Pub Date : 2017-09-01DOI: 10.1109/IWMN.2017.8078385
L. Angrisani, P. Arpaia, Daniele Gatti
Scientific proposals of indoor positioning and range measurement are reviewed, with a discussion of their advantages and disadvantages. The considered technologies are: Radio Frequency, Ultrasonic, Camera-based solution, and Infrared. The typical constraints in indoor environments are high accuracy, low latency, low dimensions, and low energy dissipation.
{"title":"Analysis of localization technologies for indoor environment","authors":"L. Angrisani, P. Arpaia, Daniele Gatti","doi":"10.1109/IWMN.2017.8078385","DOIUrl":"https://doi.org/10.1109/IWMN.2017.8078385","url":null,"abstract":"Scientific proposals of indoor positioning and range measurement are reviewed, with a discussion of their advantages and disadvantages. The considered technologies are: Radio Frequency, Ultrasonic, Camera-based solution, and Infrared. The typical constraints in indoor environments are high accuracy, low latency, low dimensions, and low energy dissipation.","PeriodicalId":201479,"journal":{"name":"2017 IEEE International Workshop on Measurement and Networking (M&N)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121832620","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 : 2017-09-01DOI: 10.1109/IWMN.2017.8078365
Hoan Le, Federico Fallace, P. Barlet-Ros
Web tracking is currently recognized as one of the most important privacy threats on the Internet. Over the last years, many methodologies have been developed to uncover web trackers. Most of them are based on static code analysis and the use of predefined blacklists. However, our main hypothesis is that web tracking has started to use obfuscated programming, a transformation of code that renders previous detection methodologies ineffective and easy to evade. In this paper, we propose a new methodology based on dynamic code analysis that monitors the actual JavaScript calls made by the browser and compares them to the original source code of the website in order to detect obfuscated tracking. The main advantage of this approach is that detection cannot be evaded by code obfuscation. We applied this methodology to detect the use of canvas-font tracking and canvas fingerprinting on the top-10K most visited websites according to Alexa's ranking. Canvas-based tracking is a fingerprinting method based on JavaScript that uses the HTML5 canvas element to uniquely identify a user. Our results show that 10.44% of the top-10K websites use canvas-based tracking (canvas-font and canvas fingerprinting), while obfuscation was used in 2.25% of them. These results confirm our initial hypothesis that obfuscated programming in web tracking is already in use. Finally, we argue that canvas-based tracking can be more present in secondary pages than in the home page of websites.
{"title":"Towards accurate detection of obfuscated web tracking","authors":"Hoan Le, Federico Fallace, P. Barlet-Ros","doi":"10.1109/IWMN.2017.8078365","DOIUrl":"https://doi.org/10.1109/IWMN.2017.8078365","url":null,"abstract":"Web tracking is currently recognized as one of the most important privacy threats on the Internet. Over the last years, many methodologies have been developed to uncover web trackers. Most of them are based on static code analysis and the use of predefined blacklists. However, our main hypothesis is that web tracking has started to use obfuscated programming, a transformation of code that renders previous detection methodologies ineffective and easy to evade. In this paper, we propose a new methodology based on dynamic code analysis that monitors the actual JavaScript calls made by the browser and compares them to the original source code of the website in order to detect obfuscated tracking. The main advantage of this approach is that detection cannot be evaded by code obfuscation. We applied this methodology to detect the use of canvas-font tracking and canvas fingerprinting on the top-10K most visited websites according to Alexa's ranking. Canvas-based tracking is a fingerprinting method based on JavaScript that uses the HTML5 canvas element to uniquely identify a user. Our results show that 10.44% of the top-10K websites use canvas-based tracking (canvas-font and canvas fingerprinting), while obfuscation was used in 2.25% of them. These results confirm our initial hypothesis that obfuscated programming in web tracking is already in use. Finally, we argue that canvas-based tracking can be more present in secondary pages than in the home page of websites.","PeriodicalId":201479,"journal":{"name":"2017 IEEE International Workshop on Measurement and Networking (M&N)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115067991","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 : 2017-09-01DOI: 10.1109/IWMN.2017.8078362
G. D'Addio, A. Smarra, A. Biancardi, M. Cesarelli, P. Arpaia
An automatic system for health data management and service report generation from Android OS smartphones was designed and implemented. QR Code is used as an identifier and a tracking tool for patients involved in rehabilitation treatments. The system was implemented both in a rehabilitation gymnasium and in a hospital ward. The experimental results highlight clearly an efficiency improvement in health system procedures, the prevention of data transcription mistakes, and working time saving for healthcare professionals.
