Language：English   Publishing type：Research paper (scientific journal)  

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Language：Japanese   Publishing type：Research paper (scientific journal)  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Newswood Limited  

In this study, we investigate the possibility of analyzing indoor location estimation under the NLoS environment by radial extreme value distribution model. In this study, we assume that the observed distance between the transmitter and receiver is a statistical radial extreme value distribution. The proposed method is based on the marginal likelihoods of radial extreme value distribution generated by positive distribution among several transmitter radio sites placed in a room. To demonstrate the effectiveness of the proposed method, we carried out a simulation study and conducted two sets of experiments to assess the accuracy of the location estimation for the static case and dynamic case. In the static experiment, the subject was stationary in some places within the chamber. In this experiment, we were able to demonstrate the precise performance of the proposed method. In the dynamic experiment, the subject was moved around within the chamber. In this experiment, we were able to determine the suitability of the proposed method for practical use. Results indicate that high accuracy was achieved when the method was implemented for indoor spatial location estimation.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer Verlag  

We study the problem of analyzing and classifying frontal view gait video data. In this study, we focus on the shape scale changing in the frontal view human gait, we estimate scale parameters using the statistical registration and modeling on a video data. To demonstrate the effectiveness of our method, we apply our model to young and elderly, normal and pathological gait analysis. As a result, our model shows good performance for the scale estimation and gait analysis.

DOI： 10.1007/978-3-319-40093-8_66

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Language：Japanese   Publisher：日本計算機統計学会  

DOI： 10.20551/jscswabun.29.1_49

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Language：Japanese   Publisher：日本計算機統計学会  

DOI： 10.20551/jscstaikai.30.0_13

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

We study the problem of analyzing indoor location estimation by statistical radial distribution model. In this study, we suppose the observed distance data between transmitter and receiver as a radial log-normal distribution. We estimate the subject's location using marginal likelihoods of radial log-normal distribution. To demonstrate the effectiveness of our method, we conducted two sets of experiments, assessing the accuracy of location estimation of static case and dynamic case. In static experiment, subject is stationary state in some places in the chamber. This experiment is able to measure the precise performance of proposed method. In dynamic experiment, subject is move around in the chamber. This experiment is able to measure the suitability for practical use of proposed method. As a result, our method shows high accuracy for the static case indoor spatial location estimation.

DOI： 10.1109/CINTI.2015.7382938

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：INT ASSOC ENGINEERS-IAENG  

We study the problem of analyzing indoor location estimation by statistical radial distribution model. In this study, we suppose the observed distance data between transmitter and receiver as a statistical radial distribution. The proposed method is based on the marginal likelihoods of radial distribution generated by positive distribution among the several transmitter radio sites placed in the room. To demonstrate the effectiveness of our method, we conducted two sets of experiments, assessing the accuracy of location estimation of static case and dynamic case. In static experiment, subject is stationary state in some places in the chamber. This experiment is able to measure the precise performance of proposed method. In dynamic experiment, subject is move around in the chamber. This experiment is able to measure the suitability for practical use of proposed method. As a result, our method shows high accuracy for the indoor spatial location estimation compared to other previous methods..

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Language：Japanese   Publisher：日本計算機統計学会  

We present the design of recommendation system for real-estate e-commerce site based on the co-occurrence relation analysis of search criterion. A study on design of recommendation system is very important role in the field of e-commerce business. In this paper, We focus on the search criterion in the e-commerce site. Assuming that each search criterion have implicit relationship. We estimate the degree of association between each search criterions using zero-inflated beta distribution. As a result, our method shows good performance in the real-estate e-commerce site.

DOI： 10.20551/jscswabun.28.2_147

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer Verlag  

A study on the healthcare application is very important for the solitary death in aging society. Many previous works had been proposed a detection method of aspiration using the non-contact radar. But the works are only in subjects with sitting in a chair. We consider that user falls down in the state when he happen abnormal situation as daily life. In this study, we focus on the detection of "aspiration" or "apnea" for the lying position, because the final decision of the life or death is aspiration. As initial stage of the system, we propose the recognition method for the presence of aspiration with lying position under the low-disturbance environment from microwave Doppler signals by using support vector machine (SVM). © 2014 Springer Science+Business Media Dordrecht.

