{"title":"Pseudo-online classification of mental tasks","authors":"A. Benevides, T. Bastos, M. Sarcinelli-Filho","doi":"10.1109/BRC.2011.5740659","DOIUrl":"https://doi.org/10.1109/BRC.2011.5740659","url":null,"abstract":"This paper presents the classification of three mental tasks, using the electroencephalographic signal and simulating a real-time process. Three types of classifiers are compared: k-nearest neighbors, Linear Discriminant Analysis and feed-forward backpropagation Artificial Neural Networks. The mental tasks are the imagination of right or left hand movements and generation of words beginning with the same random letter. The real-time simulation uses the sliding window technique, and the feature extraction uses the Power Spectral Density. A reclassification model is proposed to stabilize the classifier, and the Sammon map is used to visualize the class separation. Finally, it is expected that the proposed method can be implemented in a brain-computer interface associated with a robotic wheelchair.","PeriodicalId":313030,"journal":{"name":"ISSNIP Biosignals and Biorobotics Conference 2011","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123451434","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}
C. Valadão, T. Bastos, M. Bortole, Victor Perim, Daniel R. Celino, Fauzi F. Rodor, Agda Goncalves, H. Ferasoli
{"title":"Educational robotics as a learning aid for disabled children","authors":"C. Valadão, T. Bastos, M. Bortole, Victor Perim, Daniel R. Celino, Fauzi F. Rodor, Agda Goncalves, H. Ferasoli","doi":"10.1109/BRC.2011.5740667","DOIUrl":"https://doi.org/10.1109/BRC.2011.5740667","url":null,"abstract":"Severe disabled children have little chance of environmental and social exploration and discovery, and due this lack of interaction and independency, it may lead to an idea that they are unable to do anything by themselves. This idea is called “learned helplessness” and is very negative for the child cognitive development and social development as well. With this entire situation it is very likely that the self-steam and mood of this child. Trying to help these children on this situation, educational robotics can offer and aid, once it can give them a certain degree of independency in exploration of environment. The system developed in this work allows the child to transmit the commands to a robot. Sensors placed on the child's body can obtain information from head movement or muscle pulses to command the robot to carry the tasks. Also, this system can be used with a variety of robots, being necessary just a previous configuration. It is expected that, with the usage of this system, the disabled children have a better cognitive development and social interaction, balancing in a certain way, the negative effects of their disabilities.","PeriodicalId":313030,"journal":{"name":"ISSNIP Biosignals and Biorobotics Conference 2011","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129120997","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}
{"title":"Implementing a surface EMG model with accurate parameters and a force output","authors":"K. Wheeler, D. Kumar, H. Shimada, H. Weghorn","doi":"10.1109/BRC.2011.5740673","DOIUrl":"https://doi.org/10.1109/BRC.2011.5740673","url":null,"abstract":"A surface electromyogram model has been implemented with both electrical and mechanical outputs. The model has been populated with parameter values based on random distributions about experimentally observed averages. Motor unit firing rates and recruitment threshold have been defined independently for type I and type II muscle fibres. This has led to non-linear inputs to the sEMG model. The observed model outputs have been compared with experimental data. Both the electrical and mechanical outputs are shown to increase linearly with force. The rates of increase are comparable between the simulated and experimental data sets. This model is generating life-like sEMG signals and may be used to study the relationship between muscle physiology and the sEMG signal.","PeriodicalId":313030,"journal":{"name":"ISSNIP Biosignals and Biorobotics Conference 2011","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127232845","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}
{"title":"Segmentation of masses in digital mammograms","authors":"Tiago T Wirtti, E. Salles","doi":"10.1109/BRC.2011.5740680","DOIUrl":"https://doi.org/10.1109/BRC.2011.5740680","url":null,"abstract":"This paper suggests a methodology for segmentation of masses in digital mammograms. The masses are distinguished from other breast tissue by its homogeneous and differentiated density in relation to other breast tissues. The segmentation strategy is based on the assessment of density using multiscale wavelet transform. The density data obtained by processing with wavelet are used to train multilayer perceptron network (MLP) with one hidden layer with error back-propagation algorithm. After the training phase, any mammography with possible masses is then submitted to a trained neural network. The image resulting from processing handled by the neural network has evidenced the relevant characteristics of the original image. The characteristics not relevant were minimized with respect to density. The processed image then serves to provide contours of possible masses in the original image using an automated thresholding criterion. A set of five images was used in the training phase. The trained network was used to detect masses in 19 images (not used for training) that were previously classified by an expert. The TPR (sensitivity) measured was 68.2%, the FPR measurement was 8.7%.","PeriodicalId":313030,"journal":{"name":"ISSNIP Biosignals and Biorobotics Conference 2011","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121681622","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}
R. Tavares, N. Brunet, S. C. Costa, Suzete E. N. Correia, B. Neto, J. Fechine
