Pub Date : 2018-05-16DOI: 10.1109/WAINA.2018.00141
N. Lassoued, Noureddine Boujnah, R. Bouallègue
Nowadays, energy consumption issues has gained particular interest specially in the telecommunication field. The rise of energy consumption leads to a significant increase on CO2 emissions and has indirect drawbacks on environment. Reducing energy consumption in wireless network became a hot topic of research. In this paper, we propose an energy saving approach in heterogeneous networks (HetNet) by switching ON/OFF LTEAdvanced Base Station (BS) and allowing their users according to their SINR (Signal to Interference plus Noise Ratio) values to femto cells or to neighbors eNodeBs (eNBs) by applying the concept of Coordinated Multipoint (CoMP) in order to guarantee Quality of service (QoS).
目前，能源消耗问题已经引起了人们的特别关注，特别是在电信领域。能源消费的增加导致二氧化碳排放量的显著增加，并对环境产生间接的不利影响。降低无线网络的能耗成为研究的热点。在本文中，我们提出了一种在异构网络(HetNet)中节能的方法，通过开关LTEAdvanced Base Station (BS)，并允许其用户根据其SINR(信噪比)值到femto cell或邻居enodeb (eNBs)，通过应用协调多点(CoMP)的概念，以保证服务质量(QoS)。
{"title":"Reducing Power Consumption in HetNet Network Using Power Adjustment and Coordinated Multipoint Technique","authors":"N. Lassoued, Noureddine Boujnah, R. Bouallègue","doi":"10.1109/WAINA.2018.00141","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00141","url":null,"abstract":"Nowadays, energy consumption issues has gained particular interest specially in the telecommunication field. The rise of energy consumption leads to a significant increase on CO2 emissions and has indirect drawbacks on environment. Reducing energy consumption in wireless network became a hot topic of research. In this paper, we propose an energy saving approach in heterogeneous networks (HetNet) by switching ON/OFF LTEAdvanced Base Station (BS) and allowing their users according to their SINR (Signal to Interference plus Noise Ratio) values to femto cells or to neighbors eNodeBs (eNBs) by applying the concept of Coordinated Multipoint (CoMP) in order to guarantee Quality of service (QoS).","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130538383","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 : 2018-05-16DOI: 10.1109/WAINA.2018.00135
Zijian Li, Jun Yang, Baojiang Cui
Smart mobile terminals are growing rapidly. Nowadays Android has been the leading role in mobile system market with an extremely large user scale. Consequently, large amounts of sensitive data stored in mobile devices are facing an increasing number of threats. Those sensitive data contains not only personal information like contacts and sms, but also some high-level security information in IoT (Internet of Things) devices, even bank accounts and passwords. In this paper, we designed our Sensitive Data Protection mechanism (SDP) based on SELinux in Android (SEAndroid), which can significantly enhance the protection for the static sensitive data in Android system and help Android spread further in smart mobile terminal field.
智能移动终端快速增长。目前，Android已成为移动系统市场的领头羊，拥有极其庞大的用户规模。因此，存储在移动设备中的大量敏感数据面临着越来越多的威胁。这些敏感数据不仅包括联系人和短信等个人信息，还包括物联网设备中的一些高级安全信息，甚至包括银行账户和密码。本文设计了基于Android中的SELinux (SEAndroid)的敏感数据保护机制(Sensitive Data Protection mechanism, SDP)，可以显著增强Android系统对静态敏感数据的保护，帮助Android在智能移动终端领域进一步普及。
{"title":"Study on Sensitive Data Protection Based on SEAndroid","authors":"Zijian Li, Jun Yang, Baojiang Cui","doi":"10.1109/WAINA.2018.00135","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00135","url":null,"abstract":"Smart mobile terminals are growing rapidly. Nowadays Android has been the leading role in mobile system market with an extremely large user scale. Consequently, large amounts of sensitive data stored in mobile devices are facing an increasing number of threats. Those sensitive data contains not only personal information like contacts and sms, but also some high-level security information in IoT (Internet of Things) devices, even bank accounts and passwords. In this paper, we designed our Sensitive Data Protection mechanism (SDP) based on SELinux in Android (SEAndroid), which can significantly enhance the protection for the static sensitive data in Android system and help Android spread further in smart mobile terminal field.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131936676","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 : 2018-05-16DOI: 10.1109/WAINA.2018.00104
Shadi Esnaashari, L. Gardner, P. Watters
Increasing educational attainment from a broader and more diverse student population is a policy goal for many governments. Yet increased enrolments brings many challenges for faculty members trying to track and predict academic performance. One possible mechanism for prediction is to use in-class participation data to determine whether participation is linked to academic performance. In this study, we combined in-class and out-of-class (e.g., Learning Management System) data with a range of qualitative and quantitative self-report measures. We then used a range of data mining (DM) algorithms to predict final course outcomes. We found that students who participated more and thought that the tool helped them to learn, engaged and increased their interest in the course more, and eventually achieved the highest scores. This finding supports the view that in-class participation is critical to learning and academic success.
