Pub Date : 2015-12-28DOI: 10.1109/ICCAS.2015.7364597
J. Sohn, Suk Tae Seo, Sang Il Lee
Medical device industry has its own features such as, interdisciplinary nature, high-value product, regulatory barrier and specific consumer. Many Korean companies in medical device industry are mostly small and medium sized and face low profit and low R&D investment. To promote medical device industry, Korean government has launched a medical cluster projects in 2009 continuing to 2038. One of them is Medivally project located in Daegu, eastern southern to Seoul, the capital city of Korea. The Medivalley consists of core facilities and R&D centers of medical device or drug companies. The core facilities include Medical Device Development Center (MDDC), main goal of which is providing one-stop solution encompassing applied R&D support, prototyping, effectiveness evaluations etc. for whoever needs them focusing on ICT (Information Communication Technology) based high-tech medical devices.
{"title":"Medical device industry and the medical cluster in Daegu, Korea","authors":"J. Sohn, Suk Tae Seo, Sang Il Lee","doi":"10.1109/ICCAS.2015.7364597","DOIUrl":"https://doi.org/10.1109/ICCAS.2015.7364597","url":null,"abstract":"Medical device industry has its own features such as, interdisciplinary nature, high-value product, regulatory barrier and specific consumer. Many Korean companies in medical device industry are mostly small and medium sized and face low profit and low R&D investment. To promote medical device industry, Korean government has launched a medical cluster projects in 2009 continuing to 2038. One of them is Medivally project located in Daegu, eastern southern to Seoul, the capital city of Korea. The Medivalley consists of core facilities and R&D centers of medical device or drug companies. The core facilities include Medical Device Development Center (MDDC), main goal of which is providing one-stop solution encompassing applied R&D support, prototyping, effectiveness evaluations etc. for whoever needs them focusing on ICT (Information Communication Technology) based high-tech medical devices.","PeriodicalId":6641,"journal":{"name":"2015 15th International Conference on Control, Automation and Systems (ICCAS)","volume":"2007 1","pages":"1529-1531"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78649610","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 : 2015-12-28DOI: 10.1109/ICCAS.2015.7364958
Min-Ho Yoon, T. Kang
The piezoelectric material is being used widely for actuators due to its large power density with simple structure. It can generate larger force than the conventional actuators with same size. Furthermore, response time of piezo actuators is very short, and thus, it can be used for very fast system applications with compact size. To control the piezoelectric actuator, we need analog signal conditioning circuits as well as digital microcontrollers. Conventional microcontrollers are not equipped with analog parts and thus the control system becomes bulky compared with the small size of the piezoelectric devices. To overcome these weaknesses, we are developing one-chip micro controller that can handle analog and digital signals simultaneously using mixed signal FPGA technology. We used the SmartFusion™ FPGA device. It gives more flexibility than traditional fixed-function microcontrollers with the excessive cost of soft processor cores on traditional FPGAs. In this paper we introduce the design of one chip controller using mixed signal FPGA, SmartFusion™[1] device. To demonstrate its performance, we implemented a PI controller for power driving circuit with piezoelectric actuator in the FPGA fabric.