DOI： 10.1007/978-94-007-6818-5_38

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer Verlag  

We study the problem of analyzing and classifying frontal view human gait data by registration and modeling on a video data. In this study, we suppose that frontal view gait data as a mixing of scale changing, human movements and speed changing parameter. Our gait model is based on human gait structure and temporal-spatial relations between camera and subject. To demonstrate the effectiveness of our method, we conducted two sets of experiments, assessing the proposed method in gait analysis for young/elderly person and abnormal gait detecting. In abnormal gait detecting experiment, we apply K-NN classifier, using the estimated parameters, to perform normal/abnormal gait detect, and present results from an experiment involving 120 subjects (young person), and 60 subjects (elderly person). As a result, our method shows high detection rate. © 2014 Springer Science+Business Media Dordrecht.

DOI： 10.1007/978-94-007-6818-5_37

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Language：Japanese   Publisher：日本計算機統計学会  

We study the problem of web site classification for purchase or non-purchase customer estimation. A study on data mining of web site access log data is very important role in the field of e-commerce and web site design. In this study, we focus on the customer's behavior in the e-commerce web site. Firstly, we detect the difference between purchase and non-purchase customer's behavior based on the graph model. Secondly, we reconstruct the web site classification based on the graph model's result. Finally, we estimate the purchase or non-purchase customer's behavior using HMM by the reconstructed web site classification. As a result, our classification method shows better performance than other method.

DOI： 10.20551/jscswabun.27.2_81

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Language：Japanese   Publisher：日本計算機統計学会  

DOI： 10.20551/jscssymo.28.0_157

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：CRC PRESS-TAYLOR & FRANCIS GROUP  

We study the problem of analyzing and classifying frontal view gait video data. The video data filmed from the frontal view is difficult to analyze, because the subject getting close in to the camera, and data includes the scale-changing parameters (Barnich and Droogenbroeck 2009, Lee et al. 2008). To cope with this, Okusa et al. (2011) and Okusa & Kamakura (2012) proposed a registration for scales of moving object using the method of nonlinear least squares, but Okusa et al. (2011) and Okusa & Kamakura (2012) did not focus on the human leg swing. Okusa & Kamakura (2013c) focus on the gait analysis using arm and leg swing model with estimated parameters and application to the normal/abnormal gait analysis. However, their models have many of parameters, and it raise calculation cost and instability of parameter estimation. Okusa & Kamakura (2013a) focus on the calculation cost and parameter estimation stability. The performance of Okusa & Kamakura (2013a) model is able to speed up the parameter estimation. However, the problem of parameter estimation stability still remains to be solved. Okusa & Kamakura (2013b) proposed simplified gait model based on the Okusa & Kamakura (2013a)'s model, it settled stability of parameter estimation. In this article, we focus on the behavior of Okusa & Kamakura (2013b) model's parameters. We validate the Okusa & Kamakura (2013b)'s model from the stand point of stability of the parameter estimation based on the numerical simulation. As a result, Okusa & Kamakura (2013b)'s gait model is stable to estimate the arm swim amplitude, subjects walking speed, gait frequency. However, on the other hand, this model is difficult to estimate the phase parameters. This result indicates Okusa & Kamakura (2013b) model is difficult to apply for the frontal view gait authentication.

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We study the problem of analyzing and classifying frontal view gait video data. In this study, we focus on the human walking speed and amplitude of arm swing and leg swing, we estimate these parameters using the statistical registration and modeling on a video data. To demonstrate the effectiveness of our method, we apply our gait parameter estimation model for the human gait video data. As a result, our model is able to estimate the gait parameters by stably at low calculation cost.