{"title":"Quick-response coding system for tracking rehabilitation treatments in clinical setting","authors":"G. D'Addio, A. Smarra, A. Biancardi, M. Cesarelli, P. Arpaia","doi":"10.1109/IWMN.2017.8078362","DOIUrl":"https://doi.org/10.1109/IWMN.2017.8078362","url":null,"abstract":"An automatic system for health data management and service report generation from Android OS smartphones was designed and implemented. QR Code is used as an identifier and a tracking tool for patients involved in rehabilitation treatments. The system was implemented both in a rehabilitation gymnasium and in a hospital ward. The experimental results highlight clearly an efficiency improvement in health system procedures, the prevention of data transcription mistakes, and working time saving for healthcare professionals.","PeriodicalId":201479,"journal":{"name":"2017 IEEE International Workshop on Measurement and Networking (M&N)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129612534","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 : 2017-09-01DOI: 10.1109/IWMN.2017.8078367
M. Migliore, L. L. Coq, B. Fuchs
The aim of this contribution is to discuss an environmental filtering technique in array diagnosis. The basic idea is to distinguish the array contribution from the interference field using sparsity as discriminant by means of differential measurement technique. Basically, the field associated to the fault elements is separated by the field radiated by interference source using a mixed minimum ℓ1 norm and trace norm minimization. Numerical examples show the potential of the technique.
{"title":"An investigation on an interference filtering technique for array diagnosis using sparsity","authors":"M. Migliore, L. L. Coq, B. Fuchs","doi":"10.1109/IWMN.2017.8078367","DOIUrl":"https://doi.org/10.1109/IWMN.2017.8078367","url":null,"abstract":"The aim of this contribution is to discuss an environmental filtering technique in array diagnosis. The basic idea is to distinguish the array contribution from the interference field using sparsity as discriminant by means of differential measurement technique. Basically, the field associated to the fault elements is separated by the field radiated by interference source using a mixed minimum ℓ1 norm and trace norm minimization. Numerical examples show the potential of the technique.","PeriodicalId":201479,"journal":{"name":"2017 IEEE International Workshop on Measurement and Networking (M&N)","volume":"12 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114029205","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 : 2017-09-01DOI: 10.1109/IWMN.2017.8078375
R. Iervolino, F. Bonavolontã, A. Cavallari
In this paper the use of a wearable device is considered in order to evaluate the performance of an athlete during her/his sport activities. The preliminary step consists of recording the motion variables at a sufficiently high sampling rate throughout the experimental campaign. The collected data are then elaborated by a PC-based application to identify the system dynamics and derive some synthetic performance indicators, by taking into account also the experience of the sport professionals. The extraction of the indicators is based on basic signal processing that can be implemented in algorithms run directly on the microcontroller unit (MCU) of the device. The key indicators values can be sent to other electronic devices by using one of the available wireless network connections at a reduced transmission rate. Some experimental data are also reported to illustrate the effectiveness of the approach.