{"title":"One chip controller design for actuator's power driving circuit using FPGA","authors":"Min-Ho Yoon, T. Kang","doi":"10.1109/ICCAS.2015.7364958","DOIUrl":"https://doi.org/10.1109/ICCAS.2015.7364958","url":null,"abstract":"The piezoelectric material is being used widely for actuators due to its large power density with simple structure. It can generate larger force than the conventional actuators with same size. Furthermore, response time of piezo actuators is very short, and thus, it can be used for very fast system applications with compact size. To control the piezoelectric actuator, we need analog signal conditioning circuits as well as digital microcontrollers. Conventional microcontrollers are not equipped with analog parts and thus the control system becomes bulky compared with the small size of the piezoelectric devices. To overcome these weaknesses, we are developing one-chip micro controller that can handle analog and digital signals simultaneously using mixed signal FPGA technology. We used the SmartFusion™ FPGA device. It gives more flexibility than traditional fixed-function microcontrollers with the excessive cost of soft processor cores on traditional FPGAs. In this paper we introduce the design of one chip controller using mixed signal FPGA, SmartFusion™[1] device. To demonstrate its performance, we implemented a PI controller for power driving circuit with piezoelectric actuator in the FPGA fabric.","PeriodicalId":6641,"journal":{"name":"2015 15th International Conference on Control, Automation and Systems (ICCAS)","volume":"62 1","pages":"447-451"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78952986","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 : 2015-12-28DOI: 10.1109/ICCAS.2015.7365000
Nao Shikanai, K. Hachimura
This experiment investigated the impressions and movement characteristics that observers use to perceive expressions of negative emotions in dance. Expressions of sadness, anger, fear, and disgust using movements by dancers were recorded by video cameras and a motion capture system. Observers rated words related to impressions and movements. The results of factor analyses indicated that the expressions of negative emotions in dance have particular features to each emotion. Disgust in dance was not extracted with any factors, but Sadness in dance is conveyed by the following factors: “Negative feelings,” “Contraction,” “Quietness,” and “Imbalance.” Anger in dance consists of “Intensity,” “Imbalance,” and “Direction.” Fear in dance is conveyed by “Shake,” “Extensity,” “Imbalance,” and “Acute.” Strong and frequent downward movements increased negative feeling and tended to have a greater effect on perceiving movements as expressing sadness. More tense and imbalanced movements tended to have a greater effect on perceiving anger, whereas shaking and accented movements tended to perceiving fear. Moreover negative emotional expressions had the imbalance of movements in common.
{"title":"Evaluation of impressions and movements related to negative emotional expressions in dance","authors":"Nao Shikanai, K. Hachimura","doi":"10.1109/ICCAS.2015.7365000","DOIUrl":"https://doi.org/10.1109/ICCAS.2015.7365000","url":null,"abstract":"This experiment investigated the impressions and movement characteristics that observers use to perceive expressions of negative emotions in dance. Expressions of sadness, anger, fear, and disgust using movements by dancers were recorded by video cameras and a motion capture system. Observers rated words related to impressions and movements. The results of factor analyses indicated that the expressions of negative emotions in dance have particular features to each emotion. Disgust in dance was not extracted with any factors, but Sadness in dance is conveyed by the following factors: “Negative feelings,” “Contraction,” “Quietness,” and “Imbalance.” Anger in dance consists of “Intensity,” “Imbalance,” and “Direction.” Fear in dance is conveyed by “Shake,” “Extensity,” “Imbalance,” and “Acute.” Strong and frequent downward movements increased negative feeling and tended to have a greater effect on perceiving movements as expressing sadness. More tense and imbalanced movements tended to have a greater effect on perceiving anger, whereas shaking and accented movements tended to perceiving fear. Moreover negative emotional expressions had the imbalance of movements in common.","PeriodicalId":6641,"journal":{"name":"2015 15th International Conference on Control, Automation and Systems (ICCAS)","volume":"44 1","pages":"657-660"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74990253","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 : 2015-12-28DOI: 10.1109/ICCAS.2015.7364671
Jiani Hu, Chunxiao Fan, Yue Ming
Robust dynamic gesture recognition algorithm is of great value for kinds of intelligent interactive systems. Most current researches on this field are based on trajectory time-series, which is unstable and limited. In this paper, we proposed a novel method to realize dynamic gesture recognition by analyzing the static trajectory images with Convolutional Neural Networks (CNN). First of all, a new motion-capture device named Leap Motion is used to track fingertip positions. An effective gesture spotting algorithm is applied to identify the start/end points of dynamic gestures. Then, we map the 3D fingertip coordinates to an image acquisition window frame by frame to get the corresponding trajectory images. After a series of preprocessing steps, the normalized trajectory images are fed to a CNN model. We test the performance of the proposed method on a self-built database, and experimental results show the effectiveness for dynamic gestures recognition of numbers 0-9, with the average recognition rate up to 98.8%.
