{"title":"Sensing matrix design for spatially-selective compressive spectral imaging","authors":"D. Espinosa, Samuel Pinilla, H. Arguello","doi":"10.1109/STSIVA.2016.7743320","DOIUrl":"https://doi.org/10.1109/STSIVA.2016.7743320","url":null,"abstract":"Compressive Spectral Imaging (CSI) is a feasible technique for capturing three-dimensional spatio-spectral information of a scene using fewer measurements than those required by traditional methods. The Coded Aperture Snapshot Spectral Imaging (CASSI) system is an optical architecture that exploits the CSI theory capturing the spectral information by means of coded apertures to take two-dimensional compressed measurements. In the CASSI system, the sensing matrix design is established by the coded apertures used in the sensing process. Moreover, the quality of reconstructions depends on the optimal coded aperture designs. In many applications, the information of interest is often found in a specific area of the scene, thus a spatially-selective sensing process is desired. However, the traditional CASSI system generally scans the whole scene even when recovering just an area of interest is required. Hence, this paper presents the analysis of several coded aperture designs that provide a sensing matrix for obtaining more information around a specific area of interest in comparison with the rest of the scene. Several simulations show that the image quality attained with the proposed approach is similar to the traditional non-selective coded apertures, requiring 3 snapshots less. Furthermore, when spatially-selective coded aperture designs are used with a fixed number of snapshots, the reconstructions are improved in up to 1 dB of PSNR (peak signal-to-noise ratio) with respect to the non-selective system in the area of interest.","PeriodicalId":373420,"journal":{"name":"2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA)","volume":"257 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132666905","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}
Javier González, Eduard Galvis, Cristian C. Velandia
{"title":"Implementation of real-time filter using an open-source platform oriented to R-wave detection","authors":"Javier González, Eduard Galvis, Cristian C. Velandia","doi":"10.1109/STSIVA.2016.7743351","DOIUrl":"https://doi.org/10.1109/STSIVA.2016.7743351","url":null,"abstract":"The electrocardiographic signal (ECG) reflects the electrical behavior of the human heart. The ECG signal is composed by different waveforms: P, Q, R, S and T. The R wave is normally the easiest waveform to identify on the ECG. The R wave is also the component with the highest amplitude and its detection allows the estimation of the heart rate. This paper is devoted to present the design of a digital filter implemented on an open hardware platform called Arduino to detect the R wave of the ECG signal. The filter design is based on the integration of a smooth filter and the first order derivative. The implemented digital filter has been tested using different ECG signals generated by a patient simulator. Finally, this paper shows a positive performance of the implemented filter in tests related to R wave detection even in the presence of unwanted noise components.","PeriodicalId":373420,"journal":{"name":"2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134627983","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}
Daniel S. Gonzalez, Angelo D. Moro, Christian Quintero, Wilson J. Sarmiento
{"title":"Fear levels in virtual environments, an approach to detection and experimental user stimuli sensation","authors":"Daniel S. Gonzalez, Angelo D. Moro, Christian Quintero, Wilson J. Sarmiento","doi":"10.1109/STSIVA.2016.7743323","DOIUrl":"https://doi.org/10.1109/STSIVA.2016.7743323","url":null,"abstract":"This work presents an approach to detect the emotional state of users immersed in a virtual environment by involving them in an activity to relieve their emotional response. Likewise, the main aspect is to identify the current emotional state by monitoring a set of biometrics, the principal activity involves a signal based analysis of emotional processing in order to validate the height interpretations.","PeriodicalId":373420,"journal":{"name":"2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114117777","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}
M. R. Garcia, L.-J Morantes Guzman, Juan-Sebastian Botero Valencia, V. Madrid Henao
{"title":"Portable measurement system of vertical jump using an Inertial Measurement Unit and pressure sensors","authors":"M. R. Garcia, L.-J Morantes Guzman, Juan-Sebastian Botero Valencia, V. Madrid Henao","doi":"10.1109/STSIVA.2016.7743299","DOIUrl":"https://doi.org/10.1109/STSIVA.2016.7743299","url":null,"abstract":"The physical challenges of human development reflected in the sport are increasingly technology-related. This relationship can be demonstrated in several lines; design on sports elements using high technology as well as sports analysis systems that trying to enhance technical indicators in every discipline. The analysis systems facilitate the feedback process to coaches and athletes, based on mathematical models using derived measures, avoiding precision errors of human observations. One meaningful measure for coaches, strength and conditioning professionals, and sport professionals in general is the vertical jump height. In this paper the initial development of a vertical jump height measurement system is presented, that allows to know the flight height of a person in the development of exercise, and his flight time. The system relies on information from an Inertial