{"title":"A wearable device for sport performance analysis and monitoring","authors":"R. Iervolino, F. Bonavolontã, A. Cavallari","doi":"10.1109/IWMN.2017.8078375","DOIUrl":"https://doi.org/10.1109/IWMN.2017.8078375","url":null,"abstract":"In this paper the use of a wearable device is considered in order to evaluate the performance of an athlete during her/his sport activities. The preliminary step consists of recording the motion variables at a sufficiently high sampling rate throughout the experimental campaign. The collected data are then elaborated by a PC-based application to identify the system dynamics and derive some synthetic performance indicators, by taking into account also the experience of the sport professionals. The extraction of the indicators is based on basic signal processing that can be implemented in algorithms run directly on the microcontroller unit (MCU) of the device. The key indicators values can be sent to other electronic devices by using one of the available wireless network connections at a reduced transmission rate. Some experimental data are also reported to illustrate the effectiveness of the approach.","PeriodicalId":201479,"journal":{"name":"2017 IEEE International Workshop on Measurement and Networking (M&N)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124164802","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 : 2017-09-01DOI: 10.1109/IWMN.2017.8078372
S. D. Vito, F. Formisano, A. Agresto, E. Esposito, E. Massera, M. Salvato, G. Fattoruso, G. Francia, S. Fiore
This work aims to present the results of the first phase of crowdfunding campaign devised to involve general public in the development of a portable device for air quality monitoring and the associated infrastructure. A portable device based on an array of electrochemical sensors has been developed and calibrated in lab in order to build detailed maps of personal exposure to air pollutants with the help of an Android App and a sensor NOSQL based backend. Two associated calibration procedures are depicted, one based on in-lab recordings while the second, based on the emerging on field calibration paradigm, will refine the performance of the node. Preliminary tests shows that the project is now ready for its second step in which a small fleet of devices will be shipped to the crowdfunding supporters.
{"title":"A crowdfunded personal air quality monitor infrastructure for active life applications","authors":"S. D. Vito, F. Formisano, A. Agresto, E. Esposito, E. Massera, M. Salvato, G. Fattoruso, G. Francia, S. Fiore","doi":"10.1109/IWMN.2017.8078372","DOIUrl":"https://doi.org/10.1109/IWMN.2017.8078372","url":null,"abstract":"This work aims to present the results of the first phase of crowdfunding campaign devised to involve general public in the development of a portable device for air quality monitoring and the associated infrastructure. A portable device based on an array of electrochemical sensors has been developed and calibrated in lab in order to build detailed maps of personal exposure to air pollutants with the help of an Android App and a sensor NOSQL based backend. Two associated calibration procedures are depicted, one based on in-lab recordings while the second, based on the emerging on field calibration paradigm, will refine the performance of the node. Preliminary tests shows that the project is now ready for its second step in which a small fleet of devices will be shipped to the crowdfunding supporters.","PeriodicalId":201479,"journal":{"name":"2017 IEEE International Workshop on Measurement and Networking (M&N)","volume":"20 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113938801","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 : 2017-09-01DOI: 10.1109/IWMN.2017.8078408
A. Espírito-Santo, P. Serra, S. Albuquerque, B. Ribeiro, F. Santos, J. Páscoa
The water energy nexus is a multidisciplinary topic that requires the interaction of different areas of knowledge, with direct impact on the economy, society and ecosystems. Smart sensing concept allows us to develop new ways of monitoring and, consequently, contribute to simultaneously optimize the efficiency of energy and water processes. The integration of energy and water management systems requires the coverage of a wide geographic area. Therefore, the interconnection of smart sensors, over a wireless network, is a requirement that can be assured with the adoption of standards such as the ISO/IEC/IEEE21451. Smart sensors operation and effectiveness depends on the availability of energy. Harvesting energy in water systems allows to power smart sensors avoiding batteries. Microbial fuel cells allow the conversion of organic material found in wastewater into electrical energy. Also, the kinetic energy of induced vibrations in water distribution pipelines can be converted into electrical energy.