{"title":"Trajectory image based dynamic gesture recognition with convolutional neural networks","authors":"Jiani Hu, Chunxiao Fan, Yue Ming","doi":"10.1109/ICCAS.2015.7364671","DOIUrl":"https://doi.org/10.1109/ICCAS.2015.7364671","url":null,"abstract":"Robust dynamic gesture recognition algorithm is of great value for kinds of intelligent interactive systems. Most current researches on this field are based on trajectory time-series, which is unstable and limited. In this paper, we proposed a novel method to realize dynamic gesture recognition by analyzing the static trajectory images with Convolutional Neural Networks (CNN). First of all, a new motion-capture device named Leap Motion is used to track fingertip positions. An effective gesture spotting algorithm is applied to identify the start/end points of dynamic gestures. Then, we map the 3D fingertip coordinates to an image acquisition window frame by frame to get the corresponding trajectory images. After a series of preprocessing steps, the normalized trajectory images are fed to a CNN model. We test the performance of the proposed method on a self-built database, and experimental results show the effectiveness for dynamic gestures recognition of numbers 0-9, with the average recognition rate up to 98.8%.","PeriodicalId":6641,"journal":{"name":"2015 15th International Conference on Control, Automation and Systems (ICCAS)","volume":"140 1","pages":"1885-1889"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74259028","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 : 2015-12-28DOI: 10.1109/ICCAS.2015.7364772
Hong Jang, Jay H. Lee, R. Braatz
This paper proposes state estimation methods for tracking a time-varying local concentration of target molecules from the carbon-nanotube (CNT)-based sensing system. The signals triggered by adsorption/desorption events of a trace of the proximate target molecules on the sensors show strongly stochastic behavior. The stochastic nature can be modelled by the chemical master equation (CME) describing the time evolution of the probabilities for all the possible numbers of adsorbed molecules. The adsorption rate on each sensor is proportional to the local concentration, thus connecting the sensor signal to it. At the macroscopic level, the concentration, which is the state, evolves according to the continuum equation represented by ordinary differential equations (ODEs). Various state estimation methods including the Kalman filter (KF), particle filter (PF), and moving horizon estimator (MHE) are designed for the system with highly stochastic, non-Gaussian measurements. Their performances are compared for single sensor as well as multiple sensors in the neighborhood that shares same concentration dynamics.
{"title":"State estimation for a carbon nanotube-based sensor array system","authors":"Hong Jang, Jay H. Lee, R. Braatz","doi":"10.1109/ICCAS.2015.7364772","DOIUrl":"https://doi.org/10.1109/ICCAS.2015.7364772","url":null,"abstract":"This paper proposes state estimation methods for tracking a time-varying local concentration of target molecules from the carbon-nanotube (CNT)-based sensing system. The signals triggered by adsorption/desorption events of a trace of the proximate target molecules on the sensors show strongly stochastic behavior. The stochastic nature can be modelled by the chemical master equation (CME) describing the time evolution of the probabilities for all the possible numbers of adsorbed molecules. The adsorption rate on each sensor is proportional to the local concentration, thus connecting the sensor signal to it. At the macroscopic level, the concentration, which is the state, evolves according to the continuum equation represented by ordinary differential equations (ODEs). Various state estimation methods including the Kalman filter (KF), particle filter (PF), and moving horizon estimator (MHE) are designed for the system with highly stochastic, non-Gaussian measurements. Their performances are compared for single sensor as well as multiple sensors in the neighborhood that shares same concentration dynamics.","PeriodicalId":6641,"journal":{"name":"2015 15th International Conference on Control, Automation and Systems (ICCAS)","volume":"51 1","pages":"1046-1051"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81413041","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 : 2015-12-28DOI: 10.1109/ICCAS.2015.7364874
Kenji Sugimoto, Lorlynn A. Mateo
This paper proposes a new scheme of on-line identification for feedforward (FF) learning control of an unknown nonlinear multi-input multi-output (MIMO) plant free of zero dynamics. This is achieved by constructing a FF controller consisting of a bank of linear approximation models for various operating points, which are discretized and called scheduler. Conventional schemes used piecewise constant/linear interpolation techniques to address the discretization. However, the accuracy of response shaping was insufficient. To improve the performance, we propose to take a basis function approach to tune the parameter of the FF controller. To verify the effectiveness of the proposed scheme, numerical simulation is carried out using the motion equation of a two-link manipulator.
