Pub Date : 2017-03-13DOI: 10.1109/PERCOMW.2017.7917615
Suiming Guo, Yaxiao Liu, Ke Xu, D. Chiu
Emerging ride-on-demand services (e.g., Uber or Uber-like) are vying to penetrate into the market of traditional taxi service, and they are ubiquitous in the nature, by using smart mobile devices like on-car GPS and mobile phone. These ubiquitous services are also beneficial for the environment by increasing the utilization of cars and improving travel efficiency. Through collaboration with a leading service provider in China, we are able to collect vast amount of accurate data and analyze the nature of the demand and dynamic pricing mechanisms that match the supply with demand. We consider the analysis as an important step towards making the ubiquitous service more efficient and beneficial to the sustainability of future smart cities. We collect datasets of passengers' orders and payment information, and focus on the analysis of demand and dynamic pricing. In demand analysis, we discuss its general characteristics, passenger grouping and demand clustering; in dynamic pricing analysis, we discuss the pattern and determination of dynamic pricing multipliers. Our findings pave the way for future study on system optimization, dynamic pricing and policy considerations.
{"title":"Understanding ride-on-demand service: Demand and dynamic pricing","authors":"Suiming Guo, Yaxiao Liu, Ke Xu, D. Chiu","doi":"10.1109/PERCOMW.2017.7917615","DOIUrl":"https://doi.org/10.1109/PERCOMW.2017.7917615","url":null,"abstract":"Emerging ride-on-demand services (e.g., Uber or Uber-like) are vying to penetrate into the market of traditional taxi service, and they are ubiquitous in the nature, by using smart mobile devices like on-car GPS and mobile phone. These ubiquitous services are also beneficial for the environment by increasing the utilization of cars and improving travel efficiency. Through collaboration with a leading service provider in China, we are able to collect vast amount of accurate data and analyze the nature of the demand and dynamic pricing mechanisms that match the supply with demand. We consider the analysis as an important step towards making the ubiquitous service more efficient and beneficial to the sustainability of future smart cities. We collect datasets of passengers' orders and payment information, and focus on the analysis of demand and dynamic pricing. In demand analysis, we discuss its general characteristics, passenger grouping and demand clustering; in dynamic pricing analysis, we discuss the pattern and determination of dynamic pricing multipliers. Our findings pave the way for future study on system optimization, dynamic pricing and policy considerations.","PeriodicalId":319638,"journal":{"name":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123874105","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 : 2017-03-13DOI: 10.1109/PERCOMW.2017.7917626
S. Donovan, Joaquín Chung, Matt Sanders, Russ Clark
Smart and connected communities and their associated edge devices are creating new demands on network services. Edge network connectivity is often not resilient to failures, leading to data loss when network devices are isolated by the failure of a single service provider, while other providers are still functional. We propose MetroSDX, a neutral network design that increases the resiliency of edge networks and global and local services, improves isolation of network functions, and preserves data from edge devices when they are disconnected. MetroSDX is a software-defined exchange, a meet-me point for exchanging computing, storage, and networking resources. This work focuses on MetroSDX's approach to location specific resilience and performance in this multi-network paradigm with an eye towards addressing increased demands from the growing set of connected devices and services which will increasingly and inevitably require communication between and across elements connected to multiple networks.
