{"title":"Non-contact stiffness imager for medical application","authors":"T. Kawahara, M. Kaneko","doi":"10.1109/ICIA.2005.1635111","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635111","url":null,"abstract":"This paper discusses a non-contact stiffness imager that can provide us with the pattern of a stiffness (or pseudo-stiffness) distribution of environment. While there are four combinations between the force applying method and the way for measuring the displacement, we pick up the combination in which the force is given to the environment at a local point and the displacement of environment is measured in the neighboring area where the force is given. We first explain the basic idea by utilizing the experimental system composed of an air supply system and a scanning type line laser sensor. We also apply the idea to an endoscope camera capable of obtaining the pseudo-stiffness pattern as well as the visual pattern.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"136 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":"131426351","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":"Active shock noise cancellation with variable step-size algorithms","authors":"M. Pan, Ji-Yao Liu","doi":"10.1109/ICIA.2005.1635081","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635081","url":null,"abstract":"The study aims to suppress the transient and nonstationary high-SPL (sound pressure level) shock noise. A full-size acrylic model is built up for mimicking the sound field of the control room of a rocket-launching vehicle. For achieving the noise reduction, an adaptive algorithm called the FXLMS is applied to implement the active noise control system. The convergence speed and stability of the FXLMS-type systems depend on the step-size values mainly. They are usually difficult to be decided for fast converging, and keeping the system stable. In the study, the variable step-size algorithms are implemented to automatically select an appropriate step size varying with the system status for desired performance. Experimental results show that the ANC system with the variable step-size algorithm performs well both in complex harmonic and transient high-SPL shock noise environments.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"26 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":"125474120","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":"Water mine data fusion and model recognition","authors":"Haibo Liu, Guochang Gu, Jing Shen, Yan Fu","doi":"10.1109/ICIA.2005.1635152","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635152","url":null,"abstract":"It is significant for a MCS (mine countermeasure system) to recognize the model of a water mine exactly in order to take right destroying measures. In this paper, the ABNET proposed by L.N. de Castro is simplified and employed in a multi-agent-based MCS for fusing the feature data and recognizing the model of water mines. The simplified ABNET (sABNET) is a two-layer Boolean network which number of outputs is adaptable according to the task and which recognition precision can be controlled by the immune affinity threshold. Compared with Castro's work, the sABNET converges more quickly.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"17 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":"121165542","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":"Voice based robot control","authors":"P.X. Liu, A. Chan, R. Chen, K. Wang, Y. Zhu","doi":"10.1109/ICIA.2005.1635148","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635148","url":null,"abstract":"A voice-based system has been developed to control a mobile robot using oral commands. The system is divided into two main components: speech recognition engine and robotic control unit. In the speech recognition engine, hidden Markov models are used as the main method in recognizing oral commands. The robotic control unit is developed under the ARIA environment, which is provided by the robot manufacturer.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"9 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":"125319530","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}
Ming Meng, Y. Ge, Zhongcheng Wu, Ping Fang, Fei Shen
{"title":"Accuracy of a force sensitive digital tablet in determining the position of force application","authors":"Ming Meng, Y. Ge, Zhongcheng Wu, Ping Fang, Fei Shen","doi":"10.1109/ICIA.2005.1635098","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635098","url":null,"abstract":"In this paper, the accuracy in determining the position of force application with a novel force sensitive digital tablet is evaluated and improved. A loading system consisting of a strip-shaped board with a stylus and a plate with grid is used to apply a point load on the tablet. In static experiments, the stylus is placed on 49 equidistant locations respectively, and calibrated masses are used to exert vertical force from 0.25 N to 5 N. Dynamic experiments are also performed by means of drawing on the loading board. Experimental results show that the systematic error is nonlinearly dependent on the actual position of force application, and almost independent of the magnitude of exerted force vector. Dynamic experimental results also suggest that this tablet can determine the position as accurately in dynamic conditions as in static conditions. According to the observed error distribution, the measured positions are corrected using artificial neural network (ANN). The encouraging results of the correction indicate that the proposed correction procedure can provide significant improvement in the performance of the tablet in determining the position of force application.