Pub Date : 2006-12-04DOI: 10.1109/ICCIS.2006.252337
Huiyi Wang, Song Jian
Dynamics Control System (DSC) is a new active safety chassis system for the vehicle. It enhances the safety of automobile. Especially when the driver turns the steering wheel rapidly to avoid an obstacle, or drives the car go through a turn road in a high speed, for example, driving a car in high way. A DSC system was designed for an experimental 1.8T Brilliance passenger car firstly. A 2-layer control strategy of DSC was designed and evaluated. The 1st layer control module monitored the attitude of the vehicle and the 2nd layer module monitored the situation of the 4 separate wheels, the thresholds triggered the control action by the calculated parameters. Hardware-in-the-loop simulation showed that the DSC designed helped the vehicle to succeed the maneuver of fishhook successfully.
{"title":"Multi-layer Control Strategy of Dynamics Control System of Vehicle","authors":"Huiyi Wang, Song Jian","doi":"10.1109/ICCIS.2006.252337","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252337","url":null,"abstract":"Dynamics Control System (DSC) is a new active safety chassis system for the vehicle. It enhances the safety of automobile. Especially when the driver turns the steering wheel rapidly to avoid an obstacle, or drives the car go through a turn road in a high speed, for example, driving a car in high way. A DSC system was designed for an experimental 1.8T Brilliance passenger car firstly. A 2-layer control strategy of DSC was designed and evaluated. The 1st layer control module monitored the attitude of the vehicle and the 2nd layer module monitored the situation of the 4 separate wheels, the thresholds triggered the control action by the calculated parameters. Hardware-in-the-loop simulation showed that the DSC designed helped the vehicle to succeed the maneuver of fishhook successfully.","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115958600","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}
Pub Date : 2006-06-07DOI: 10.1109/ICCIS.2006.252342
D. Liu, X. Wu, A. Kulatunga, G. Dissanayake
With the increasing applications of fully autonomous vehicles, efficient motion coordination of multi-autonomous vehicles becomes a very important problem as it significantly affects the productivity. This problem is even harder to solve with the increases of the number of autonomous vehicles employed in a dynamic changing environment and constraints to vehicle movement. This paper presents a simultaneous path and motion planning (SiPaMoP) approach to coordinate motions of multi-autonomous vehicles in dynamic and strictly constrained environments. This approach integrates the path planning, collision avoidance and motion planning into a comprehensive model, which has so far not attracted a lot of attention in the academic literature, and optimizes vehicles' path and speed to minimize the completion time of a set of tasks. Simulation results demonstrated that this approach can effectively coordinate the motion of a team of vehicles, and solve the problems of traffic congestion and collision under various traffic conditions
{"title":"Motion Coordination of Multiple Autonomous Vehicles in Dynamic and Strictly Constrained Environments","authors":"D. Liu, X. Wu, A. Kulatunga, G. Dissanayake","doi":"10.1109/ICCIS.2006.252342","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252342","url":null,"abstract":"With the increasing applications of fully autonomous vehicles, efficient motion coordination of multi-autonomous vehicles becomes a very important problem as it significantly affects the productivity. This problem is even harder to solve with the increases of the number of autonomous vehicles employed in a dynamic changing environment and constraints to vehicle movement. This paper presents a simultaneous path and motion planning (SiPaMoP) approach to coordinate motions of multi-autonomous vehicles in dynamic and strictly constrained environments. This approach integrates the path planning, collision avoidance and motion planning into a comprehensive model, which has so far not attracted a lot of attention in the academic literature, and optimizes vehicles' path and speed to minimize the completion time of a set of tasks. Simulation results demonstrated that this approach can effectively coordinate the motion of a team of vehicles, and solve the problems of traffic congestion and collision under various traffic conditions","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124465698","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}
Pub Date : 2006-06-07DOI: 10.1109/ICCIS.2006.252237
Shih-Chieh Lin, Chia-Hsin Su
The object of this study is to develop a more reliable and faster visual inspection system for printed circuit board inspection. In order to reach this goal, the inspection process was divided into two stages, namely, screening stage and classification stage. In the first stage, only one image feature is abstracted from the examined image and is used as a screening index to quickly screen out most normal components fast. In the second stage, neural networks are used to integrate all image feature information available to more precisely inspect those left after the screening test. Since there are numerous image features available, the way to select proper image features also worth of discussion. In this study, parting coefficient is used as an index for selecting proper image features. The proposed system is trained by a set of revised image data first. Image collected from production line were then used to test the trained system. Experimental results show the feasibility of the proposed system
