2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)最新文献
Pub Date : 2017-06-01DOI: 10.1109/SNPD.2017.8048202
Nasrin Evazzadeh Mohammadiyan, A. Ghaedi
Up to now, different algorithms based on evolutionary processes have been provided, which each has its own strengths and weaknesses. A physical phenomenon has many and complex variables and assumptions, and a number of these assumptions should be ignored in order to have a simpler modeling. Generally speaking, full modeling of a natural process through evolutionary algorithms is impossible, therefore, researchers consider special requirements for the natural and biological modeling processes, and they begin modeling, considering the assumptions limits. Evolutionary algorithms for modeling, need simple conditions and assumptions, and this simplification can take away a modeling from its actual state. Firefly algorithm is one of the evolutionary algorithms that is presented on the basis of social behavior and optical pulses between the insects. Lack of sufficient breeding of fireflies is one of the drawbacks that is not considered in the algorithm, and this factor has a negative impact on the convergence of the algorithm. Unlike the firefly algorithm, the weed algorithm, is a reproduction mechanism among plants, and the number of each plant's offspring are considered in accordance with its fitness, and in this study, this mechanism is used in firefly algorithm. The results show that the proposed algorithm has better accuracy and convergence, at least in comparison with firefly and bat algorithms.
{"title":"Enhancing the accuracy of firefly algorithm by using the reproduction mechanism","authors":"Nasrin Evazzadeh Mohammadiyan, A. Ghaedi","doi":"10.1109/SNPD.2017.8048202","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8048202","url":null,"abstract":"Up to now, different algorithms based on evolutionary processes have been provided, which each has its own strengths and weaknesses. A physical phenomenon has many and complex variables and assumptions, and a number of these assumptions should be ignored in order to have a simpler modeling. Generally speaking, full modeling of a natural process through evolutionary algorithms is impossible, therefore, researchers consider special requirements for the natural and biological modeling processes, and they begin modeling, considering the assumptions limits. Evolutionary algorithms for modeling, need simple conditions and assumptions, and this simplification can take away a modeling from its actual state. Firefly algorithm is one of the evolutionary algorithms that is presented on the basis of social behavior and optical pulses between the insects. Lack of sufficient breeding of fireflies is one of the drawbacks that is not considered in the algorithm, and this factor has a negative impact on the convergence of the algorithm. Unlike the firefly algorithm, the weed algorithm, is a reproduction mechanism among plants, and the number of each plant's offspring are considered in accordance with its fitness, and in this study, this mechanism is used in firefly algorithm. The results show that the proposed algorithm has better accuracy and convergence, at least in comparison with firefly and bat algorithms.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124560500","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 : 2017-06-01DOI: 10.1109/SNPD.2017.8022787
T. Matsuo, Hidekazu Iwamoto
In existing convention management research and its business research, the results of analyses of surveys using answer of questionnaire clarify the motivation of participation, satisfactions and expectation to attend conference for convention attendees. These contributions help event planners and several other stakeholders to design and prepare the conference. Convention is one of good functions to provide networking opportunity for attendees. In this paper, we clarify the characteristics of attendees whose motivation to attend conventions are networking. We show attendees' expectations to the conference for attendees, who think that the networking is important purpose to attend the conference. The number of attendee and rate of highly show-up people are important to enhance their satisfaction. Thus, we implemented a conference attendee management system and introduce it.
{"title":"Analysis of motivation of convention participants and proposal of attendance management system","authors":"T. Matsuo, Hidekazu Iwamoto","doi":"10.1109/SNPD.2017.8022787","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022787","url":null,"abstract":"In existing convention management research and its business research, the results of analyses of surveys using answer of questionnaire clarify the motivation of participation, satisfactions and expectation to attend conference for convention attendees. These contributions help event planners and several other stakeholders to design and prepare the conference. Convention is one of good functions to provide networking opportunity for attendees. In this paper, we clarify the characteristics of attendees whose motivation to attend conventions are networking. We show attendees' expectations to the conference for attendees, who think that the networking is important purpose to attend the conference. The number of attendee and rate of highly show-up people are important to enhance their satisfaction. Thus, we implemented a conference attendee management system and introduce it.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130546770","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 : 2017-06-01DOI: 10.1109/SNPD.2017.8022719
Yuhan Dong, Siyuan Qian, Kai Zhang, Yongzhi Zhai
Passenger hotspots searching is essential to increase profits for taxis drivers in urban area. In this paper, we propose a two-step approach for pick-up hotspots searching. In the first step, a traveling similarity model is built to quantify the similarity of traveling behaviors. In the second step, we utilize affinity propagation and simulated annealing to identify the daily passenger hotspots in a selected period. Numerical results based on GPS data of Manhattan taxis suggest that the proposed approach outperforms the traditional spatio-temporal clustering regardless of buffer radius.