{"title":"A basis function approach to scheduled locally weighted regression for on-line modeling of nonlinear dynamical systems","authors":"Kenji Sugimoto, Lorlynn A. Mateo","doi":"10.1109/ICCAS.2015.7364874","DOIUrl":"https://doi.org/10.1109/ICCAS.2015.7364874","url":null,"abstract":"This paper proposes a new scheme of on-line identification for feedforward (FF) learning control of an unknown nonlinear multi-input multi-output (MIMO) plant free of zero dynamics. This is achieved by constructing a FF controller consisting of a bank of linear approximation models for various operating points, which are discretized and called scheduler. Conventional schemes used piecewise constant/linear interpolation techniques to address the discretization. However, the accuracy of response shaping was insufficient. To improve the performance, we propose to take a basis function approach to tune the parameter of the FF controller. To verify the effectiveness of the proposed scheme, numerical simulation is carried out using the motion equation of a two-link manipulator.","PeriodicalId":6641,"journal":{"name":"2015 15th International Conference on Control, Automation and Systems (ICCAS)","volume":"14 1","pages":"30-35"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81584437","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 : 2015-12-28DOI: 10.1109/ICCAS.2015.7364843
Nurul Sulaiha Sulaiman, K. Mohd Yusof
The goal of this study is to develop an accurate artificial neural network (ANN)-based model to predict significant quality of refined palm oil which is Free Fatty Acid (FFA) content. The variables; FFA content, Iodine Value (IV), moisture content, bleaching earth and citric acid dosage as well as the pressure and temperature of the deodorizer is used to build the ANN prediction model. A feed forward neural network was designed using a back-propagation training algorithm. Comparison of ANN predicted result with industrial data was made. It is proven in this study that ANN can be used to estimate the quality of refined palm oil. Therefore, the model can be further implemented in palm oil refinery plant as the prediction system of the refined oil quality.
{"title":"Artificial neural network-based model for quality estimation of refined palm oil","authors":"Nurul Sulaiha Sulaiman, K. Mohd Yusof","doi":"10.1109/ICCAS.2015.7364843","DOIUrl":"https://doi.org/10.1109/ICCAS.2015.7364843","url":null,"abstract":"The goal of this study is to develop an accurate artificial neural network (ANN)-based model to predict significant quality of refined palm oil which is Free Fatty Acid (FFA) content. The variables; FFA content, Iodine Value (IV), moisture content, bleaching earth and citric acid dosage as well as the pressure and temperature of the deodorizer is used to build the ANN prediction model. A feed forward neural network was designed using a back-propagation training algorithm. Comparison of ANN predicted result with industrial data was made. It is proven in this study that ANN can be used to estimate the quality of refined palm oil. Therefore, the model can be further implemented in palm oil refinery plant as the prediction system of the refined oil quality.","PeriodicalId":6641,"journal":{"name":"2015 15th International Conference on Control, Automation and Systems (ICCAS)","volume":"75 1","pages":"1324-1328"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86417034","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 : 2015-12-28DOI: 10.1109/ICCAS.2015.7364707
Dongho Kim, Youngjin Park
The new position control scheme at the terminal time in 3-D space is proposed for mobile harbor (MH) crane system equipped with a dual-stage trolley and hoist. Wave-induced motions of the MH and container ship cause swing of the payload and time-varying target position. Since the payload being applied by resonant disturbances should be loaded or unloaded on the moving container ship with resonance frequency, it is the worst environment to perform the accurate position control. In the proposed control method, the payload is only matched to the target at the terminal time unlike the tracking control approach which makes the payload to follow the movement of target on whole time. The terminal time is defined as the moment that the target velocity is minimum to prevent damage of the container. And this method is composed of swing free control stage and positon control stage. Control schemes in each stage are model-based optimal control. To discuss the efficiency of the proposed position control, numerical simulations results and performance comparison with the previous tracking control are shown.