Measurement Unit (IMU) consisting of an triaxial accelerometer, a triaxial gyroscope and a triaxial magnetometer and two pressure sensors that fuse the jump measured data. The equipment is completely portable and wireless allowing measurements under standard conditions and these can be developed at the same time with the sporting activity. In average were obtained a flight time of 0.4720s and a maximum height of 0.3160m. The results evidence that these systems based on initiatives of low-cost national technology can be at the level of the products used commercially. Finally, it is important to note that the development of these devices can be complemented with specific applications that automatically process data to support the practice of sports.","PeriodicalId":373420,"journal":{"name":"2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114181326","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}
D. Peña-Unigarro, J. A. Salazar-Castro, Diego Hernán Peluffo-Ordóñez, P. Rosero-Montalvo, O. R. Oña-Rocha, Andres A. Isaza, J. C. Alvarado-Pérez, Roberto Therón
{"title":"Interactive visualization methodology of high-dimensional data with a color-based model for dimensionality reduction","authors":"D. Peña-Unigarro, J. A. Salazar-Castro, Diego Hernán Peluffo-Ordóñez, P. Rosero-Montalvo, O. R. Oña-Rocha, Andres A. Isaza, J. C. Alvarado-Pérez, Roberto Therón","doi":"10.1109/STSIVA.2016.7743318","DOIUrl":"https://doi.org/10.1109/STSIVA.2016.7743318","url":null,"abstract":"Nowadays, a consequence of data overload is that world's technology capacity to collect, communicate, and store large volumes of data is increasing faster than human analysis skills. Such an issue has motivated the development of graphic ways to visually represent and analyze high-dimensional data. Particularly, in this work, we propose a graphical interface that allow the combination of dimensionality reduction (DR) methods using a chromatic model to make data visualization more intelligible for humans. This interface is designed for an easy and interactive use, so that input parameters are given by the user via the selection of RGB values inside a given surface. Proposed interface enables (even non-expert) users to intuitively either select a concrete DR method or carry out a mixture of methods. Experimental results proves the usability of our interface making the selection or configuration of a DR-based visualization an intuitive and interactive task for the user.","PeriodicalId":373420,"journal":{"name":"2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124133897","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}
Juan Molina, P. Lugo, J. Arias, Javier Guaje, Harold Castro, C. Costa, E. Cabrera, M. Sanabria
{"title":"Atmospheric correction matching to theoretical forest signature applied to different colombian regions","authors":"Juan Molina, P. Lugo, J. Arias, Javier Guaje, Harold Castro, C. Costa, E. Cabrera, M. Sanabria","doi":"10.1109/STSIVA.2016.7743313","DOIUrl":"https://doi.org/10.1109/STSIVA.2016.7743313","url":null,"abstract":"The atmospheric correction of remote sensing products is a process frequently used to reduce the reflectivity error produced by the presence of aerosols and other particles in the atmosphere. This process applies linear transformations that converts digital values to values of reflectance. The 6S model is widely used to atmospherically correct the remote sensing products. This solar-radiation based model transforms the image to reduce the noise produced by the different atmospheric conditions. This model is a simulation-based method that requires an initial parameterization given by the at acquisition conditions. This parameterization is comprised by an atmospheric profile, aerosol profile, ground reflectance, geometries, and altitude of the image among others. In this paper, an automatic selection of the parameters using search of parameters is proposed to parameterize the model using as a reference the theoretical signature spectral of tropical forest on Landsat which is assumed to have a low dispersion. Our results show that the configuration with minimum distance is a atmosphere profile of mid-latitude winter, aerosol profile of biomass burning, ground reflectance of green vegetation and Aerosol Optical Thickness of 0.4.","PeriodicalId":373420,"journal":{"name":"2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA)","volume":"379 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131818930","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}
Felipe R. Garavito, Javier González, Jose Cabarcas, D. Chaparro, Ivan Portocarrero, Ana Vargas
{"title":"EMG signal analysis based on fractal dimension for muscle activation detection under exercice protocol","authors":"Felipe R. Garavito, Javier González, Jose Cabarcas, D. Chaparro, Ivan Portocarrero, Ana Vargas","doi":"10.1109/STSIVA.2016.7743365","DOIUrl":"https://doi.org/10.1109/STSIVA.2016.7743365","url":null,"abstract":"The electromyography (EMG) reflects the electrical behavior generated by muscles movements. According the movement, muscles fibers are activated and the EMG signal reflects changes of different electromagnetic components of these fibers in time. In this paper, we describe the methodology applied for the detection of fiber muscle activation, which required the creation of digital data base with EMG signals acquired under an exercise routine designed by the authors based on Bosco Protocol. The EMG signals were obtained from different patient types divided in groups: endurance, high intensity and sedentary subjects. The measurements were done in quadriceps muscle (vastus lateralis) on isometric contraction maxim with time window of each signal of 5 secs and during Wingate test. The mathematical technique applied for the EMG signal analysis was implemented using algorithms based on fractal dimension calculation. The results allowed to observe the performance in events detection over EMG signal.","PeriodicalId":373420,"journal":{"name":"2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124683540","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}