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We study the problem of analyzing and classifying frontal view gait video data. In this study, we suppose that frontal view gait data as a mixing of scale changing, human movements and speed changing parameters. We estimate these parameters using the statistical registration and modeling on a video data. Our gait model is based on human gait structure and temporal-spatial relations between camera and subject. To demonstrate the effectiveness of our method, we conducted two sets of experiments, assessing the proposed method in gait analysis for young/elderly person and abnormal gait detection. In abnormal gait detection experiment, we apply K-nearestneighbor classifier, using the estimated parameters, to perform normal/abnormal gait detect, and present results from an experiment involving 120 subjects (young person), and 60 subjects (elderly person). As a result, our method shows high detection rate.

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Language：Japanese   Publisher：日本計算機統計学会  

DOI： 10.20551/jscstaikai.27.0_129

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：INT ASSOC ENGINEERS-IAENG  

We study the problem of analyzing and classifying frontal view gait video data. In this study, we suppose that frontal view gait data as a mixing of scale changing, human movements and speed changing parameters. We estimate these parameters using the statistical registration and modeling on a video data. To demonstrate the effectiveness of our method, we conducted experiment, assessing the proposed method for frontal view human gait authentication. We apply K-nearest-neighbor classifier, using the estimated parameters, to perform the human gait authentication, and present results from an experiment involving 120 subjects. As a result, our method shows high recognition rate and low calculation cost.

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Language：Japanese   Publisher：日本計算機統計学会  

DOI： 10.20551/jscssymo.27.0_41

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Language：Japanese   Publisher：日本計算機統計学会  

DOI： 10.20551/jscstaikai.26.0_25

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Language：Japanese   Publisher：日本計算機統計学会  

We study the problems of the structure model and speed parameter estimation for scales of moving object on the video data with application to gait analysis. A study on the human gait is important in the fields of the biometrics study and the sports/health managements for planning optimal trainings. The motion capture system can give the precise measurements of trajectories of moving objects, but it requires the laboratory environments and this cannot be used in the field study. On the other hand, the video camera is handy to observe the gait motion in the field study, but such data has many restrictions on analysis based on the filming conditions. In particular, the video data filmed from the frontal-view is difficult to analyze, because the subject getting closer to the camera, and observed data includes the scale-changing parameters. To cope with this, Okusa et al. (2010) proposed a registration algorithm for scales of moving object using the method of nonlinear least squares with application to the gait analysis assuming constant speed. In this article, focusing on the human gait cycles and speeds, we consider the human gait modeling based on simple gait structure. We estimate the parameters of the human gait cycles and speeds using the method of nonlinear least squares (Okusa et al., 2010). We also show that estimated parameters may be used for the human gait analysis.

DOI： 10.20551/jscswabun.24.2_89

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Language：Japanese   Publisher：日本計算機統計学会  

DOI： 10.20551/jscssymo.26.0_35

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Language：Japanese   Publisher：日本計算機統計学会  

A study on the motion picture plays an important role in the fields of authentication technology and sports managements for planning optimal trainings. However, such works depend on filming situation, and its difficult to analyze frontal view of scale-changing objects. The standard motion analysis software like "Dartfish" cannot handle the objects approaching to the camera. In this case, such software only shows series of picture image and it is hard to get numerical information from them. In this article we propose a statistical methodology that manage to extract information from the scale-changing objects based on the movie data by a consumer video camera and also apply this to real walking data.

DOI： 10.20551/jscswabun.23.2_97

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Language：Japanese   Publisher：日本計算機統計学会  

DOI： 10.20551/jscstaikai.25.0_121

CiNii Books

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Language：Japanese   Publisher：日本計算機統計学会  

DOI： 10.20551/jscstaikai.22.0_109

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Language：Japanese   Publisher：日本計算機統計学会  

DOI： 10.20551/jscstaikai.21.0_137

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Language：English  

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Language：English   Publisher：INT ASSOC ENGINEERS-IAENG  

Recently, the study with microwave Doppler radar is paid attention to. Microwave Doppler radar is one of the non-contact sensor, and detects the action of objects. The study focused on indoor human behavior has been developed. However, disturbance environment that pet and electronic device are moving in the room is considered in real daily life. We considered that an oscillating electric fan is most difficult disturbance environment to discriminate from human breathing, because the frequency range of which each signature appears is similar. In this paper, we propose a method to simulate the moving of an oscillating electric fan based on the data obtained from microwave Doppler radar. Finally, we evaluate the modelization of the moving of an oscillating electric fan. We compare computer simulation with metering experiment by residual sum of squares. As a result, our model shows good performance.

