Pub Date : 2017-11-01DOI: 10.1109/ICIIBMS.2017.8279753
A. Lavrova, E. Postnikov
We investigate different dynamical regimes of a small neuronal circuit. This circuit includes two cells which are interconnected by means of dynamical synapses (excitatory and inhibitory). On the individual level, each neuron is modelled by FitzHugh-Nagumo equations. To analyze complex patterns and transitions between them in this small circuit, we apply wavelet analysis. We show that this tool could be applicable to systems that are difficult to investigate using methods of classical bifurcation analysis.
{"title":"Shaping spiking patterns through synaptic parameters revealed by wavelet bifurcation analysis","authors":"A. Lavrova, E. Postnikov","doi":"10.1109/ICIIBMS.2017.8279753","DOIUrl":"https://doi.org/10.1109/ICIIBMS.2017.8279753","url":null,"abstract":"We investigate different dynamical regimes of a small neuronal circuit. This circuit includes two cells which are interconnected by means of dynamical synapses (excitatory and inhibitory). On the individual level, each neuron is modelled by FitzHugh-Nagumo equations. To analyze complex patterns and transitions between them in this small circuit, we apply wavelet analysis. We show that this tool could be applicable to systems that are difficult to investigate using methods of classical bifurcation analysis.","PeriodicalId":122969,"journal":{"name":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"187 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124143523","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 : 2017-11-01DOI: 10.1109/ICIIBMS.2017.8279722
Kyeongbok Jin, Sang-Youn Kim, In-Ho Lee
Hand-held input devices with vibrotactile feedback for virtual reality systems have been widely used in order to transfer user's intention to virtual environment. However, it is very challenging to originate the vibration and to propagate it to the desired direction. Therefore, we fabricate a new vibrotactile actuator with piezo material and create vibration flow using the fabricated vibrotactile actuator. We also construct a simple application program as a test bed to applied vibration flow with the piezo actuator.
{"title":"A hand-held controller with haptic feedback for virtual reality","authors":"Kyeongbok Jin, Sang-Youn Kim, In-Ho Lee","doi":"10.1109/ICIIBMS.2017.8279722","DOIUrl":"https://doi.org/10.1109/ICIIBMS.2017.8279722","url":null,"abstract":"Hand-held input devices with vibrotactile feedback for virtual reality systems have been widely used in order to transfer user's intention to virtual environment. However, it is very challenging to originate the vibration and to propagate it to the desired direction. Therefore, we fabricate a new vibrotactile actuator with piezo material and create vibration flow using the fabricated vibrotactile actuator. We also construct a simple application program as a test bed to applied vibration flow with the piezo actuator.","PeriodicalId":122969,"journal":{"name":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126599601","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 : 2017-11-01DOI: 10.1109/ICIIBMS.2017.8279714
Ildefons Magrans de Abril, R. Kanai
We propose a more practical method to use empowerment as intrinsic reward within a reinforcement learning setting when states and actions are continuous. Our method builds upon two ideas: i) To take advantage of a new Bellman-like equation of empowerment and ii) to simplify the computation of the local rewards by avoiding the approximation of complex distributions over continuous states and actions.
{"title":"Intrinsically-motivated reinforcement learning for control with continuous actions","authors":"Ildefons Magrans de Abril, R. Kanai","doi":"10.1109/ICIIBMS.2017.8279714","DOIUrl":"https://doi.org/10.1109/ICIIBMS.2017.8279714","url":null,"abstract":"We propose a more practical method to use empowerment as intrinsic reward within a reinforcement learning setting when states and actions are continuous. Our method builds upon two ideas: i) To take advantage of a new Bellman-like equation of empowerment and ii) to simplify the computation of the local rewards by avoiding the approximation of complex distributions over continuous states and actions.","PeriodicalId":122969,"journal":{"name":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126934943","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 : 2017-11-01DOI: 10.1109/ICIIBMS.2017.8279760
Jaehui Park, C. Song, Ji-Hyeong Han
With the fast growing interest in deep learning, various applications and machine learning tasks are emerged in recent years. Video captioning is especially gaining a lot of attention from both computer vision and natural language processing fields. Generating captions is usually performed by jointly learning of different types of data modalities that share common themes in the video. Learning with the joining representations of different modalities is very challenging due to the inherent heterogeneity resided in the mixed information of visual scenes, speech dialogs, music and sounds, and etc. Consequently, it is hard to evaluate the quality of video captioning results. In this paper, we introduce well-known metrics and datasets for evaluation of video captioning. We compare the the existing metrics and datasets to derive a new research proposal for the evaluation of video descriptions.
