{"title":"Electrical Impedance Tomography of brain function","authors":"D. Holder","doi":"10.1201/9781420034462.ch4","DOIUrl":"https://doi.org/10.1201/9781420034462.ch4","url":null,"abstract":"Electrical impedance tomography is recently developed imaging technique, with which images of the internal impedance of the subject can be rapidly collected with rings of external ECG - type electrodes. It is fast, inexpensive, portable and is very sensitive to physiological changes which affect the electrical impedance properties. Set against this is a relatively poor spatial resolution and ill posed nature of the procedure for reconstructing images, such that a small errors due to instrumentation translate into large errors in images. For about two decades, satisfactory images have been obtained of changes over time related to gastric emptying and ventilation and cardiac output in the thorax. The main work of the speakerpsilas group has been to adapt existing EIT designs for the demanding application of imaging changes in the brain due to conditions like stroke, epilepsy or normal physiological brain activity; the difficulty is that the skull is resistive and diverts current so that the signal to noise ratio is low. In addition, imaging of acute stroke requires one-off images where the use of time difference to correct for instrumentation errors is not possible. Approaches used to overcome these problems include the use of signal processing, improved numerical models for image reconstruction, and the use of frequency difference imaging.","PeriodicalId":157334,"journal":{"name":"2008 World Automation Congress","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127366881","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. Haghpanah, H. Mohammadi, A. Aminian, M. Eghtesad
{"title":"Stabilization of a three-wheel mobile robot from kinematic model to dynamic model by feedback passivation of cascades using chained form","authors":"A. Haghpanah, H. Mohammadi, A. Aminian, M. Eghtesad","doi":"10.1115/IMECE2009-12063","DOIUrl":"https://doi.org/10.1115/IMECE2009-12063","url":null,"abstract":"In this paper, a novel approach for dynamic based stabilization of a three-wheel mobile robot is presented. One of the well-known and well-established approaches for stabilization of mobile robots is converting the kinematic model of the robot to a chained form. In order to extend this method to dynamic based stabilization, kinematic and dynamic subsystems of the mobile robot state-space model can be considered as two subsystems of a cascade and then feedback passivation of cascades can be utilized for stabilization of the whole system dynamics.","PeriodicalId":157334,"journal":{"name":"2008 World Automation Congress","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129159010","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":"Evolutionary robot vision for people tracking based on local clustering","authors":"I. A. Sulistijono, N. Kubota","doi":"10.2174/1874110X00802010083","DOIUrl":"https://doi.org/10.2174/1874110X00802010083","url":null,"abstract":"This paper discusses the role of evolutionary computation in visual perception for partner robots. The search of evolutionary computation has many analogies with human visual search. First of all, we discuss the analogies between the evolutionary search and human visual search. Next, we propose the concept of evolutionary robot vision, and a human tracking method based on the evolutionary robot vision. Finally, we show experimental results of the human tracking to discuss the effectiveness of our proposed method.","PeriodicalId":157334,"journal":{"name":"2008 World Automation Congress","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115505432","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":"An object detection and extraction method using stereo camera","authors":"M. Morimoto, Y. Mito, K. Fujii","doi":"10.1109/WAC.2006.375746","DOIUrl":"https://doi.org/10.1109/WAC.2006.375746","url":null,"abstract":"In this paper, we propose a new method for detecting and extracting moving objects from moving stereo camera. Our purpose is not only detecting objects but also extracting shapes and colors of detected moving objects from stereo video streams. First, we estimate the camera motion from three-dimensional optical flow based on RANSAC. Secondly we detect moving objects from the scene by inter-frame subtraction. Then we extract the contour of the moving object based on intensity edge, disparity map and inter-frame subtraction. Finally we carry out some experiments and show some results. From results, we can detect and extract the moving object.","PeriodicalId":157334,"journal":{"name":"2008 World Automation Congress","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125871888","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}
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