{"title":"Clustering Student Participation: Implications for Education","authors":"Shadi Esnaashari, L. Gardner, P. Watters","doi":"10.1109/WAINA.2018.00104","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00104","url":null,"abstract":"Increasing educational attainment from a broader and more diverse student population is a policy goal for many governments. Yet increased enrolments brings many challenges for faculty members trying to track and predict academic performance. One possible mechanism for prediction is to use in-class participation data to determine whether participation is linked to academic performance. In this study, we combined in-class and out-of-class (e.g., Learning Management System) data with a range of qualitative and quantitative self-report measures. We then used a range of data mining (DM) algorithms to predict final course outcomes. We found that students who participated more and thought that the tool helped them to learn, engaged and increased their interest in the course more, and eventually achieved the highest scores. This finding supports the view that in-class participation is critical to learning and academic success.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121625724","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 : 2018-05-16DOI: 10.1109/WAINA.2018.00174
M. R. Minhas, V. Potdar, Omid Ameri Sianaki
Major construction activity has had a significant effect on the environment, the economy and society in the twenty first century. The gap between the energy required to supply such construction, and the actual energy produced, particularly in the building sector, has put enormous pressure on the selection of sustainable construction materials. Even though the construction industry continues to place this pressure on natural resources, it has also resulted in an increase in the production of waste material, which is being dumped all over the world. In recent years, a lot of work has been undertaken to develop sustainable buildings/housing. The selection of appropriate sustainable building materials is one of the most important processes in the building design and construction process. Immediate efforts are needed to improve the awareness of sustainable materials among decision makers as there is limited technological support to assist technical experts (i.e. engineers, estimators, architects, draftsmen etc.) in the decision-making process when searching for and selecting new sustainable construction materials and practices for different building components (e.g. walls, roof, slab etc.). Moreover, cyber-physical infrastructure and information technologies are essential to support the sustainability of construction projects; this will be discussed further in this paper.
{"title":"A Decision Support System for Selecting Sustainable Materials in Construction Projects","authors":"M. R. Minhas, V. Potdar, Omid Ameri Sianaki","doi":"10.1109/WAINA.2018.00174","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00174","url":null,"abstract":"Major construction activity has had a significant effect on the environment, the economy and society in the twenty first century. The gap between the energy required to supply such construction, and the actual energy produced, particularly in the building sector, has put enormous pressure on the selection of sustainable construction materials. Even though the construction industry continues to place this pressure on natural resources, it has also resulted in an increase in the production of waste material, which is being dumped all over the world. In recent years, a lot of work has been undertaken to develop sustainable buildings/housing. The selection of appropriate sustainable building materials is one of the most important processes in the building design and construction process. Immediate efforts are needed to improve the awareness of sustainable materials among decision makers as there is limited technological support to assist technical experts (i.e. engineers, estimators, architects, draftsmen etc.) in the decision-making process when searching for and selecting new sustainable construction materials and practices for different building components (e.g. walls, roof, slab etc.). Moreover, cyber-physical infrastructure and information technologies are essential to support the sustainability of construction projects; this will be discussed further in this paper.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121652135","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 : 2018-05-16DOI: 10.1109/WAINA.2018.00117
M. Abderrahim, Asma BEN LETAIFA, Amel Haji, S. Tabbane
Knowing the rapid growth of traffic in the mobile network, connected devices and the variety of services and applications run in recent years, the current network architecture no longer supports this increase in traffic. In this sense, we benefit from many technologies such as Software Defined Networking (SDN), Mobile Edge Computing (MEC) and new tools like Machine learning (ML) and artificial intelligence (AI) to propose a new architecture where we add a new intelligent entity that facilitates the management and efficient allocation of network resources. But, the placement of this node can present a problem. In this article, we formulate this problem using the Game Theory. First, we begin by presenting the technologies and tools used in this work. In the second place, we present the architecture model and do a modeling to find the optimal placement of Smart Node in the network. Then we propose a scenario to prove the usefulness of the proposed model.