{"title":"MetroSDX: A resilient edge network for the smart community","authors":"S. Donovan, Joaquín Chung, Matt Sanders, Russ Clark","doi":"10.1109/PERCOMW.2017.7917626","DOIUrl":"https://doi.org/10.1109/PERCOMW.2017.7917626","url":null,"abstract":"Smart and connected communities and their associated edge devices are creating new demands on network services. Edge network connectivity is often not resilient to failures, leading to data loss when network devices are isolated by the failure of a single service provider, while other providers are still functional. We propose MetroSDX, a neutral network design that increases the resiliency of edge networks and global and local services, improves isolation of network functions, and preserves data from edge devices when they are disconnected. MetroSDX is a software-defined exchange, a meet-me point for exchanging computing, storage, and networking resources. This work focuses on MetroSDX's approach to location specific resilience and performance in this multi-network paradigm with an eye towards addressing increased demands from the growing set of connected devices and services which will increasingly and inevitably require communication between and across elements connected to multiple networks.","PeriodicalId":319638,"journal":{"name":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125220291","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 : 2017-03-13DOI: 10.1109/PERCOMW.2017.7917534
Janick Edinger, Dominik Schäfer, Martin Breitbach, C. Becker
This demo paper presents the Tasklet system - a middleware for distributed computing. The Tasklet system allows developers to offload self-contained units of computation - the so-called Tasklets - to a pool of heterogeneous computing devices. In this demonstration of the Tasklet system, we uncover the otherwise transparent process of computation offloading and scheduling. Further, we show the easy integration of heterogeneous computing devices and applications for Tasklets. In the demonstration, we focus on three key aspects of the Tasklet system. First, we present the API of the Tasklet middleware and the process of application tailoring with quality of computation. Second, we integrate computation devices during the runtime of Tasklets. A monitoring tool visualizes how Tasklets are scheduled and how resource providers simultaneously enter and leave the system. To show the easy integration of resources, we invite the audience to spontaneously contribute their computational resources to the environment. Third, we show five example applications from different application domains that benefit from using Tasklets.
{"title":"Developing distributed computing applications with Tasklets","authors":"Janick Edinger, Dominik Schäfer, Martin Breitbach, C. Becker","doi":"10.1109/PERCOMW.2017.7917534","DOIUrl":"https://doi.org/10.1109/PERCOMW.2017.7917534","url":null,"abstract":"This demo paper presents the Tasklet system - a middleware for distributed computing. The Tasklet system allows developers to offload self-contained units of computation - the so-called Tasklets - to a pool of heterogeneous computing devices. In this demonstration of the Tasklet system, we uncover the otherwise transparent process of computation offloading and scheduling. Further, we show the easy integration of heterogeneous computing devices and applications for Tasklets. In the demonstration, we focus on three key aspects of the Tasklet system. First, we present the API of the Tasklet middleware and the process of application tailoring with quality of computation. Second, we integrate computation devices during the runtime of Tasklets. A monitoring tool visualizes how Tasklets are scheduled and how resource providers simultaneously enter and leave the system. To show the easy integration of resources, we invite the audience to spontaneously contribute their computational resources to the environment. Third, we show five example applications from different application domains that benefit from using Tasklets.","PeriodicalId":319638,"journal":{"name":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127629671","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 : 2017-03-13DOI: 10.1109/PERCOMW.2017.7917608
Alan Marchiori
The Internet of Things (IoT) promises to allow everyday objects to connect to the Internet and seamlessly interact with users and other machines. Essential for the IoT to function is a reliable Internet connection. In 2016 the International Telecommunication Union reports 3.9 billion people - 53% of the world's population are not using the Internet [1]. Projects like Loon (X) and Aquila (Facebook) aim to solve this connectivity gap using atmospheric satellites to deliver 4G-like signals to underserved regions. With the recent interest in low-power wide-area networks (LPWAN) in the license-free ISM bands, we consider using atmospheric satellites to improve coverage in LPWAN networks. We find that LPWAN technologies are compatible with atmospheric satellites and demonstrate that significant connectivity gains are possible by locating an LPWAN base station at altitude from 1 km – 28 km when compared to a typical ground-based base station.