{"title":"Low-power smart sensing in energy and water systems integration","authors":"A. Espírito-Santo, P. Serra, S. Albuquerque, B. Ribeiro, F. Santos, J. Páscoa","doi":"10.1109/IWMN.2017.8078408","DOIUrl":"https://doi.org/10.1109/IWMN.2017.8078408","url":null,"abstract":"The water energy nexus is a multidisciplinary topic that requires the interaction of different areas of knowledge, with direct impact on the economy, society and ecosystems. Smart sensing concept allows us to develop new ways of monitoring and, consequently, contribute to simultaneously optimize the efficiency of energy and water processes. The integration of energy and water management systems requires the coverage of a wide geographic area. Therefore, the interconnection of smart sensors, over a wireless network, is a requirement that can be assured with the adoption of standards such as the ISO/IEC/IEEE21451. Smart sensors operation and effectiveness depends on the availability of energy. Harvesting energy in water systems allows to power smart sensors avoiding batteries. Microbial fuel cells allow the conversion of organic material found in wastewater into electrical energy. Also, the kinetic energy of induced vibrations in water distribution pipelines can be converted into electrical energy.","PeriodicalId":201479,"journal":{"name":"2017 IEEE International Workshop on Measurement and Networking (M&N)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132328947","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 : 2017-09-01DOI: 10.1109/IWMN.2017.8078364
M. A. Canbaz, Khalid Bakhshaliyev, M. H. Gunes
Interactive and multimedia applications depend on the stability of end-to-end paths on the Internet for predictable performance and good quality of service. On the other hand, network providers depend on multiple paths to ensure fault tolerance and use load balancing between these paths to enhance the overall network throughput. In this study, we analyze the path dynamics within service providers' networks using a month of measurement data from the RIPE Atlas platform which collects path traces between a source and a destination pair approximately every 15 minutes. Determining path segments belonging to each Autonomous System (AS), we explore ingress to egress paths of an AS in addition to source to destination paths within the AS. We observe that 13.2% of ASes contain routing loops within their network indicating mis-configuration of routers. Couple of ASes had over a million loops with over 100 routers causing loops in path traces. Additionally, 77.6% of end-to-end routes have at least two alternative AS paths with some end-to-end routes going through hundreds of different AS paths. Analyzing trace segments between ingresses and egresses of an AS, we realized more than a third of the backbone ASes have consistent routing between any node pair, but others implement load balancing or have inconsistent routing policies across their network.
{"title":"Analysis of path stability within autonomous systems","authors":"M. A. Canbaz, Khalid Bakhshaliyev, M. H. Gunes","doi":"10.1109/IWMN.2017.8078364","DOIUrl":"https://doi.org/10.1109/IWMN.2017.8078364","url":null,"abstract":"Interactive and multimedia applications depend on the stability of end-to-end paths on the Internet for predictable performance and good quality of service. On the other hand, network providers depend on multiple paths to ensure fault tolerance and use load balancing between these paths to enhance the overall network throughput. In this study, we analyze the path dynamics within service providers' networks using a month of measurement data from the RIPE Atlas platform which collects path traces between a source and a destination pair approximately every 15 minutes. Determining path segments belonging to each Autonomous System (AS), we explore ingress to egress paths of an AS in addition to source to destination paths within the AS. We observe that 13.2% of ASes contain routing loops within their network indicating mis-configuration of routers. Couple of ASes had over a million loops with over 100 routers causing loops in path traces. Additionally, 77.6% of end-to-end routes have at least two alternative AS paths with some end-to-end routes going through hundreds of different AS paths. Analyzing trace segments between ingresses and egresses of an AS, we realized more than a third of the backbone ASes have consistent routing between any node pair, but others implement load balancing or have inconsistent routing policies across their network.","PeriodicalId":201479,"journal":{"name":"2017 IEEE International Workshop on Measurement and Networking (M&N)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131884822","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 : 2017-09-01DOI: 10.1109/IWMN.2017.8078388
L. Angrisani, P. Arpaia, F. Bonavolontà, A. Liccardo, R. S. L. Moriello
The paper deals with the definition, implementation and performance assessment of an Internet of things (IoT) platform for measuring and monitoring power consumption in smart home or smart industry applications. Thanks to the adoption of suitable cost-effective hardware components and a proper software architecture implemented on Raspberry PI, the IoT platform can assure real-time power monitoring on electrical loads connected to domestic and industrial power plugs. Particular attention has been paid to the selection of the application layer protocol mandated to exchange data between the power measuring nodes and the Raspberry PI in order to assure reliable communication with a reduced computational and connection overhead. The availability of the measurement results on a web page that does not require any specific software but a web browser highlights the efficacy of the adopted platform to assure aware in power consumption for domestic and industrial customers.