{"title":"Combining entropy measurements and cepstral analysis for pathological voice assessment","authors":"R. Tavares, N. Brunet, S. C. Costa, Suzete E. N. Correia, B. Neto, J. Fechine","doi":"10.1109/BRC.2011.5740666","DOIUrl":"https://doi.org/10.1109/BRC.2011.5740666","url":null,"abstract":"This work aims at investigating the combination of classifiers based on three different entropy measurements (Shannon, Relative and Tsallis) and four cepstral coefficients (cepstral, delta-cepstral, weighted cepstral and weighted delta cepstral) to discriminate pathological voices under Reinke's Edema from normal ones. The performance of the combined classifiers is evaluated considering the average and product rules. Classification accuracy is improved when combinations of acoustic features were considered, compared to individual classifiers results.","PeriodicalId":313030,"journal":{"name":"ISSNIP Biosignals and Biorobotics Conference 2011","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132085269","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}
A. R. G. Ramirez, R. F. L. da Silva, M. J. Cinelli
{"title":"An extension of spatial and tactile perception based on haptics","authors":"A. R. G. Ramirez, R. F. L. da Silva, M. J. Cinelli","doi":"10.1109/BRC.2011.5740682","DOIUrl":"https://doi.org/10.1109/BRC.2011.5740682","url":null,"abstract":"This paper describes the assistive technology device called ELC (Electronic Long Cane), which was developed as a mobility aid for blind or visual impaired people. This approach comprises an ergonomic design along with an embedded electronics inside the grip of a traditional long cane which, by mean of haptics, spreads human spatial and tactile perception, so improving human locomotion. Qualitative results are presented and discussed.","PeriodicalId":313030,"journal":{"name":"ISSNIP Biosignals and Biorobotics Conference 2011","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130188863","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}
{"title":"Sensor fusion applied to position estimation and gait identification of an ankle-foot orthosis","authors":"Cleiton Caltran, A. Siqueira","doi":"10.1109/BRC.2011.5740664","DOIUrl":"https://doi.org/10.1109/BRC.2011.5740664","url":null,"abstract":"This paper presents a sensor fusion strategy to estimate the absolute position and to identify the gait events of an active ankle-foot orthosis (AAFO). Sensor fusion is implemented using a Kalman filter with the signals of a gyroscope and an accelerometer, both present in an inertial measurement unit (IMU), besides the signals of three force sensitive resistors (FSRs) mounted in a sole of shoe. For correcting the gyroscope-based position, the redundant accelerometer-based position must be used only under reliable conditions, which are obtained by a proposed switching logic to enable the Kalman filter. Experimental results of the AAFO confirm the efficiency of the proposed sensor fusion strategy.","PeriodicalId":313030,"journal":{"name":"ISSNIP Biosignals and Biorobotics Conference 2011","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128295126","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}
{"title":"Kurtosis and negentropy investigation of myo electric signals during different MVCs","authors":"G. Naik, D. Kumar, S. Arjunan","doi":"10.1109/BRC.2011.5740669","DOIUrl":"https://doi.org/10.1109/BRC.2011.5740669","url":null,"abstract":"This research deals with computing the non-Gaussianity in Surface Electromyogram signal (sEMG) using Negative entropy and Kurtosis values. The signal was acquired from three different finger and wrist actions at four different levels of Maximum Voluntary Contractions (MVCs). Our experimental analysis shows that at constant force and for non-fatiguing contractions, probability density function (pdf) of sEMG signals were non-Gaussian. For lesser MVCs (below 30% of MVC) pdf measures tends to be Gaussian process. The above measures were verified by computing the kurtosis values for different MVCs.","PeriodicalId":313030,"journal":{"name":"ISSNIP Biosignals and Biorobotics Conference 2011","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130519309","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}
Nuno Simao Boscaglia, Lucas Avanci Gaudio, Moisés R. N. Ribeiro
{"title":"A low cost prototype for an optical and haptic pen","authors":"Nuno Simao Boscaglia, Lucas Avanci Gaudio, Moisés R. N. Ribeiro","doi":"10.1109/BRC.2011.5740660","DOIUrl":"https://doi.org/10.1109/BRC.2011.5740660","url":null,"abstract":"This paper describes the development and the functioning of a pen that uses haptic and optical technology. Tactile feedback is used to provide user-computer interface. The pen has three main parts: the force sensor, the photodiode, and the solenoid. It is capable of responding to external stimuli, processing the data, and interacting with the user. Preliminary results are presented and several tests are proposed in order to collect data for future studies.","PeriodicalId":313030,"journal":{"name":"ISSNIP Biosignals and Biorobotics Conference 2011","volume":"311 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122736735","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}
{"title":"Use of wavelet transforms and neural networks for identifying individuals through extracted features of the palm hand","authors":"Victor S. Vieira, João Marques Salomão","doi":"10.1109/BRC.2011.5740676","DOIUrl":"https://doi.org/10.1109/BRC.2011.5740676","url":null,"abstract":"Nowadays the biometry is one of the most reliable methods to identify a person. Therefore, identification methods as passwords have been substituted by biologics characteristics due the high level of security. So, in this paper we propose the use of the palm hand as a biometric characteristic and the use of the wavelet transform to extract the principal features of the palm. We also had used a pre-classification through principal lines to make the identification faster. The final identification was made by a neural network feedforward.","PeriodicalId":313030,"journal":{"name":"ISSNIP Biosignals and Biorobotics Conference 2011","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126551540","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}