{"title":"A Visual Inspection System for Surface Mounted Devices on Printed Circuit Board","authors":"Shih-Chieh Lin, Chia-Hsin Su","doi":"10.1109/ICCIS.2006.252237","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252237","url":null,"abstract":"The object of this study is to develop a more reliable and faster visual inspection system for printed circuit board inspection. In order to reach this goal, the inspection process was divided into two stages, namely, screening stage and classification stage. In the first stage, only one image feature is abstracted from the examined image and is used as a screening index to quickly screen out most normal components fast. In the second stage, neural networks are used to integrate all image feature information available to more precisely inspect those left after the screening test. Since there are numerous image features available, the way to select proper image features also worth of discussion. In this study, parting coefficient is used as an index for selecting proper image features. The proposed system is trained by a set of revised image data first. Image collected from production line were then used to test the trained system. Experimental results show the feasibility of the proposed system","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125102279","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}
Pub Date : 2006-06-07DOI: 10.1093/ietisy/e90-d.2.457
K. Ando, M. Miki, T. Hiroyasu
When simulated annealing (SA) is applied to continuous optimization problems, the design of the neighborhood used in SA becomes important. Many experiments are necessary to determine an appropriate neighborhood range in each problem, because the neighborhood range corresponds to distance in Euclidean space and is decided arbitrarily. We propose multi-point simulated annealing with adaptive neighborhood (MSA/AN) for continuous optimization problems, which determines the appropriate neighborhood range automatically. The proposed method provides a neighborhood range from the distance and the design variables of two search points, and generates candidate solutions using a probability distribution based on this distance in the neighborhood, and selects the next solutions from them based on the energy. In addition, a new acceptance judgment is proposed for multi-point SA based on the Metropolis criterion. The proposed method shows good performance in solving typical test problems
{"title":"Multi-point Simulated Annealing with Adaptive Neighborhood","authors":"K. Ando, M. Miki, T. Hiroyasu","doi":"10.1093/ietisy/e90-d.2.457","DOIUrl":"https://doi.org/10.1093/ietisy/e90-d.2.457","url":null,"abstract":"When simulated annealing (SA) is applied to continuous optimization problems, the design of the neighborhood used in SA becomes important. Many experiments are necessary to determine an appropriate neighborhood range in each problem, because the neighborhood range corresponds to distance in Euclidean space and is decided arbitrarily. We propose multi-point simulated annealing with adaptive neighborhood (MSA/AN) for continuous optimization problems, which determines the appropriate neighborhood range automatically. The proposed method provides a neighborhood range from the distance and the design variables of two search points, and generates candidate solutions using a probability distribution based on this distance in the neighborhood, and selects the next solutions from them based on the energy. In addition, a new acceptance judgment is proposed for multi-point SA based on the Metropolis criterion. The proposed method shows good performance in solving typical test problems","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125805871","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}
Pub Date : 2006-06-07DOI: 10.1109/ICCIS.2006.252246
C. Hametner, S. Jakubek
Takagi-Sugeno fuzzy models have proved to be a powerful tool for the identification of nonlinear dynamic systems. Recent publications have addressed the problems of local versus global accuracy and the identifiability and interpretability of local models as true linearisations. The latter issue particularly concerns off-equilibrium models. Well-established solution approaches involve techniques like regularisation and multi-objective optimisation. In view of a practical application of these models by inexperienced users this paper addresses the following issues: 1) unbiased estimation of local model parameters in the presence of input- and output noise. At the same time the dominance of the trend term in off-equilibrium models is balanced. 2) The concept of stationary constraints is introduced. They help to significantly improve the accuracy of equilibrium models during steady-state phases. A simulation model demonstrates the capabilities of the proposed concepts
{"title":"New Concepts for the Identification of Dynamic Takagi-Sugeno Fuzzy Models","authors":"C. Hametner, S. Jakubek","doi":"10.1109/ICCIS.2006.252246","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252246","url":null,"abstract":"Takagi-Sugeno fuzzy models have proved to be a powerful tool for the identification of nonlinear dynamic systems. Recent publications have addressed the problems of local versus global accuracy and the identifiability and interpretability of local models as true linearisations. The latter issue particularly concerns off-equilibrium models. Well-established solution approaches involve techniques like regularisation and multi-objective optimisation. In view of a practical application of these models by inexperienced users this paper addresses the following issues: 1) unbiased estimation of local model parameters in the presence of input- and output noise. At the same time the dominance of the trend term in off-equilibrium models is balanced. 2) The concept of stationary constraints is introduced. They help to significantly improve the accuracy of equilibrium models during steady-state phases. A simulation model demonstrates the capabilities of the proposed concepts","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126611161","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}
Pub Date : 2006-06-07DOI: 10.1109/ICCIS.2006.252243
Chengjia Li, Peng Zhao