{"title":"A Game Theory-Based Effective Network Management in SDN Networks","authors":"M. Abderrahim, Asma BEN LETAIFA, Amel Haji, S. Tabbane","doi":"10.1109/WAINA.2018.00117","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00117","url":null,"abstract":"Knowing the rapid growth of traffic in the mobile network, connected devices and the variety of services and applications run in recent years, the current network architecture no longer supports this increase in traffic. In this sense, we benefit from many technologies such as Software Defined Networking (SDN), Mobile Edge Computing (MEC) and new tools like Machine learning (ML) and artificial intelligence (AI) to propose a new architecture where we add a new intelligent entity that facilitates the management and efficient allocation of network resources. But, the placement of this node can present a problem. In this article, we formulate this problem using the Game Theory. First, we begin by presenting the technologies and tools used in this work. In the second place, we present the architecture model and do a modeling to find the optimal placement of Smart Node in the network. Then we propose a scenario to prove the usefulness of the proposed model.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"156 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128748406","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 : 2018-05-16DOI: 10.1109/WAINA.2018.00175
M. Elkhodr, B. Alsinglawi, M. Alshehri
There is a need to create a trusted and secure IoT environment to share information, create knowledge and perform digital transactions. Trustworthy data collection, mining and fusion is vital for the successful widespread acceptance of IoT applications. This requires not only accurate, secure, and precise data collection; but also provisioning of data provenance throughout the whole life-cycle of the IoT device. To this end, this paper introduces a provenance-based trust management solution which helps in establishing a trust relationship among communicating devices in the IoT. This work extends the Internet of Things Management Platform (IoT-MP) by assuring data provenance. Thus complementing the previous IoT-MP capabilities in preserving the privacy of users in the IoT.
{"title":"Data Provenance in the Internet of Things","authors":"M. Elkhodr, B. Alsinglawi, M. Alshehri","doi":"10.1109/WAINA.2018.00175","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00175","url":null,"abstract":"There is a need to create a trusted and secure IoT environment to share information, create knowledge and perform digital transactions. Trustworthy data collection, mining and fusion is vital for the successful widespread acceptance of IoT applications. This requires not only accurate, secure, and precise data collection; but also provisioning of data provenance throughout the whole life-cycle of the IoT device. To this end, this paper introduces a provenance-based trust management solution which helps in establishing a trust relationship among communicating devices in the IoT. This work extends the Internet of Things Management Platform (IoT-MP) by assuring data provenance. Thus complementing the previous IoT-MP capabilities in preserving the privacy of users in the IoT.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129150249","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 : 2018-05-16DOI: 10.1109/WAINA.2018.00063
Syed Muhammad Mohsin, N. Javaid, S. Madani, Syed Kashif Abbas, Syed Muhammad Abrar Akber, Z. Khan
Rapidly increasing population leads to increased electricity demand which ultimately requires Demand Side Management (DSM) to balance the electricity demand and supply in smart grid. Various techniques have been proposed by research community for Home Energy Management (HEM). In this study, we have used Harmony Search Algorithm (HSA) as an optimization technique to achieve four objectives: cost, PAR and waiting time minimization with user comfort maximization. HSA has been implemented in three different scenarios on the basis of varying Operation Time Intervals (OTIs) i.e., 05, 30 and 60 minutes. Simulation results showed that HSA performed much better as compared to un-schedule case and shorter OTI produced better results as compared to longer OTIs.
{"title":"Appliance Scheduling in Smart Homes with Harmony Search Algorithm for Different Operation Time Intervals","authors":"Syed Muhammad Mohsin, N. Javaid, S. Madani, Syed Kashif Abbas, Syed Muhammad Abrar Akber, Z. Khan","doi":"10.1109/WAINA.2018.00063","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00063","url":null,"abstract":"Rapidly increasing population leads to increased electricity demand which ultimately requires Demand Side Management (DSM) to balance the electricity demand and supply in smart grid. Various techniques have been proposed by research community for Home Energy Management (HEM). In this study, we have used Harmony Search Algorithm (HSA) as an optimization technique to achieve four objectives: cost, PAR and waiting time minimization with user comfort maximization. HSA has been implemented in three different scenarios on the basis of varying Operation Time Intervals (OTIs) i.e., 05, 30 and 60 minutes. Simulation results showed that HSA performed much better as compared to un-schedule case and shorter OTI produced better results as compared to longer OTIs.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124093889","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 : 2018-05-16DOI: 10.1109/WAINA.2018.00093
Syed Muhammad Mohsin, N. Javaid, S. Madani, Syed Muhammad Abrar Akber, Sohaib Manzoor, Javed Ahmad
Demand Side Management (DSM) is the strategy applied in smart grid domain for Home Energy Management (HEM) and balancing of electricity demand and supply. Numerous optimization techniques have been proposed by research community for HEM. In this study, we have implemented Elephant Herding Optimization (EHO) technique to achieve four objectives: cost, PAR and waiting time minimization with user comfort maximization. EHO has been implemented with three different Operation Time Intervals (OTIs) i.e., 05, 30 and 60 minutes. Simulation results showed that EHO performed much better than un-schedule case and EHO efficiency for shorter OTI is also better than longer OTIs.