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Language：Japanese   Publisher：Japanese Society of Computational Statistics  

We study the problems of the structure model and speed parameter estimation for scales of moving object on the video data with application to gait analysis. A study on the human gait is important in the fields of the biometrics study and the sports/health managements for planning optimal trainings. The motion capture system can give the precise measurements of trajectories of moving objects, but it requires the laboratory environments and this cannot be used in the field study. On the other hand, the video camera is handy to observe the gait motion in the field study, but such data has many restrictions on analysis based on the filming conditions. In particular, the video data filmed from the frontal-view is difficult to analyze, because the subject getting closer to the camera, and observed data includes the scale-changing parameters. To cope with this, Okusa et al. (2010) proposed a registration algorithm for scales of moving object using the method of nonlinear least squares with application to the gait analysis assuming constant speed. In this article, focusing on the human gait cycles and speeds, we consider the human gait modeling based on simple gait structure. We estimate the parameters of the human gait cycles and speeds using the method of nonlinear least squares (Okusa et al., 2010). We also show that estimated parameters may be used for the human gait analysis.

DOI： 10.20551/jscswabun.24.2_89

CiNii Books

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Language：English   Publisher：INT ASSOC ENGINEERS-IAENG  

A study on the healthcare application is very important for the solitary death in aging society. Many previous works had been proposed a detection method of aspiration using the non -contact radar. But the works are only in subjects with sitting in a chair. We consider that user falls down in the state when he happen abnormal situation as daily life.
In this study, we focus on the detection of "aspiration" or "apnea" for the lying position, because the final decision of the life or death is aspiration. As initial stage of the system, we propose the recognition method for the presence of aspiration with lying position under the low-disturbance environment from microwave Doppler signals by using support vector machine (SVM).

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Language：English   Publisher：Int'l Statist. Institute  

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Language：English   Publisher：Australian Statist. Soc.  

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Language：English   Publisher：Australian Statist. Soc.  

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Language：Japanese   Publisher：日本計算機統計学会  

A study on the motion picture plays an important role in the fields of authentication technology and sports managements for planning optimal trainings. However, such works depend on filming situation, and its difficult to analyze frontal view of scale-changing objects. The standard motion analysis software like "Dartfish" cannot handle the objects approaching to the camera. In this case, such software only shows series of picture image and it is hard to get numerical information from them. In this article we propose a statistical methodology that manage to extract information from the scale-changing objects based on the movie data by a consumer video camera and also apply this to real walking data.

DOI： 10.20551/jscswabun.23.2_97

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Language：Japanese  

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Language：Japanese   Presentation type：Oral presentation (general)  

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Language：Japanese   Presentation type：Oral presentation (general)  

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Language：Japanese   Presentation type：Oral presentation (general)  

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Language：Japanese   Presentation type：Oral presentation (general)  

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Language：Japanese   Presentation type：Oral presentation (general)  

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Language：Japanese   Presentation type：Oral presentation (general)  

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Language：Japanese  

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Language：Japanese   Presentation type：Oral presentation (general)  

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Language：Japanese   Presentation type：Oral presentation (general)  

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Language：Japanese   Presentation type：Oral presentation (general)  

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Language：Japanese   Presentation type：Oral presentation (general)  

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Language：Japanese   Presentation type：Oral presentation (general)  

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Language：Japanese   Presentation type：Oral presentation (general)  

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Language：Japanese   Presentation type：Oral presentation (general)  

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Language：Japanese   Presentation type：Oral presentation (general)  

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