{"title":"A novel passenger hotspots searching algorithm for taxis in urban area","authors":"Yuhan Dong, Siyuan Qian, Kai Zhang, Yongzhi Zhai","doi":"10.1109/SNPD.2017.8022719","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022719","url":null,"abstract":"Passenger hotspots searching is essential to increase profits for taxis drivers in urban area. In this paper, we propose a two-step approach for pick-up hotspots searching. In the first step, a traveling similarity model is built to quantify the similarity of traveling behaviors. In the second step, we utilize affinity propagation and simulated annealing to identify the daily passenger hotspots in a selected period. Numerical results based on GPS data of Manhattan taxis suggest that the proposed approach outperforms the traditional spatio-temporal clustering regardless of buffer radius.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"34 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130588892","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 : 2017-06-01DOI: 10.1109/SNPD.2017.8022765
L. Niu, S. Saiki, Masahide Nakamura
Pervasive sensing technologies are promising for increasing one-person households (OPH), where the sensors monitor and assist the resident to maintain healthy life rhythm. Towards the practical use, the recognition of activities of daily living (ADL) is an important step. Many studies of the ADL recognition have been conducted so far, for real-life and human-centric applications such as eldercare and healthcare. However, most existing methods have limitations in deployment cost, privacy exposure, and inconvenience for residents. To cope with the limitations, this paper presents a new indoor ADL recognition system especially for OPH. To minimize the deployment cost as well as the intrusions to user and house, we exploit an IoT-based environment-sensing device, called Autonomous Sensor Box (SensorBox) which can autonomously measure 7 kinds of environment attributes. We apply machine-learning techniques to the collected data, and predicts 7 kinds of ADLs. We conduct an experiment within an actual apartment of a single user. The result shows that the proposed system achieves the average accuracy of ADL recognition with more than 88%, by carefully developing the features of environment attributes.
{"title":"Recognizing ADLs of one person household based on non-intrusive environmental sensing","authors":"L. Niu, S. Saiki, Masahide Nakamura","doi":"10.1109/SNPD.2017.8022765","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022765","url":null,"abstract":"Pervasive sensing technologies are promising for increasing one-person households (OPH), where the sensors monitor and assist the resident to maintain healthy life rhythm. Towards the practical use, the recognition of activities of daily living (ADL) is an important step. Many studies of the ADL recognition have been conducted so far, for real-life and human-centric applications such as eldercare and healthcare. However, most existing methods have limitations in deployment cost, privacy exposure, and inconvenience for residents. To cope with the limitations, this paper presents a new indoor ADL recognition system especially for OPH. To minimize the deployment cost as well as the intrusions to user and house, we exploit an IoT-based environment-sensing device, called Autonomous Sensor Box (SensorBox) which can autonomously measure 7 kinds of environment attributes. We apply machine-learning techniques to the collected data, and predicts 7 kinds of ADLs. We conduct an experiment within an actual apartment of a single user. The result shows that the proposed system achieves the average accuracy of ADL recognition with more than 88%, by carefully developing the features of environment attributes.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121403059","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}
Panorama images are most recently utilized on immersive virtual reality system. This paper point up simply methodology for developing virtual reality applications based on environment panorama display system. The 2D panorama images are taken from real world environments. Panoramas including their information are shared as VR materials and can be retrieved and rendered as virtual environments on many virtual systems in different contents. Multiple connection points among images are managed for realistic feeling to navigate in the constructed virtual environment. To assess the success of methodology process, the virtual system to tour an organization is constructed using images taking from places of a building in the organization. The built system can work well as individual mobile application.
{"title":"Simplify methodology for developing VR applications based on shared VR materials","authors":"Benjamas Panyangam, Suttipong Surak, Sangapong Panyakeaw","doi":"10.1109/SNPD.2017.8022722","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022722","url":null,"abstract":"Panorama images are most recently utilized on immersive virtual reality system. This paper point up simply methodology for developing virtual reality applications based on environment panorama display system. The 2D panorama images are taken from real world environments. Panoramas including their information are shared as VR materials and can be retrieved and rendered as virtual environments on many virtual systems in different contents. Multiple connection points among images are managed for realistic feeling to navigate in the constructed virtual environment. To assess the success of methodology process, the virtual system to tour an organization is constructed using images taking from places of a building in the organization. The built system can work well as individual mobile application.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125787278","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 : 2017-06-01DOI: 10.1109/SNPD.2017.8022783
A. Sada, Naoshi Sakamoto
In recent years, mobile terminals come to be used to assist works. However, we can not say that they are enough suitable to assist works either that occupy hands or that are accomplished in environment with water or fire, which cause troubles with electronic devices. In this study, in order to solve this problem, we propose an assist system using projection mapping and NUI. Note that our system is not an application program, but replaces the former UI simply. Our system consists of a depth camera, an RGB camera, and a projector. It causes a click event by detecting whether a user touches the screen. By replacing the click operation with the touching on the projected screen, it can utilize various existing applications and contents.
