2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)最新文献_第6页

Edge based eye-blink detection for computer vision syndrome 基于边缘的计算机视觉综合征眨眼检测

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944084

J. Jennifer, T. Sharmila

{"title":"Edge based eye-blink detection for computer vision syndrome","authors":"J. Jennifer, T. Sharmila","doi":"10.1109/ICCCSP.2017.7944084","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944084","url":null,"abstract":"Living in an information age the whole earth is a small globe in our hands with the advancements of computers, smartphones etc. The usage of computers in our day-to-day activities has increased enormously leading to both positive and negative effects in our lives. The negative effects are related to health problems such as Computer Vision Syndrome (CVS) etc. Prolonged use of computers would lead to a significant reduction of spontaneous eye blink rate due to the high visual demand of the screen and concentration on the work. The proposed system develops a prototype using blink as a solution to prevent CVS. The first part of the work captures video frames using web-camera mounted on the computer or laptop. These frames are processed dynamically by cropping only the eyes. The algorithms performed on the eye-frames are direct pixel count, gradient. Canny edge and Laplacian of Gaussian (LoG). These determine the eye-status based on the threshold value and the proposed idea, the difference between upper and lower eye frames. Various experiments are done and their algorithms are compared and concluded that the proposed algorithm yields 99.95% accuracy.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123955518","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: 8

Speky: A diffraction based application specific instrumentation (ASIN) counterfeit medicine detection system Speky:一种基于衍射的专用仪器(ASIN)假药检测系统

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944066

A. Mishra, R. Janowski

引用次数: 2

Use of honeypots for mitigating DoS attacks targeted on IoT networks 使用蜜罐来减轻针对物联网网络的DoS攻击

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944057

M. Anirudh, Arul Thileeban, Daniel Jeswin Nallathambi

引用次数: 83

Non-intrusive technique for pathological voice classification using jitter and shimmer 基于抖动和闪烁的非侵入性病理语音分类技术

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944104

N. Sripriya, S. Poornima, R. Shivaranjani, P. Thangaraju

{"title":"Non-intrusive technique for pathological voice classification using jitter and shimmer","authors":"N. Sripriya, S. Poornima, R. Shivaranjani, P. Thangaraju","doi":"10.1109/ICCCSP.2017.7944104","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944104","url":null,"abstract":"Speech signal contains two characteristics, system and source. When there is disturbance in vocal cord function, there is notable change in source characteristic. Despite the technological advances in the medical field, the voice pathologists use endoscopic methods to view the vocal cord flap movements for patients with infections and disturbances in vocal cords which are painful. This work is an alternative for classifying pathological voice from normal voice by evaluating the jitter and shimmer variations in the speech signal of an affected person. When there is any distortion in voice, it is reflected in the source characteristics. Pitch being the fundamental source characteristic, analyzing pitch helps us classify pathological voice from normal voice. Jitter and shimmer are derived characteristics of pitch. The glottal closure instants are better representatives of source compared to pitch. In this work, we have explored using the glottal closure instants to calculate the jitter, shimmer and other speech parameters instead of the pitch period. Analyzing these jitter and shimmer parameters for various pathological voices and normal voices help us to classify them. Experiments were carried out using a database containing normal and pathological voices. An accuracy of 85% was achieved for normal-pathological voice classification.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115026679","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: 7

Performance analysis of pentagon shaped microstrip patch antenna 五边形微带贴片天线的性能分析

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944059

L. Chandiea, K. Anusudha

引用次数: 4

Substrate integrated waveguide tapered slot antenna for 57–64 GHz band applications 用于57-64 GHz频段应用的衬底集成波导锥形槽天线

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944080

M. N. Kumar, T. Shanmuganantham

引用次数: 3