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"7 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":"133529397","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":"A piezoelectric bimorph micro-gripper with micro-force sensing","authors":"Xinhan Huang, Jianhua Cai, Min Wang, Xiadong Lv","doi":"10.1109/ICIA.2005.1635071","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635071","url":null,"abstract":"A new piezoelectric bimorph micro-gripper with micro-force sensing is presented in the paper. The micro-gripper is based on the dual cantilevers structure and is driven by two piezoelectric bimorphs. Sticking two strain gauges on both sides of the base of the piezoelectric bimorph to sense free end transmutation of the bimorph, we can get displacement-voltage relationship and force-strain relationship respectively. As a result the gripper has the ability to detect micro-force when it is gripping micro-parts. The experiment results show that the gripper works reliably and safely. It is satisfied with the tasks of micro assembly.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"61 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":"115937509","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}
Y. Kurita, Y. Iida, R. Kempf, M. Kaneko, H. Mishima, H. Tsukamoto, E. Sugimoto
{"title":"Dynamic sensing of human eye using a high speed camera","authors":"Y. Kurita, Y. Iida, R. Kempf, M. Kaneko, H. Mishima, H. Tsukamoto, E. Sugimoto","doi":"10.1109/ICIA.2005.1635109","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635109","url":null,"abstract":"The eye pressure is an important index for judging whether an eye suffers from glaucoma or not. Conventional eye pressure measurements provide us with meaningful data only under the assumption that all the subjects have the same eye stiffness. Our former work, however, says that the assumption is not valid. This work is an extended version. By combining both a high speed camera with 5000[fps] and an air puff supply system, the eye surface can be precisely tracked with respect to time. We introduce a new parameter, which is the displacement at a predetermined applied force. We found that the parameter can strongly emphasize the characteristic of the individual eye stiffness and keeps a high correlation with the measured external eye pressure, so called IOP (intraocular pressure).","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"24 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":"133554471","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":"Face recognition based on wavelet transform and SVM","authors":"Bing Luo, Yun Zhang, Yunhong Pan","doi":"10.1109/ICIA.2005.1635115","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635115","url":null,"abstract":"This paper proposed a new scheme for human face recognition using wavelet transform combined with support vector machine as well as clustering method. The features in our research are: 1) using low frequency subband coefficients LL of wavelet decomposition as input for SVM, to attenuate the influence of natural differences, 2) do fine recognition by multi-method of PCA, LFA on pre-accepted image to decrease FAR and for machine learning, 3) conduct homomorphic filter to face image for pre-processing to deal with illuminations influence, 4) machine learning while recognition, update or adjust mode vectors by results of fine recognition, 5) clustering before doing face recognition on multi-target gallery to reduce search time. Experiments on ORL face dataset and self-build face library show efficient results.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"68 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":"114900234","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":"Fuzzy multi-agent cooperative Q-learning","authors":"Dongbing Gu, Huosheng Hu","doi":"10.1109/ICIA.2005.1635080","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635080","url":null,"abstract":"This paper presents a cooperative reinforcement learning algorithm of multi-agent systems. The cooperative behaviour is established within a leader-following framework. Specifically, the cooperative dynamics is modelled as a Stackelberg game. Based on the equilibrium definition of the Stackelberg game, a leader-following Q-learning algorithm is developed. The algorithm is generalised over continuous state space by using fuzzy logic.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"19 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":"116102839","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":"Computer vision based real-time information acquisition for transport traffic","authors":"Kim-Sung Jie, Ming Liu","doi":"10.1109/ICIA.2005.1635075","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635075","url":null,"abstract":"This paper presents a low-cost computer vision system for real time traffic monitoring. The prototype built up simply consists of a PC (or a laptop) and a web-cam camera. The hardware configuration, the software structure and the basic image processing algorithms are presented. The prototype was tested in real scene under different nature lighting conditions and showed reasonable results. After an evaluation on the results obtained, the further work needed to improve the robustness of the system is given.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"34 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":"116829921","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}