{"title":"3-Dimensional position control scheme for mobile harbor crane","authors":"Dongho Kim, Youngjin Park","doi":"10.1109/ICCAS.2015.7364707","DOIUrl":"https://doi.org/10.1109/ICCAS.2015.7364707","url":null,"abstract":"The new position control scheme at the terminal time in 3-D space is proposed for mobile harbor (MH) crane system equipped with a dual-stage trolley and hoist. Wave-induced motions of the MH and container ship cause swing of the payload and time-varying target position. Since the payload being applied by resonant disturbances should be loaded or unloaded on the moving container ship with resonance frequency, it is the worst environment to perform the accurate position control. In the proposed control method, the payload is only matched to the target at the terminal time unlike the tracking control approach which makes the payload to follow the movement of target on whole time. The terminal time is defined as the moment that the target velocity is minimum to prevent damage of the container. And this method is composed of swing free control stage and positon control stage. Control schemes in each stage are model-based optimal control. To discuss the efficiency of the proposed position control, numerical simulations results and performance comparison with the previous tracking control are shown.","PeriodicalId":6641,"journal":{"name":"2015 15th International Conference on Control, Automation and Systems (ICCAS)","volume":"140 1","pages":"2058-2061"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86636211","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 : 2015-12-28DOI: 10.1109/ICCAS.2015.7364588
Haiyang Zhang, Lianglin Xiong, Qing Miao, Yanmeng Wang
This article addressed the problem of delay-dependent stability criteria for linear time system with interval time-delay. Firstly, we proposed a new inequality based on the Fourier Theory, more precisely on the Wirtingers inequalities, which is proved to encompass the Jensens inequality. Secondly, a less conservative stability condition is established in terms of linear matrix inequalities by employing delay-partition idea and Lyapunov functional method. Finally, in order to illustrate the potential gain of employing this new inequality with respect to the Jensens one and the effectiveness of the proposed results,an application to time-delay analysis is provided.
{"title":"Delay-dependent stability analysis of time-delay systems by utilizing a new integral inequality and delay-decomposition approach","authors":"Haiyang Zhang, Lianglin Xiong, Qing Miao, Yanmeng Wang","doi":"10.1109/ICCAS.2015.7364588","DOIUrl":"https://doi.org/10.1109/ICCAS.2015.7364588","url":null,"abstract":"This article addressed the problem of delay-dependent stability criteria for linear time system with interval time-delay. Firstly, we proposed a new inequality based on the Fourier Theory, more precisely on the Wirtingers inequalities, which is proved to encompass the Jensens inequality. Secondly, a less conservative stability condition is established in terms of linear matrix inequalities by employing delay-partition idea and Lyapunov functional method. Finally, in order to illustrate the potential gain of employing this new inequality with respect to the Jensens one and the effectiveness of the proposed results,an application to time-delay analysis is provided.","PeriodicalId":6641,"journal":{"name":"2015 15th International Conference on Control, Automation and Systems (ICCAS)","volume":"70 1","pages":"1488-1493"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83994997","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 : 2015-12-28DOI: 10.1109/ICCAS.2015.7364942
Bi-Ting Yu, B. Jia, Qi Wu, Yanyu Lu, Dan Huang, Shan Fu
To analyse the difficulty of flight tasks, a novel method was presented in this paper using pupil diameter of pilots. The proposed method integrated ensemble empirical mode decomposition (EEMD) and ratio of high to low frequency wavelet coefficients energy to identify pupil data under different tasks from 5 crews. Compared to the extraction method using wavelet energy entropy, the proposed method got more obvious difference between manual departure and standard instrument departure. The results indicated that the difficulty of flight tasks could be distinguished by pupil diameter of pilots.
{"title":"Identification of flight task using ensemble empirical mode decomposition based analysis method","authors":"Bi-Ting Yu, B. Jia, Qi Wu, Yanyu Lu, Dan Huang, Shan Fu","doi":"10.1109/ICCAS.2015.7364942","DOIUrl":"https://doi.org/10.1109/ICCAS.2015.7364942","url":null,"abstract":"To analyse the difficulty of flight tasks, a novel method was presented in this paper using pupil diameter of pilots. The proposed method integrated ensemble empirical mode decomposition (EEMD) and ratio of high to low frequency wavelet coefficients energy to identify pupil data under different tasks from 5 crews. Compared to the extraction method using wavelet energy entropy, the proposed method got more obvious difference between manual departure and standard instrument departure. The results indicated that the difficulty of flight tasks could be distinguished by pupil diameter of pilots.","PeriodicalId":6641,"journal":{"name":"2015 15th International Conference on Control, Automation and Systems (ICCAS)","volume":"6 1","pages":"375-379"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80384096","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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