{"title":"A user interface utilizing various contents in difficult environment","authors":"A. Sada, Naoshi Sakamoto","doi":"10.1109/SNPD.2017.8022783","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022783","url":null,"abstract":"In recent years, mobile terminals come to be used to assist works. However, we can not say that they are enough suitable to assist works either that occupy hands or that are accomplished in environment with water or fire, which cause troubles with electronic devices. In this study, in order to solve this problem, we propose an assist system using projection mapping and NUI. Note that our system is not an application program, but replaces the former UI simply. Our system consists of a depth camera, an RGB camera, and a projector. It causes a click event by detecting whether a user touches the screen. By replacing the click operation with the touching on the projected screen, it can utilize various existing applications and contents.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133877225","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 : 2017-06-01DOI: 10.1109/SNPD.2017.8022726
Hnin Mya Aye, Sai Maung Maung Zaw
Action recognition has been an active research area in computer vision community during the recent years. However, it is still a challenging task due to the difficulties mainly resulted from the background clutter, illumination changes, large intra-class variation and noise. In this paper, we aim to develop an action recognition approach by navigating focus of attention (action region) with saliency detection and introducing a feature descriptor, namely Histogram of Accumulated Changing Gradient Orientation (HACGO). We firstly detect saliency in each video frame by computing pattern and color distinctness to localize action region. Then, we extract appearance and motion features using proposed HACGO, and existing HOG and HOF feature descriptors. Finally, a multi-class SVM classifier is applied to recognize different actions. The experiments were conducted on the standard UCF Sports action dataset. As experimental results, our action recognition approach achieved high recognition accuracy with a new combination of feature descriptors.
{"title":"Histogram of Accumulated Changing Gradient Orientation (HACGO) for saliency navigated action recognition","authors":"Hnin Mya Aye, Sai Maung Maung Zaw","doi":"10.1109/SNPD.2017.8022726","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022726","url":null,"abstract":"Action recognition has been an active research area in computer vision community during the recent years. However, it is still a challenging task due to the difficulties mainly resulted from the background clutter, illumination changes, large intra-class variation and noise. In this paper, we aim to develop an action recognition approach by navigating focus of attention (action region) with saliency detection and introducing a feature descriptor, namely Histogram of Accumulated Changing Gradient Orientation (HACGO). We firstly detect saliency in each video frame by computing pattern and color distinctness to localize action region. Then, we extract appearance and motion features using proposed HACGO, and existing HOG and HOF feature descriptors. Finally, a multi-class SVM classifier is applied to recognize different actions. The experiments were conducted on the standard UCF Sports action dataset. As experimental results, our action recognition approach achieved high recognition accuracy with a new combination of feature descriptors.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129399703","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 : 2017-06-01DOI: 10.1109/SNPD.2017.8022763
Takuhiro Kagawa, S. Saiki, Masahide Nakamura
Local governments in Japan recently provide security information services for residents, which deliver regional incident information using Email or Web. However, since the conventional services usually provide “one-for-all” information. users tend to miss important incidents within the flood of information. In this paper, we propose a new security information service, called PRISM (Personalized Real-time Information with Security Map). For given incident information and user's living area, PRISM first computes severity of the incident, based on distance, time, and type of the incident. It then visualizes the incidents with the severity on a heat map. Thus, PRISM provides real-time personalized information adapted to individual situation of users. To illustlate the feasibility, we implement PRISM as a Web application using Hyogo Bouhan Net, and Kobe city facility open data.