N. García, T. Arias-Vergara, J. Orozco-Arroyave, J. Vargas-Bonilla
{"title":"A new speech corpus in Spanish for speaker verification","authors":"N. García, T. Arias-Vergara, J. Orozco-Arroyave, J. Vargas-Bonilla","doi":"10.1109/STSIVA.2016.7743364","DOIUrl":"https://doi.org/10.1109/STSIVA.2016.7743364","url":null,"abstract":"In this paper we present a new database with speech recordings in Spanish. The database contains recordings of 54 native Spanish speakers. It is appropriate to be used in the development and testing of better Speaker Verification systems. The recording procedure, equipments and speech tasks are detailed. Experiments using the GMM-UBM speaker verification methodology were performed. The methodology of these experiments is described. Text-independent and text-dependent models were tested. The best results were obtained with text-independent models, EER = 3.04%. These kind of models also offer other advantages over text-independent models. According to the results this database is appropriate for speaker verification and identification research. Anyone interested in using this database for research purposes is welcome to contact the authors.","PeriodicalId":373420,"journal":{"name":"2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129641567","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}
Franklin Rosado, Iliana Rumbo, Felicia Daza, Hernis Mercado, Diana Mier
{"title":"Morse code-based communication system focused on amyotrophic lateral sclerosis patients","authors":"Franklin Rosado, Iliana Rumbo, Felicia Daza, Hernis Mercado, Diana Mier","doi":"10.1109/STSIVA.2016.7743358","DOIUrl":"https://doi.org/10.1109/STSIVA.2016.7743358","url":null,"abstract":"This application is based on face recognition and facial features techniques to extract Regions Of Interest (ROI) by applying Haar filters and cascade classifier with OpenCV implemented in Visual Studio C#. Likewise, a software program was developed to transform blinkings into words, along with a graphical user interface, in which the spanish language alphabet letters and predifined phrases are displayed., as a consequence, the ALS patient has the possibility to structure sentences, thus, facilitating his/her communication process with relatives and medical staff. Several tests were applied to five ALS patients (50 years, on average) with an advanced stage of the disease, that's to say, they have lost their speech ability and movement in both upper and lower extremities. They were trained in how to use the application software by means of simple tasks such as reading the spanish alphabet. A first group was formed to help them out with the Morse code, what made them easier to understand the spanish alphabet and its assignment to each blinking. This test was done by using two different environments, namely, one environment with low light intensity and the other one with normal light intensity. A second group was formed with patients without any previous knowledge.","PeriodicalId":373420,"journal":{"name":"2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130822351","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}
L. Quintero, Gilberto Perpiñan, E. Severeyn, M. Altuve, Sara Wong
{"title":"Nonlinear parameters of heart rate variability during oral glucose tolerance test","authors":"L. Quintero, Gilberto Perpiñan, E. Severeyn, M. Altuve, Sara Wong","doi":"10.1109/STSIVA.2016.7743303","DOIUrl":"https://doi.org/10.1109/STSIVA.2016.7743303","url":null,"abstract":"Heart rate variability (HRV) is a simple, non-invasive measure that can be used to quantify autonomic nervous system modulation. This method has been used to detect alterations of autonomic cardiovascular regulation in diabetes and metabolic syndrome (MetS). MetS is characterized by the clustering of glucose intolerance, central obesity, dyslipidemia, and hypertension. This study analyze the HRV using nonlinear methods, in three study groups: 15 subjects with MetS, 10 subjects for control group (C), 15 subjects athletes (D), belonging to a data base with electrocardiographic signals during the test oral glucose tolerance (OGTT). In order to characterize the study groups, two analyzes were performed, one statistical to find significant differences, and a simple correspondence analysis. In the obtained results, significant differences were observed (p <; 0.05-Wilcoxon) between MetS and C groups at the baseline phase in the index average descriptor de Poincaré (SD2) (76.368 ± 26.511ms versus 102.546 ± 35.706ms) and entropy approximate (ApEn) (1.220 ± 0.089 versus 1.307 ± 0.116). The simple correspondence took into account two components representing 59.19% of the total variance, and these components suggests that the descriptor de Poincare (SD1) and correlation dimension (D2) parameters can discriminate between groups. The results suggest that nonlinear parameters SD1, SD2, ApEn and D2, show that the heart rate dynamics and the regularity of the HRV are affected in subjects with MetS.","PeriodicalId":373420,"journal":{"name":"2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116340525","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}