{"title":"First step towards a cost-effective lot platform for customers power consumption awareness","authors":"L. Angrisani, P. Arpaia, F. Bonavolontà, A. Liccardo, R. S. L. Moriello","doi":"10.1109/IWMN.2017.8078388","DOIUrl":"https://doi.org/10.1109/IWMN.2017.8078388","url":null,"abstract":"The paper deals with the definition, implementation and performance assessment of an Internet of things (IoT) platform for measuring and monitoring power consumption in smart home or smart industry applications. Thanks to the adoption of suitable cost-effective hardware components and a proper software architecture implemented on Raspberry PI, the IoT platform can assure real-time power monitoring on electrical loads connected to domestic and industrial power plugs. Particular attention has been paid to the selection of the application layer protocol mandated to exchange data between the power measuring nodes and the Raspberry PI in order to assure reliable communication with a reduced computational and connection overhead. The availability of the measurement results on a web page that does not require any specific software but a web browser highlights the efficacy of the adopted platform to assure aware in power consumption for domestic and industrial customers.","PeriodicalId":201479,"journal":{"name":"2017 IEEE International Workshop on Measurement and Networking (M&N)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115705068","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 : 2017-09-01DOI: 10.1109/IWMN.2017.8078368
Alberto Testoni, M. D. Felice
In these last few years, several recent studies have demonstrated the possibility to perform Human Activity Recognition (HAR) by smartphone sensor data, enabling in this way a new generation of context-aware mobile applications. Smartphone-based HAR systems can exploit the full set of embedded sensors beside the accelerometer in order to increase the accuracy of the detection process. At the same time, the practical deployment of such systems can result highly challenging since it must cope with the limited computational resources and the battery constraints of the mobile devices. In this paper, we address such issues by proposing a novel, generic HAR architecture for Android devices. The system design takes into account the energy constraints by: (i) limiting the number of sensors/features used for the recognition process, while still guaranteeing satisfactory performance in terms of activity detection; (ii) allocating the most CPU intensive tasks, like the training and data processing phases, on an external server. At the same time, the system operations automatize the full learning process, simply notifying the user when a new classification model has been installed on the client. We validate the proposed HAR systems on two use-cases, i.e. transportation mode detection and walking mode detection, and we describe an application for indoor floor detection. Measurements show that the overall accuracy of the activity recognition process can be up to 90% for both the use-cases.
{"title":"A software architecture for generic human activity recognition from smartphone sensor data","authors":"Alberto Testoni, M. D. Felice","doi":"10.1109/IWMN.2017.8078368","DOIUrl":"https://doi.org/10.1109/IWMN.2017.8078368","url":null,"abstract":"In these last few years, several recent studies have demonstrated the possibility to perform Human Activity Recognition (HAR) by smartphone sensor data, enabling in this way a new generation of context-aware mobile applications. Smartphone-based HAR systems can exploit the full set of embedded sensors beside the accelerometer in order to increase the accuracy of the detection process. At the same time, the practical deployment of such systems can result highly challenging since it must cope with the limited computational resources and the battery constraints of the mobile devices. In this paper, we address such issues by proposing a novel, generic HAR architecture for Android devices. The system design takes into account the energy constraints by: (i) limiting the number of sensors/features used for the recognition process, while still guaranteeing satisfactory performance in terms of activity detection; (ii) allocating the most CPU intensive tasks, like the training and data processing phases, on an external server. At the same time, the system operations automatize the full learning process, simply notifying the user when a new classification model has been installed on the client. We validate the proposed HAR systems on two use-cases, i.e. transportation mode detection and walking mode detection, and we describe an application for indoor floor detection. Measurements show that the overall accuracy of the activity recognition process can be up to 90% for both the use-cases.","PeriodicalId":201479,"journal":{"name":"2017 IEEE International Workshop on Measurement and Networking (M&N)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126556980","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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