{"title":"A study of evaluation metrics and datasets for video captioning","authors":"Jaehui Park, C. Song, Ji-Hyeong Han","doi":"10.1109/ICIIBMS.2017.8279760","DOIUrl":"https://doi.org/10.1109/ICIIBMS.2017.8279760","url":null,"abstract":"With the fast growing interest in deep learning, various applications and machine learning tasks are emerged in recent years. Video captioning is especially gaining a lot of attention from both computer vision and natural language processing fields. Generating captions is usually performed by jointly learning of different types of data modalities that share common themes in the video. Learning with the joining representations of different modalities is very challenging due to the inherent heterogeneity resided in the mixed information of visual scenes, speech dialogs, music and sounds, and etc. Consequently, it is hard to evaluate the quality of video captioning results. In this paper, we introduce well-known metrics and datasets for evaluation of video captioning. We compare the the existing metrics and datasets to derive a new research proposal for the evaluation of video descriptions.","PeriodicalId":122969,"journal":{"name":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"1228 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127435554","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 : 2017-11-01DOI: 10.1109/ICIIBMS.2017.8279726
Akira Tsuji, N. Itakura, Tota Mizuno, Shogo Matsuno, H. Kazama, Takuma Toba
For pedestrian traffic, pushbutton traffic signals are used. However, pushbutton signal machines are often installed in inconvenient locations. Therefore, a new method is required to allow pedestrians to switch the traffic signals using a crossing request other than a pushbutton. In this research, we paid attention to the motions of the pedestrians with a crossing request, who tend to “stay and watch the traffic signal in front of the crosswalk.” Pedestrian images were captured using a camera built into the traffic signals and analyzed using image processing. A new traffic signal system is proposed that uses the motions of a pedestrian with a crossing request as an input signal.
{"title":"Study of detection algorithm of pedestrians by image analysis with a crossing request when gazing at a pedestrian crossing signal","authors":"Akira Tsuji, N. Itakura, Tota Mizuno, Shogo Matsuno, H. Kazama, Takuma Toba","doi":"10.1109/ICIIBMS.2017.8279726","DOIUrl":"https://doi.org/10.1109/ICIIBMS.2017.8279726","url":null,"abstract":"For pedestrian traffic, pushbutton traffic signals are used. However, pushbutton signal machines are often installed in inconvenient locations. Therefore, a new method is required to allow pedestrians to switch the traffic signals using a crossing request other than a pushbutton. In this research, we paid attention to the motions of the pedestrians with a crossing request, who tend to “stay and watch the traffic signal in front of the crosswalk.” Pedestrian images were captured using a camera built into the traffic signals and analyzed using image processing. A new traffic signal system is proposed that uses the motions of a pedestrian with a crossing request as an input signal.","PeriodicalId":122969,"journal":{"name":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130628133","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 : 2017-11-01DOI: 10.1109/ICIIBMS.2017.8279707
Nwayyin Najat Mohammed, A. Abdulazeez
The partition around medoids (PAM) algorithm is a robust and flexible unsupervised learning algorithm that depends on the underlying distance and default distance metric is Euclidean distance. The PAM algorithm is more efficient than K-Mean since medoids assess a minimum distance from the other objects. In this study, we have integrated the Mahalanobis distance with PAM algorithm, since Mahalanobis distance has been defined in cluster analysis for different applications and is used to overcome the problem of scaling and correlation with Euclidean distance. However, the performance of PAM algorithm based on Mahalanobis distance was found to be inadequate when employed on selected microarray expression datasets, which were pre-processed prior to the analyses. We proposed an enhanced PAM algorithm based on the weighted and normalized Mahalanobis distance, and the results obtained using our proposed algorithm reveal an ultimate cluster solution for selected microarray datasets. The algorithms were evaluated using the Dunn's validity index.