最近，日本地方自治团体为居民提供了通过电子邮件或网络传递地区事件信息的安全信息服务。然而，由于传统服务通常提供“一劳永逸”的信息。用户往往会错过信息洪流中的重要事件。本文提出了一种新的安全信息服务——PRISM (Personalized Real-time information with security Map)。对于给定的事件信息和用户的居住区域，PRISM首先根据事件的距离、时间和类型计算事件的严重程度。然后在热图上可视化事件的严重程度。因此，PRISM提供了适应用户个人情况的实时个性化信息。为了说明该方法的可行性，我们利用兵库博汉网和神户城市设施开放数据，将PRISM作为一个Web应用程序来实现。
{"title":"Developing personalized security information service using open data","authors":"Takuhiro Kagawa, S. Saiki, Masahide Nakamura","doi":"10.1109/SNPD.2017.8022763","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022763","url":null,"abstract":"Local governments in Japan recently provide security information services for residents, which deliver regional incident information using Email or Web. However, since the conventional services usually provide “one-for-all” information. users tend to miss important incidents within the flood of information. In this paper, we propose a new security information service, called PRISM (Personalized Real-time Information with Security Map). For given incident information and user's living area, PRISM first computes severity of the incident, based on distance, time, and type of the incident. It then visualizes the incidents with the severity on a heat map. Thus, PRISM provides real-time personalized information adapted to individual situation of users. To illustlate the feasibility, we implement PRISM as a Web application using Hyogo Bouhan Net, and Kobe city facility open data.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115737891","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 : 2017-06-01DOI: 10.1109/SNPD.2017.8022734
Sirikwan Treetippayaruk, T. Senivongse
Software installed on a computer does have security vulnerabilities to which an attacker can have access and do harm to the computer. It is known to be a good practice to install updates or upgrade versions of the software regularly to improve features, stability, and security, but often those updates and upgrades are ignored or delayed for several reasons. In addition, the new releases may come with some other vulnerabilities themselves. The motivation of this paper is to give information to computer users about the impact of software upgrade in terms of severity of the vulnerabilities that would result from the upgrade, in comparison with that of the vulnerabilities of the currently installed software. We propose a method to assess security vulnerabilities of the installed and the latest versions based on the CVSS vulnerability scoring system. Severity of vulnerabilities will be reported to suggest whether the upgrade is really needed to improve security. We also present an assessment tool that supports both personal and corporate use.
{"title":"Security vulnerability assessment for software version upgrade","authors":"Sirikwan Treetippayaruk, T. Senivongse","doi":"10.1109/SNPD.2017.8022734","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022734","url":null,"abstract":"Software installed on a computer does have security vulnerabilities to which an attacker can have access and do harm to the computer. It is known to be a good practice to install updates or upgrade versions of the software regularly to improve features, stability, and security, but often those updates and upgrades are ignored or delayed for several reasons. In addition, the new releases may come with some other vulnerabilities themselves. The motivation of this paper is to give information to computer users about the impact of software upgrade in terms of severity of the vulnerabilities that would result from the upgrade, in comparison with that of the vulnerabilities of the currently installed software. We propose a method to assess security vulnerabilities of the installed and the latest versions based on the CVSS vulnerability scoring system. Severity of vulnerabilities will be reported to suggest whether the upgrade is really needed to improve security. We also present an assessment tool that supports both personal and corporate use.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"469 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124386058","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 : 2017-06-01DOI: 10.1109/SNPD.2017.8022785
Pham Truong Hong Ngan, T. Hochin, Hiroki Nomiya
This paper proposes a method for measuring human body movement similarity by considering human body motion as a set of 3-dimensional curves representing the changes of direction. This analysis method is used for obtaining similarity values of the body movement of various subjects. Firstly, the performing speed of movements are compared and adjusted. Next, two types of normalized methods, which are based on the Space Harmony Theory, normalize the human postures in motion data frames. Then, the direction sequences describing the motion paths are derived. After that, an improved method inspired by the dissimilarity measure of the 3D curves is used for measuring the similarity of human body movements.
{"title":"Similarity measure of human body movement through 3D chaincode","authors":"Pham Truong Hong Ngan, T. Hochin, Hiroki Nomiya","doi":"10.1109/SNPD.2017.8022785","DOIUrl":"https://doi.org/10.1109/SNPD.2017.8022785","url":null,"abstract":"This paper proposes a method for measuring human body movement similarity by considering human body motion as a set of 3-dimensional curves representing the changes of direction. This analysis method is used for obtaining similarity values of the body movement of various subjects. Firstly, the performing speed of movements are compared and adjusted. Next, two types of normalized methods, which are based on the Space Harmony Theory, normalize the human postures in motion data frames. Then, the direction sequences describing the motion paths are derived. After that, an improved method inspired by the dissimilarity measure of the 3D curves is used for measuring the similarity of human body movements.","PeriodicalId":186094,"journal":{"name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116451954","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：