2005 3rd International Conference on Intelligent Sensing and Information Processing最新文献_第3页

SVM Models in the Diagnosis of Balance Impairments SVM模型在平衡障碍诊断中的应用

2005 3rd International Conference on Intelligent Sensing and Information Processing Pub Date : 2005-12-14 DOI: 10.1109/ICISIP.2005.1619444

R. Begg, D. Lai, S. Taylor, M. Palaniswami

{"title":"SVM Models in the Diagnosis of Balance Impairments","authors":"R. Begg, D. Lai, S. Taylor, M. Palaniswami","doi":"10.1109/ICISIP.2005.1619444","DOIUrl":"https://doi.org/10.1109/ICISIP.2005.1619444","url":null,"abstract":"Trip-related falls is a major problem in the elderly population and research in the area has received much attention recently. The focus has been on devising ways of identifying individuals at risk of sustaining such falls. The main aim of this work is to explore the effectiveness of models based on support vector machines (SVMs) for the automated recognition of gait patterns that exhibit falling behaviour. Minimum foot clearance (MFC) during continuous walking on a treadmill was recorded on 10 healthy elderly and 10 elderly with balance problems and with a history of tripping fails. MFC histogram characteristic features were used as inputs to the SVM model to develop relationships between MFC distribution characteristics and healthy/balance-impaired category. The leave-one-out technique was first utilized for training the SVM model in order to discover the appropriate choice of kernel. Tests were conducted with various kernels (linear, Gaussian and polynomial) and with a change in the regularization parameter, C, in an effort to identify the optimum model for this gait data. Then using a two-fold cross-validation technique, the receiver operating characteristics (ROC) plots of sensitivity and specificity were further used to evaluate the diagnostic performance of the model. The maximum accuracy was found to be 95% using a Gaussian kernel and the maximum ROC area = 0.88, when the SVM models were used to diagnose gait patterns of healthy and balance-impaired individuals. These results suggest considerable potential for SVM-based gait classifier models in the detection of gait changes in older adults due to balance impairments and falling behavior. These preliminary results are also encouraging and could be useful not only in the diagnostic applications but also for evaluating improvements or otherwise in gait function in the clinical/rehabilitation contexts","PeriodicalId":261916,"journal":{"name":"2005 3rd International Conference on Intelligent Sensing and Information Processing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114227482","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: 12

A Novel approach to transformed biometrics - using ANN 一种转换生物特征的新方法——利用神经网络

2005 3rd International Conference on Intelligent Sensing and Information Processing Pub Date : 2005-12-14 DOI: 10.1109/ICISIP.2005.1619429

E. Gopi, P. Vijayakumar, S. Pandiyan, P. Kannan, R. Perumal

{"title":"A Novel approach to transformed biometrics - using ANN","authors":"E. Gopi, P. Vijayakumar, S. Pandiyan, P. Kannan, R. Perumal","doi":"10.1109/ICISIP.2005.1619429","DOIUrl":"https://doi.org/10.1109/ICISIP.2005.1619429","url":null,"abstract":"Biometrics is the technique that utilizes the distinct genetic features collected from face, thumb, retina, eye etc. as an of authentication code. The number of valid biometrics is finite for a human. Any person who enrolls in multiple organizations, would have to use his/her different biometrics as mentioned above, so that there is fool proof authenticity, without any possibility of tampering of the biometric data of one organization by the other. But an innovative idea would be to use a technique that utilizes the same biometric in different organizations. The technique must be such that it is difficult to invert (i.e.) the original biometric must not be retrievable by any inverse transformations. This paper proposes a novel approach to transform a biometric feature using artificial neural network in 'spatial domain'. By this method, different distorted biometric images by using different transformations can be created from the originally collected biometric and hence the same biometric data can be used by different organizations. The results of the proposed approach are very promising and have been validated by the 'image transformation' principles.","PeriodicalId":261916,"journal":{"name":"2005 3rd International Conference on Intelligent Sensing and Information Processing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127822324","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

An Efficient Coding Method for Teleconferencing and Medical Image Sequences 一种有效的远程会议和医学图像序列编码方法

2005 3rd International Conference on Intelligent Sensing and Information Processing Pub Date : 2005-12-14 DOI: 10.1109/ICISIP.2005.1619405