{"title":"Gene clustering with partition around mediods algorithm based on weighted and normalized mahalanobis distance","authors":"Nwayyin Najat Mohammed, A. Abdulazeez","doi":"10.1109/ICIIBMS.2017.8279707","DOIUrl":"https://doi.org/10.1109/ICIIBMS.2017.8279707","url":null,"abstract":"The partition around medoids (PAM) algorithm is a robust and flexible unsupervised learning algorithm that depends on the underlying distance and default distance metric is Euclidean distance. The PAM algorithm is more efficient than K-Mean since medoids assess a minimum distance from the other objects. In this study, we have integrated the Mahalanobis distance with PAM algorithm, since Mahalanobis distance has been defined in cluster analysis for different applications and is used to overcome the problem of scaling and correlation with Euclidean distance. However, the performance of PAM algorithm based on Mahalanobis distance was found to be inadequate when employed on selected microarray expression datasets, which were pre-processed prior to the analyses. We proposed an enhanced PAM algorithm based on the weighted and normalized Mahalanobis distance, and the results obtained using our proposed algorithm reveal an ultimate cluster solution for selected microarray datasets. The algorithms were evaluated using the Dunn's validity index.","PeriodicalId":122969,"journal":{"name":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128473663","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 : 2017-11-01DOI: 10.1109/ICIIBMS.2017.8279700
E. Suzdaleva, I. Nagy, Matej Petrous
The paper deals with the mixture-based clustering of anonymized data of patients with leukemia. The presented clustering algorithm is based on the recursive Bayesian mixture estimation for the case of exponential components and the data-dependent dynamic pointer model. The main contribution of the paper is the online performance of clustering, which allows us to actualize the statistics of components and the pointer model with each new measurement. Results of the application of the algorithm to the clustering of hematological data are demonstrated and compared with theoretical counterparts.
{"title":"Recursive clustering hematological data using mixture of exponential components","authors":"E. Suzdaleva, I. Nagy, Matej Petrous","doi":"10.1109/ICIIBMS.2017.8279700","DOIUrl":"https://doi.org/10.1109/ICIIBMS.2017.8279700","url":null,"abstract":"The paper deals with the mixture-based clustering of anonymized data of patients with leukemia. The presented clustering algorithm is based on the recursive Bayesian mixture estimation for the case of exponential components and the data-dependent dynamic pointer model. The main contribution of the paper is the online performance of clustering, which allows us to actualize the statistics of components and the pointer model with each new measurement. Results of the application of the algorithm to the clustering of hematological data are demonstrated and compared with theoretical counterparts.","PeriodicalId":122969,"journal":{"name":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133469083","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 : 2017-11-01DOI: 10.1109/ICIIBMS.2017.8279698
K. Kurita
In this paper, a new technique to measure daily human body motion without using cameras and video images is presented. The change in the electric potential of the human body that is caused by the daily performance induces an electrostatic induction current in the electrode placed at a distance of a few meters from the human body. Using this technology, I have developed an effective non-contact technique for the detection of human daily performance by detecting the change in this human-generated body charge. This technique based on the detection of an electrostatic induction current of the order of approximately sub-picoamperes flowing through an electrode that is placed at a distance of 5 m from the subject. It is shown that the characteristics of the individual are included in walking motion, sitting on a chair and retiring motion. This technique effectively explains the behavior of the waveform of the electrostatic induction current flowing through a given measurement electrode through a capacitance model of the human body.
