pub Date : 2018-11-28 DOI: 10.18063/phci.v1i2.759

Zdenko Balaž 1*, Borna-Ivan Balaž 2

{"title":"Human Computer Interaction, Cognitive Cybernetic & Captological Education","authors":"Zdenko Balaž 1*, Borna-Ivan Balaž 2","doi":"10.18063/phci.v1i2.759","DOIUrl":"https://doi.org/10.18063/phci.v1i2.759","url":null,"abstract":"This paper was inspired by the topics by Marshal McLuhan about cibernetisation media understanding, associated with new findings in intelligent systems that lead towards technological anthropomorphisation, and Larsen's model of cognitive controller mood. The results of research conducted from 1990 to the present day outlining the issues associated with captology are presented, and their transfer to specific areas in education outlined. The objective of the theory is to comprehend, interpret and describe the appearance of various disciplines in the natural and social sciences relating to cognitive cybernetics and Human Computer Interaction. In accordance with the unique principles, multidisciplinarity is replaced by pluriperspectivity, and an approach to integrating research methods with engineering design. The theory answers questions using cognitive cybernetics and its recognition and transformation of Descartes's saying: \"cogito ergo sum\", (I think, therefore I am). Work presents the relationship and correlation between man and technology as Human computer interaction with technological definitions Intelligent Systems and Captology. Special attention is focused on today's modern education with the use of virtual media and the cultural matrix within which the particular media is active. For intelligent educations systems to become more useful and acceptable, we need to consider the “system” as a synergistic composition of software behaviors, and the human interacting. Human interaction must be dominant and having considered the ruling. This cannot be achieved with today's captological educational media. Captological educational media stifles people, casts their most important, (social), role in education and makes them unhappy? Human Computer Interaction, as a strategy and philosophy, is the future of education!","PeriodicalId":299144,"journal":{"name":"Progress in Human Computer Interaction","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116027427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Online security detection system design 在线安全检测系统设计

Progress in Human Computer Interaction Pub Date : 2018-06-27 DOI: 10.18063/PHCI.V1I1.762

Hongyan Han

{"title":"Online security detection system design","authors":"Hongyan Han","doi":"10.18063/PHCI.V1I1.762","DOIUrl":"https://doi.org/10.18063/PHCI.V1I1.762","url":null,"abstract":"The 21st century is the information age, information has become an important strategic resource for social development, social information has become the development trend of the world today and the core, and information security in the information society will play a very important role. With the continuous development of computer networks, global information has become the trend of human development. However, because the computer network has the form of connection diversity, terminal distribution inhomogeneity and network openness, interconnection and other characteristics, resulting in the network vulnerable to hackers, malware and other malicious attacks, the former will cause unpredictable impact on the user , While the latter often causes the system to crash. Whether in the local area network or in the wide area network, there are natural and man-made and many other factors of vulnerability and potential threats. Therefore, the network security measures should be able to all aspects of a variety of threats and vulnerabilities, so as to ensure the confidentiality of network information, integrity and availability. A t t h e beginning of this article, the beginning of this article, through the analysis of hacker behavior and typical attacks, summarizes the inevitable reasons for the existence of network security vulnerabilities, and summarizes the status of computer network security, as well as the speciﬁ c concepts, classiﬁ cation and limitations of vulnerability scanning technology. The focus of this paper is to improve the original system of the theme module, and the original system to add some features to make it more perfect function. Finally, the shortcomings of the system and some suggestions for further improvement and expansion are put forward.","PeriodicalId":299144,"journal":{"name":"Progress in Human Computer Interaction","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114420167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Structural Design of Industrial Robot 工业机器人结构设计

Progress in Human Computer Interaction Pub Date : 2018-06-17 DOI: 10.18063/PHCI.V1I1.558

T. Jiang

引用次数: 0