{"title":"Implementing Elephant Herding Optimization Algorithm with different Operation Time Intervals for Appliance Scheduling in Smart Grid","authors":"Syed Muhammad Mohsin, N. Javaid, S. Madani, Syed Muhammad Abrar Akber, Sohaib Manzoor, Javed Ahmad","doi":"10.1109/WAINA.2018.00093","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00093","url":null,"abstract":"Demand Side Management (DSM) is the strategy applied in smart grid domain for Home Energy Management (HEM) and balancing of electricity demand and supply. Numerous optimization techniques have been proposed by research community for HEM. In this study, we have implemented Elephant Herding Optimization (EHO) technique to achieve four objectives: cost, PAR and waiting time minimization with user comfort maximization. EHO has been implemented with three different Operation Time Intervals (OTIs) i.e., 05, 30 and 60 minutes. Simulation results showed that EHO performed much better than un-schedule case and EHO efficiency for shorter OTI is also better than longer OTIs.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125592724","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 : 2018-05-16DOI: 10.1109/WAINA.2018.00123
Amel Haji, Asma BEN LETAIFA, S. Tabbane
This paper discusses deployment of service in a cloud environment. The choice of service is based on the virtual appliances. The problem is how to deploy this kind of service? On which architectures ? and how to make the deployment automatic and autonomous based on rules of elasticity and federation to answer to specific needs of the cloud environment.
{"title":"Elastic Architecture Based NFV and OpenStack to Deploy VA Service","authors":"Amel Haji, Asma BEN LETAIFA, S. Tabbane","doi":"10.1109/WAINA.2018.00123","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00123","url":null,"abstract":"This paper discusses deployment of service in a cloud environment. The choice of service is based on the virtual appliances. The problem is how to deploy this kind of service? On which architectures ? and how to make the deployment automatic and autonomous based on rules of elasticity and federation to answer to specific needs of the cloud environment.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123354523","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 : 2018-05-16DOI: 10.1109/WAINA.2018.00157
S. P. K. Arachchi, Noorkholis Luthfil Hakim, Hui-Huang Hsu, S. Klimenko, T. Shih
Gesture Recognition is a technology that makes devices such as a computer capable of recognizing and responding to different gestures produced by the human body. With the recent growth of 3D virtual world applications, the demand to improve the gesture recognition method, especially hand gesture recognition, has increased. In this paper, we propose a novel vision-based gesture recognition system for controlling the 3D virtual world based on depth images obtained from the 3D camera device. For the proposed system, we used mix spatial space features consisting of 3D and 2D space features. The finger position in the point cloud represents the 3D space feature and the contour of hand from the images as 2D space feature. To investigate the robustness of our system, we designed 9 gestures including 6 static and 3 dynamic varieties. During experiments, we instruct people to display those gestures and calculate the recognition rate. Our results demonstrate that the proposed system was able to recognize the 9 gestures very well with the average accuracy of 95% for static gestures and 81.34% for dynamic ones.
{"title":"Real-Time Static and Dynamic Gesture Recognition Using Mixed Space Features for 3D Virtual World's Interactions","authors":"S. P. K. Arachchi, Noorkholis Luthfil Hakim, Hui-Huang Hsu, S. Klimenko, T. Shih","doi":"10.1109/WAINA.2018.00157","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00157","url":null,"abstract":"Gesture Recognition is a technology that makes devices such as a computer capable of recognizing and responding to different gestures produced by the human body. With the recent growth of 3D virtual world applications, the demand to improve the gesture recognition method, especially hand gesture recognition, has increased. In this paper, we propose a novel vision-based gesture recognition system for controlling the 3D virtual world based on depth images obtained from the 3D camera device. For the proposed system, we used mix spatial space features consisting of 3D and 2D space features. The finger position in the point cloud represents the 3D space feature and the contour of hand from the images as 2D space feature. To investigate the robustness of our system, we designed 9 gestures including 6 static and 3 dynamic varieties. During experiments, we instruct people to display those gestures and calculate the recognition rate. Our results demonstrate that the proposed system was able to recognize the 9 gestures very well with the average accuracy of 95% for static gestures and 81.34% for dynamic ones.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134192376","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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