Fuzzy control has always been an active discipline in fuzzy set theories and in fuzzy control the stability analysis is one of the most important issues and is also of great interest to scholars in this area. Many important results have been obtained in Tanaka-Sugeno fuzzy control system based on Lyapunov stability theory in the past ten years. Stability analysis in Mamdani fuzzy control system is still quite limited, though it is the first fuzzy controller of their kinds in literature. In this paper, stability analysis of Mamdani type fuzzy controller is studied based on a limit relation equation deduced from the generalized fuzzy control system. The structure and the solutions of the limit equation are closely related with the stability of the fuzzy system. The minimal solutions of the limit equation produce elementary stable matrix forms, which are useful to analyze the stability of closed loop fuzzy systems. An example from the level control of water tank illustrates the proposed method
{"title":"A New Limit Equation Based Stability Analysis of Linguistic Fuzzy Control System","authors":"Chengjia Li, Peng Zhao","doi":"10.1109/ICCIS.2006.252243","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252243","url":null,"abstract":"Fuzzy control has always been an active discipline in fuzzy set theories and in fuzzy control the stability analysis is one of the most important issues and is also of great interest to scholars in this area. Many important results have been obtained in Tanaka-Sugeno fuzzy control system based on Lyapunov stability theory in the past ten years. Stability analysis in Mamdani fuzzy control system is still quite limited, though it is the first fuzzy controller of their kinds in literature. In this paper, stability analysis of Mamdani type fuzzy controller is studied based on a limit relation equation deduced from the generalized fuzzy control system. The structure and the solutions of the limit equation are closely related with the stability of the fuzzy system. The minimal solutions of the limit equation produce elementary stable matrix forms, which are useful to analyze the stability of closed loop fuzzy systems. An example from the level control of water tank illustrates the proposed method","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126761419","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}
Pub Date : 2006-06-07DOI: 10.1109/ICCIS.2006.252272
Cheng-Yu Chang, P. Chung, Yu-Sheng Yeh, J. Yang
A guiding system is a specific mechanism that is used for providing key responses or information for the visitors. However, traditional guiding systems certainty have several disadvantages such like without real-time interaction with users and monotonous. This paper presents an intelligent guiding system, which allows a user to real-time interact with it without any additional auxiliaries. At first, a real-time front-view face detection using Harr-like features is used to decide when the guiding system should wake up and become interactive with the user. After system initialization, we keep on finding some feature points within the detected face area. Then we estimate the orientation of user's head via pyramidal Lucas-Kanade optical flow tracking. The performance of vision-based mouse-interaction in our system could be reached to 20 fps and people could get the right response in 1.9 seconds averagely under Pentium IV 1G Hz PC. Compared to the traditional guiding system, our system has more flexibility. Information providers could choose a suitable display equipment according to the surround environment. With the comparison to other non-vision-based input devices such like gloves or markers, our system offers a simple, useful and economical solution for the real-time interaction between the user and computer
引导系统是一种特定的机制，用于为游客提供关键的回答或信息。然而，传统的导航系统存在着缺乏与用户的实时交互和单调等缺点。本文提出了一种智能导航系统，该系统可以使用户在不需要任何额外辅助的情况下与它进行实时交互。首先，使用harr -类特征的实时前视人脸检测来决定引导系统何时应该醒来并与用户进行交互。在系统初始化之后，我们继续在检测到的人脸区域内寻找一些特征点。然后通过金字塔形卢卡斯-卡纳德光流跟踪估计用户头部的方向。在我们的系统中，基于视觉的鼠标交互性能在Pentium IV 1G Hz PC下可以达到20fps，平均在1.9秒内得到正确的响应。与传统的引导系统相比，我们的系统具有更大的灵活性。信息提供者可以根据周围环境选择合适的显示设备。与其他非视觉输入设备(如手套或标记)相比，我们的系统为用户和计算机之间的实时交互提供了一个简单，实用和经济的解决方案
{"title":"An Intelligent Guiding System using Face Information and Vision-based Mouse-Interaction User Interface","authors":"Cheng-Yu Chang, P. Chung, Yu-Sheng Yeh, J. Yang","doi":"10.1109/ICCIS.2006.252272","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252272","url":null,"abstract":"A guiding system is a specific mechanism that is used for providing key responses or information for the visitors. However, traditional guiding systems certainty have several disadvantages such like without real-time interaction with users and monotonous. This paper presents an intelligent guiding system, which allows a user to real-time interact with it without any additional auxiliaries. At first, a real-time front-view face detection using Harr-like features is used to decide when the guiding system should wake up and become interactive with the user. After system initialization, we keep on finding some feature points within the detected face area. Then we estimate the orientation of user's head via pyramidal Lucas-Kanade optical flow tracking. The performance of vision-based mouse-interaction in our system could be reached to 20 fps and people could get the right response in 1.9 seconds averagely under Pentium IV 1G Hz PC. Compared to the traditional guiding system, our system has more flexibility. Information providers could choose a suitable display equipment according to the surround environment. With the comparison to other non-vision-based input devices such like gloves or markers, our system offers a simple, useful and economical solution for the real-time interaction between the user and computer","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126940083","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}
Pub Date : 2006-06-07DOI: 10.1109/ICCIS.2006.252268
K. Ramanathan, S. Guan