V. Arya, A. Mittal, R. C. Joshi

{"title":"An Efficient Coding Method for Teleconferencing and Medical Image Sequences","authors":"V. Arya, A. Mittal, R. C. Joshi","doi":"10.1109/ICISIP.2005.1619405","DOIUrl":"https://doi.org/10.1109/ICISIP.2005.1619405","url":null,"abstract":"In this paper, an efficient video coding, based on three-dimensional vector quantization system has been proposed. There are a few contributions of this paper, the proposed technique uses a pyramid code book based model instead of conventional single level code book. According to this model, if a specific motion cannot be matched accurately in higher level code book according to coarse partitioning of the frame, a more refined code book description is to be used. This technique also uses an adaptive vector quantization algorithm to train the code book for optimal performance with varying time. The performance of the proposed technique is further improved by using a potential based codebook post processing technique which enables the vector quantizer to possess higher correlation preservation property. The proposed post-processing technique leads to a much higher inter index correlation. The algorithm not only accelerates the vector quantization processing, but also results in better rate-distortion performance. The above discussed approach can be used both for teleconferencing videos and to compress images obtained from confocal laser scanning microscopy. The experimental results show that the proposed method gives a higher subjective and objective quality of the reconstructed frames at a better compression ratio. When applied to edge detection filter on reconstructed frames it produces more acceptable results than a standard codec. It was observed that the proposed method outperforms the teleconferencing compression standard H.261 and LBG based vector quantization compression techniques","PeriodicalId":261916,"journal":{"name":"2005 3rd International Conference on Intelligent Sensing and Information Processing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127864070","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: 4

Nonlinear Pull-In Study of Electrostatically Actuated MEMS Structures 静电驱动MEMS结构的非线性拉入研究

2005 3rd International Conference on Intelligent Sensing and Information Processing Pub Date : 2005-12-14 DOI: 10.1109/ICISIP.2005.1619435

R. Kalyanaraman, M. Packirisamy, R. Bhat

引用次数: 5

Identifying Temporal Gene Networks Using Signal Processing Metrics on Time-Series Gene Expression Data 利用时序基因表达数据的信号处理度量识别时序基因网络

2005 3rd International Conference on Intelligent Sensing and Information Processing Pub Date : 2005-12-14 DOI: 10.1109/ICISIP.2005.1619417

A. Agrawal, A. Mittal

引用次数: 6

Agent-Oriented Modelling of Real-Time Systems for Critical Events 面向智能体的关键事件实时系统建模

2005 3rd International Conference on Intelligent Sensing and Information Processing Pub Date : 2005-12-14 DOI: 10.1109/ICISIP.2005.1619408

R. Khosla, J. Kumar.

引用次数: 0

EEG Artifact Reduction in VEP Using 2-Stage PCA and N4 Analysis of Alcoholics 利用两阶段PCA和N4分析减少酗酒者VEP的脑电信号伪影

2005 3rd International Conference on Intelligent Sensing and Information Processing Pub Date : 2005-12-14 DOI: 10.1109/ICISIP.2005.1619404

P. Sharmilakanna, Ramaswamy Palaniappan

引用次数: 7

Hypergraphs: Organizing complex natural neural networks 超图:组织复杂的自然神经网络

2005 3rd International Conference on Intelligent Sensing and Information Processing Pub Date : 2005-12-14 DOI: 10.1109/ICISIP.2005.1619407

Eakta Jain, M. J. Healy, L. Saland, Derek Hamilton, Andrea Allan, Kevin Caldwell, T. Caudell

引用次数: 0

Randomized Message Forwarding with Equalized Incoming/Outgoing Traffic Rate: A Mechanism for Ensuring Anonymous Communication 均衡进出流量的随机消息转发:一种保证匿名通信的机制

2005 3rd International Conference on Intelligent Sensing and Information Processing Pub Date : 2005-12-14 DOI: 10.1109/ICISIP.2005.1619433

R. Kannan, Lydia Ray, S. Sitharama, Iyengar

{"title":"Randomized Message Forwarding with Equalized Incoming/Outgoing Traffic Rate: A Mechanism for Ensuring Anonymous Communication","authors":"R. Kannan, Lydia Ray, S. Sitharama, Iyengar","doi":"10.1109/ICISIP.2005.1619433","DOIUrl":"https://doi.org/10.1109/ICISIP.2005.1619433","url":null,"abstract":"Anonymous communication in sensor networks is an important security tool. A major sensornet security issue is to anonymize sources and sinks in sensor networks despite the inability to hide wireless transmissions. However, none of the existing anonymous communication schemes provide complete protection against attacks posed by different types of adversaries. In this paper, we propose a novel and scalable anonymous communication scheme Randomized Message Forwarding with Equalized Incoming/Outgoing Traffic Rate (RMFETR) which resists all known eavesdrop attacks. A further modification of this scheme Destination First Randomized Message Forwarding with Equalized Incoming/Outgoing Traffic Rate (DFRMFETR) improves message delivery time significantly. We present security analysis and performance analysis of these two schemes. While both RMFETR and DFRMFETR have the same security benefits against eavesdrop attacks as the randomized Buses protocol, they are more flexible and easy to implement. The expected message delivery time under RMFETR is same as that under the randomized Buses, while DFRMFETR induces a smaller delivery time.","PeriodicalId":261916,"journal":{"name":"2005 3rd International Conference on Intelligent Sensing and Information Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129316359","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

A Recursive Multistage Estimator for Bearings — Only Passive Target Tracking 轴承的递归多级估计&#8212仅被动目标跟踪

2005 3rd International Conference on Intelligent Sensing and Information Processing Pub Date : 2005-12-14 DOI: 10.1109/ICISIP.2005.1619437

S. K. Rao

引用次数: 5