2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)最新文献_第2页

Technical analog-digital for segmentation of spectral images acquired with an accousto-optic system 用声光系统对光谱图像进行技术模拟-数字分割

2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA) Pub Date : 2012-11-12 DOI: 10.1109/STSIVA.2012.6340600

J. M. Mosquera, C. Isaza, Gustavo Adolfo Gomez

引用次数: 2

Dynamical measures for characterization of EEG registers in patients with Attention Deficit Hyperactivity Disorder treated with neurofeedback 神经反馈治疗的注意缺陷多动障碍患者脑电图特征的动态测量

2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA) Pub Date : 2012-11-12 DOI: 10.1109/STSIVA.2012.6340584

A. Cerquera, M. Arns, R. Gutiérrez, J. Freund

{"title":"Dynamical measures for characterization of EEG registers in patients with Attention Deficit Hyperactivity Disorder treated with neurofeedback","authors":"A. Cerquera, M. Arns, R. Gutiérrez, J. Freund","doi":"10.1109/STSIVA.2012.6340584","DOIUrl":"https://doi.org/10.1109/STSIVA.2012.6340584","url":null,"abstract":"This article presents the results of the application of different measures of complexity based on nonlinear dynamics techniques, to evaluate the effect of a neurofeedback therapy in patients with Attention Deficit Hyperactivity Disorder (ADHD) utilizing electroencephalographic (EEG) registers as unique source of information. Every EEG register analyzed in this study contains 26 channels and was acquired in closed- and opened-eyes conditions, during pre- and post-treatment states. Four measures of complexity were applied: largest Lyapunov exponent, correlation dimension, Lempel-Ziv complexity and Hurst exponent. The purpose was to determine if these measures detect quantitative changes from the information contained in the EEG registers as consequence of the neurofeedback therapy. The results of this work indicate that Lempel-Ziv complexity and largest Lyapunov exponent could have a potential utility to detect quantitative differences between pre- and post-treatment in some specific channels. In contrast, correlation dimension and Hurst exponent provided scarce information about these differences. The most noticeable results were found in opened-eyes condition.","PeriodicalId":383297,"journal":{"name":"2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130690138","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

Automatic detection of the end of the Empting Maneuvers in venous muscle pump test 静脉肌泵试验中排空动作结束的自动检测

2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA) Pub Date : 2012-11-12 DOI: 10.1109/STSIVA.2012.6340552

I. S. Gendriz, D. Seoane, H. F. P. Quintero, A. S. Mengana

引用次数: 1

Servo load analysis for the classification of surface of locomotion in a modular snake-like robot 模块化蛇形机器人运动面分类的伺服载荷分析

2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA) Pub Date : 2012-11-12 DOI: 10.1109/STSIVA.2012.6340549

J. Flórez, F. Calderon, C. Parra

{"title":"Servo load analysis for the classification of surface of locomotion in a modular snake-like robot","authors":"J. Flórez, F. Calderon, C. Parra","doi":"10.1109/STSIVA.2012.6340549","DOIUrl":"https://doi.org/10.1109/STSIVA.2012.6340549","url":null,"abstract":"This paper shows the possibility of classifying the surface of locomotion of a modular snake-like robot only from torque and current sensors in the servo-motors. Locomotion in modular snake-like robots is made from gaits that involve the entire body structure, in this particular work we use a modular snake-like robot consisting of 16 modules located 90 degrees rotated one with respect to the previous, this robot is built from Dynamixel AX-12 servos, these servos provide load information based on torque and power consumption. This article presents an analysis from two classifiers, supervised and unsupervised for load temporary data in each of the 16 modules, for three different gaits used in the robot, linear progression, side winding and lateral rolling to make an identification of the characteristics of the surface on which the robot is moving, all without the need for other external sensors. The reported results are obtained by applying two classification techniques, the first supervised (SVM) and the second unsupervised (K-means). Is concluded that it is possible to make a classification between surfaces, knowing previously the selected gait, reaching even to 100% accurancy for certain gaits.","PeriodicalId":383297,"journal":{"name":"2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128221430","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

Kernel based hand gesture recognition using kinect sensor 基于Kernel的kinect手势识别

2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA) Pub Date : 2012-11-12 DOI: 10.1109/STSIVA.2012.6340575

Daniela Ramı́rez-Giraldo, S. Molina-Giraldo, A. Álvarez-Meza, G. Daza-Santacoloma, G. Castellanos-Domínguez

引用次数: 21

POEM-based facial expression recognition, a new approach 基于诗歌的面部表情识别新方法

2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA) Pub Date : 2012-11-12 DOI: 10.1109/STSIVA.2012.6340576