{"title":"Visualization of individual feature amount appearing in daily performance based on electrostatic induction","authors":"K. Kurita","doi":"10.1109/ICIIBMS.2017.8279698","DOIUrl":"https://doi.org/10.1109/ICIIBMS.2017.8279698","url":null,"abstract":"In this paper, a new technique to measure daily human body motion without using cameras and video images is presented. The change in the electric potential of the human body that is caused by the daily performance induces an electrostatic induction current in the electrode placed at a distance of a few meters from the human body. Using this technology, I have developed an effective non-contact technique for the detection of human daily performance by detecting the change in this human-generated body charge. This technique based on the detection of an electrostatic induction current of the order of approximately sub-picoamperes flowing through an electrode that is placed at a distance of 5 m from the subject. It is shown that the characteristics of the individual are included in walking motion, sitting on a chair and retiring motion. This technique effectively explains the behavior of the waveform of the electrostatic induction current flowing through a given measurement electrode through a capacitance model of the human body.","PeriodicalId":122969,"journal":{"name":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124111528","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 : 2017-11-01DOI: 10.1109/ICIIBMS.2017.8279761
Hala M. Hassan, G. Galal-Edeen
Usability and user experience (UX) are considered as key quality determinants of any product, system or service intended for human use, which in turn can be considered as product, system or service success or failure indicators. At the same time, people regularly get confused between the two terms usability and user experience because they are strongly related to each other. In this paper, we first present a collection of usability and user experience definitions from previous studies. Then we provide a survey of different viewpoints about the interrelated relationship between them with the aim to answer the following questions: “Is User Experience part of Usability satisfaction?” or “Is Usability a part of User Experience?”
{"title":"From usability to user experience","authors":"Hala M. Hassan, G. Galal-Edeen","doi":"10.1109/ICIIBMS.2017.8279761","DOIUrl":"https://doi.org/10.1109/ICIIBMS.2017.8279761","url":null,"abstract":"Usability and user experience (UX) are considered as key quality determinants of any product, system or service intended for human use, which in turn can be considered as product, system or service success or failure indicators. At the same time, people regularly get confused between the two terms usability and user experience because they are strongly related to each other. In this paper, we first present a collection of usability and user experience definitions from previous studies. Then we provide a survey of different viewpoints about the interrelated relationship between them with the aim to answer the following questions: “Is User Experience part of Usability satisfaction?” or “Is Usability a part of User Experience?”","PeriodicalId":122969,"journal":{"name":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114176117","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 : 2017-11-01DOI: 10.1109/ICIIBMS.2017.8279703
Yoshinori Bandou, O. Fukuda, H. Okumura, K. Arai, N. Bu
This paper proposes a novel control method which combines an EMG pattern classifier with a vision-based object classifier to control various motions of a prosthetic hand. A deep convolutional neural network is adopted for the object recognition, and the posture of the prosthetic hand is controlled based on the recognition result of the object. To verify the validity of the proposed control method, the experiment was executed with 25 target objects. 3000 images for each target object were collected during the approach phase of hand motion to the object. High recognition performance was confirmed with an accuracy over 80%, although the misclassification was observed at the early phase of the approach motion. These results revealed that the proposed method has high potential to control various motions of the prosthetic hand.
{"title":"Development of a prosthetic hand control system Based on general object recognition analysis of recognition accuracy during approach phase","authors":"Yoshinori Bandou, O. Fukuda, H. Okumura, K. Arai, N. Bu","doi":"10.1109/ICIIBMS.2017.8279703","DOIUrl":"https://doi.org/10.1109/ICIIBMS.2017.8279703","url":null,"abstract":"This paper proposes a novel control method which combines an EMG pattern classifier with a vision-based object classifier to control various motions of a prosthetic hand. A deep convolutional neural network is adopted for the object recognition, and the posture of the prosthetic hand is controlled based on the recognition result of the object. To verify the validity of the proposed control method, the experiment was executed with 25 target objects. 3000 images for each target object were collected during the approach phase of hand motion to the object. High recognition performance was confirmed with an accuracy over 80%, although the misclassification was observed at the early phase of the approach motion. These results revealed that the proposed method has high potential to control various motions of the prosthetic hand.","PeriodicalId":122969,"journal":{"name":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115458361","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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