We introduce the concept of a neural network based recursive clustering which creates an ensemble of clusters by recursive decomposition of data. The work involves a hybrid combination of a global clustering algorithm followed by a corresponding local clustering algorithm. Evolutionary self organizing maps are used to create clusters. A set of core patterns is isolated and separately trained using a SOM. The process is recursively applied to the remaining patterns to create an ensemble of clusters. The partition of each recursion is integrated with the partition of the previous recursion. The correlation of the clusters with ground truth information (in the form of class labels) is used to measure algorithm robustness. The paper shows that a hybrid combination of evolutionary algorithms and neural network based clustering techniques is efficient in finding good partitions of clusters and in finding suitable resultant cluster shapes. The recursive self organizing map proposed aims to improve the clustering accuracy of the self organizing map. Empirical studies show that superior results are obtained when clustering artificially generated data as well as real world problems such as the Iris, Glass and Wine datasets
{"title":"Recursive Self Organizing Maps with Hybrid Clustering","authors":"K. Ramanathan, S. Guan","doi":"10.1109/ICCIS.2006.252268","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252268","url":null,"abstract":"We introduce the concept of a neural network based recursive clustering which creates an ensemble of clusters by recursive decomposition of data. The work involves a hybrid combination of a global clustering algorithm followed by a corresponding local clustering algorithm. Evolutionary self organizing maps are used to create clusters. A set of core patterns is isolated and separately trained using a SOM. The process is recursively applied to the remaining patterns to create an ensemble of clusters. The partition of each recursion is integrated with the partition of the previous recursion. The correlation of the clusters with ground truth information (in the form of class labels) is used to measure algorithm robustness. The paper shows that a hybrid combination of evolutionary algorithms and neural network based clustering techniques is efficient in finding good partitions of clusters and in finding suitable resultant cluster shapes. The recursive self organizing map proposed aims to improve the clustering accuracy of the self organizing map. Empirical studies show that superior results are obtained when clustering artificially generated data as well as real world problems such as the Iris, Glass and Wine datasets","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122969298","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}
Pub Date : 2006-06-07DOI: 10.1109/ICCIS.2006.252256
M. Miki, S. Hiwa, T. Hiroyasu
It is reported that simulated annealing (SA), which changes one design variable at a time, is effective when applied to high-dimensional continuous optimization problems. However, if a correlation exists among the design variables, it is not efficient to search each dimension. In this paper, we propose SA with a mechanism to determine an appropriate search direction according to the landscape of the given problems. Its effectiveness is verified for high-dimensional problems with correlation among design variables
{"title":"Simulated Annealing using an Adaptive Search Vector","authors":"M. Miki, S. Hiwa, T. Hiroyasu","doi":"10.1109/ICCIS.2006.252256","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252256","url":null,"abstract":"It is reported that simulated annealing (SA), which changes one design variable at a time, is effective when applied to high-dimensional continuous optimization problems. However, if a correlation exists among the design variables, it is not efficient to search each dimension. In this paper, we propose SA with a mechanism to determine an appropriate search direction according to the landscape of the given problems. Its effectiveness is verified for high-dimensional problems with correlation among design variables","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129247149","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}
Pub Date : 2006-06-07DOI: 10.1109/ICCIS.2006.252353
M. Bhuyan, D. Ghosh, P. Bora
Vision-based hand gesture recognition is a popular research topic for human-machine interaction (HMI). We have earlier developed a model-based method for tracking hand motion in complex scene by using Hausdorff tracker. In this paper, we now propose to extract certain features from the gesture trajectory so as to identify the form of the trajectory. Thus, these features can be efficiently used for trajectory guided recognition/classification of hand gestures. Our experimental results show 95% of accuracy in identifying the forms of the gesture trajectories. This indicates that the trajectory features proposed in this paper are appropriate for defining a particular gesture trajectory
{"title":"Feature Extraction from 2D Gesture Trajectory in Dynamic Hand Gesture Recognition","authors":"M. Bhuyan, D. Ghosh, P. Bora","doi":"10.1109/ICCIS.2006.252353","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252353","url":null,"abstract":"Vision-based hand gesture recognition is a popular research topic for human-machine interaction (HMI). We have earlier developed a model-based method for tracking hand motion in complex scene by using Hausdorff tracker. In this paper, we now propose to extract certain features from the gesture trajectory so as to identify the form of the trajectory. Thus, these features can be efficiently used for trajectory guided recognition/classification of hand gestures. Our experimental results show 95% of accuracy in identifying the forms of the gesture trajectories. This indicates that the trajectory features proposed in this paper are appropriate for defining a particular gesture trajectory","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130333725","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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