Edwin Silva, Carlos Esparza, Yuri Mejia

{"title":"POEM-based facial expression recognition, a new approach","authors":"Edwin Silva, Carlos Esparza, Yuri Mejia","doi":"10.1109/STSIVA.2012.6340576","DOIUrl":"https://doi.org/10.1109/STSIVA.2012.6340576","url":null,"abstract":"The development of a fully automatic facial expression recognition system is an open problem. Its implications are very important, with applications ranging from machine intelligence and interaction to psychology research. In order to obtain a viable system, it is necessary to get valid parameters to characterize the facial expression in an image or a video sequence. Several different techniques have been implemented, using global-based, local-based and hybrid methods. In our work we developed a new algorithm based on POEM algorithms. We tested the performance using the Cohn-Kanade database and we compared the results with algorithms using geometric features and regular LBP patterns. Additionally, since the parameters have high linear and non-linear dependence they don't have an homogeneous statistic importance as descriptors, so we performed data mining processing. Our results show that POEM-based algorithms have high performance and low cost, even with low resolution images, outperforming most of traditional state of the art works. Preliminary tests also show the viability of using meta classifiers in order to further improve the performance.","PeriodicalId":383297,"journal":{"name":"2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)","volume":"699 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122986265","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: 5

Maximize contrast and compensation lighting of infrared images using the area of the eyes as pattern 最大化对比度和补偿照明的红外图像使用眼睛的区域为模式

2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA) Pub Date : 2012-11-12 DOI: 10.1109/STSIVA.2012.6340563

Diana Marcela Macias Vanegas, A. Jaramillo, Jose Bestier Padilla Bejarano

{"title":"Maximize contrast and compensation lighting of infrared images using the area of the eyes as pattern","authors":"Diana Marcela Macias Vanegas, A. Jaramillo, Jose Bestier Padilla Bejarano","doi":"10.1109/STSIVA.2012.6340563","DOIUrl":"https://doi.org/10.1109/STSIVA.2012.6340563","url":null,"abstract":"In this paper we propose a preprocessing method of infrared imaging (IR) system designed to estimate the infrared radiation at the scene of acquisition. Radiation in the environment is estimated by using the eye area of the individuals present in the scene, to the region of the face is calculated with different metrics which seeks to establish an estimate of the amount of IR radiation. The metrics used correspond to energy, contrast, homogeneity and entropy using the correlation matrix of gray being used in order to characterize and establish IR radiation ranges in which optimal conditions presented images in regard to their characteristics the results obtained show that the eye area used as pattern has features that could be used to estimate changes of IR radiation in the environment, so it can be used to calculate the metrics described above which will serve as input algorithms to maximize contrast and illumination compensation for the purpose of exercising adaptive corrections on image sequences. Also the contrast maximization algorithm and illumination compensation demonstrated adequate corrections on the infrared images compared to corrections made by the art without adaptability is, when IR radiation is estimated by a pattern, however noise components of the image initial produce some corrections made clearer image noise.","PeriodicalId":383297,"journal":{"name":"2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124644119","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

Extraction of new features for classification of porcine sperm motility 猪精子活力分类新特征的提取

2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA) Pub Date : 2012-11-12 DOI: 10.1109/STSIVA.2012.6340603

H. A. Rojas, J. A. Rojas, G. Zuleta, C. Madrigal

引用次数: 3

Synthetic database for testing algorithms of fetal ECG extraction from abdominal ECG 胎儿心电提取腹部心电图检测算法的综合数据库

2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA) Pub Date : 2012-11-12 DOI: 10.1109/STSIVA.2012.6340557

Luis Omar Sarmiento Alvarez, Alberto Gonzalez, José Millet

引用次数: 8

Development of a segmentation algorithm for ECG signals, simultaneously applying continuous and discrete wavelet transform 同时应用连续和离散小波变换的心电信号分割算法

2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA) Pub Date : 2012-11-12 DOI: 10.1109/STSIVA.2012.6340555

Catalina Bustamante Arcila, Sara Duque Vallejo, A. Orozco-Duque, John Bustamante Osorno

{"title":"Development of a segmentation algorithm for ECG signals, simultaneously applying continuous and discrete wavelet transform","authors":"Catalina Bustamante Arcila, Sara Duque Vallejo, A. Orozco-Duque, John Bustamante Osorno","doi":"10.1109/STSIVA.2012.6340555","DOIUrl":"https://doi.org/10.1109/STSIVA.2012.6340555","url":null,"abstract":"This paper presents the development of a segmentation algorithm for ECG signals, using simultaneously discrete and continuous wavelet transform. Here, it has been proposed the use of the discrete transform in order to make the pre-processing, signal filtering and detection of QRS complex; also the continuous transform to correct R and S wave detection as well as for the T wave, enabling the characteristics components identification in ECG signal. The algorithm was implemented in MATLAB® software and the QT Database was used for validation, considering the detection and delineation in signals with small or negative polarity QRS complex; and inverted T waves or with depression or elevation in the ST segment. For QRS complex it was found a sensibility Se=99,8% and a positive predictivity of P+=99,8%; and for the T wave a sensibility of Se=97,6 and a positive predictivity of P+=97,4%. The results show that the algorithm can be applied in signals with different morphologies even with low Signal to noise ratio and baseline.","PeriodicalId":383297,"journal":{"name":"2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115064321","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: 3