{"title":"Maximizing coverage in low-power wide-area IoT networks","authors":"Alan Marchiori","doi":"10.1109/PERCOMW.2017.7917608","DOIUrl":"https://doi.org/10.1109/PERCOMW.2017.7917608","url":null,"abstract":"The Internet of Things (IoT) promises to allow everyday objects to connect to the Internet and seamlessly interact with users and other machines. Essential for the IoT to function is a reliable Internet connection. In 2016 the International Telecommunication Union reports 3.9 billion people - 53% of the world's population are not using the Internet [1]. Projects like Loon (X) and Aquila (Facebook) aim to solve this connectivity gap using atmospheric satellites to deliver 4G-like signals to underserved regions. With the recent interest in low-power wide-area networks (LPWAN) in the license-free ISM bands, we consider using atmospheric satellites to improve coverage in LPWAN networks. We find that LPWAN technologies are compatible with atmospheric satellites and demonstrate that significant connectivity gains are possible by locating an LPWAN base station at altitude from 1 km – 28 km when compared to a typical ground-based base station.","PeriodicalId":319638,"journal":{"name":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129529796","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 : 2017-03-13DOI: 10.1109/PERCOMW.2017.7917610
Huber Flores, Xiang Su, V. Kostakos, A. Ding, P. Nurmi, S. Tarkoma, P. Hui, Yong Li
Large-scale deployments of IoT devices are subject to energy and performance issues. Fortunately, offloading is a promising technique to enhance those aspects. However, several problems still remain open regarding cloud deployment and provisioning. In this paper, we address the problem of provisioning offloading as a service in large-scale IoT deployments. We design and develop an AutoScaler, an essential component for our offloading architecture to handle offloading workload. In addition, we also develop an offloading simulator to generate dynamic offloading workload of multiple devices. With this toolkit, we study the effect of task acceleration in different cloud servers and analyze the capacity of several cloud servers to handle multiple concurrent requests. We conduct multiple experiments in a real testbed to evaluate the system and present our experiences and lessons learned. From the results, we find that the AutoScaler component introduces a very small overhead of ≈150 milliseconds in the total response time of a request, which is a fair price to pay to empower the offloading architectures with multi-tenancy ability and dynamic horizontal scaling for IoT scenarios.
{"title":"Large-scale offloading in the Internet of Things","authors":"Huber Flores, Xiang Su, V. Kostakos, A. Ding, P. Nurmi, S. Tarkoma, P. Hui, Yong Li","doi":"10.1109/PERCOMW.2017.7917610","DOIUrl":"https://doi.org/10.1109/PERCOMW.2017.7917610","url":null,"abstract":"Large-scale deployments of IoT devices are subject to energy and performance issues. Fortunately, offloading is a promising technique to enhance those aspects. However, several problems still remain open regarding cloud deployment and provisioning. In this paper, we address the problem of provisioning offloading as a service in large-scale IoT deployments. We design and develop an AutoScaler, an essential component for our offloading architecture to handle offloading workload. In addition, we also develop an offloading simulator to generate dynamic offloading workload of multiple devices. With this toolkit, we study the effect of task acceleration in different cloud servers and analyze the capacity of several cloud servers to handle multiple concurrent requests. We conduct multiple experiments in a real testbed to evaluate the system and present our experiences and lessons learned. From the results, we find that the AutoScaler component introduces a very small overhead of ≈150 milliseconds in the total response time of a request, which is a fair price to pay to empower the offloading architectures with multi-tenancy ability and dynamic horizontal scaling for IoT scenarios.","PeriodicalId":319638,"journal":{"name":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122566787","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 : 2017-03-13DOI: 10.1109/PERCOMW.2017.7917508
Yu Xiao, Chao Zhu
The emerging vehicular applications demand for a lot more computing and communication capacity to excel in their compute-intensive and latency-sensitive tasks. Fog computing, which focuses on moving computing resources to the edge of networks, complements cloud computing by solving the latency constraints and reducing ingress traffic to the cloud. This paper presents a visionary concept on vehicular fog computing that turns connected vehicles into mobile fog nodes and utilises mobility of vehicles for providing cost-effective and on-demand fog computing for vehicular applications. Besides system design, this paper also discusses the remained technical challenges.
{"title":"Vehicular fog computing: Vision and challenges","authors":"Yu Xiao, Chao Zhu","doi":"10.1109/PERCOMW.2017.7917508","DOIUrl":"https://doi.org/10.1109/PERCOMW.2017.7917508","url":null,"abstract":"The emerging vehicular applications demand for a lot more computing and communication capacity to excel in their compute-intensive and latency-sensitive tasks. Fog computing, which focuses on moving computing resources to the edge of networks, complements cloud computing by solving the latency constraints and reducing ingress traffic to the cloud. This paper presents a visionary concept on vehicular fog computing that turns connected vehicles into mobile fog nodes and utilises mobility of vehicles for providing cost-effective and on-demand fog computing for vehicular applications. Besides system design, this paper also discusses the remained technical challenges.","PeriodicalId":319638,"journal":{"name":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115297435","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 : 2017-03-13DOI: 10.1109/PERCOMW.2017.7917516
M. Raja, S. Sigg
We present RFexpress! the first-ever system to recognize emotion from body movements and gestures via Device-Free Activity Recognition (DFAR). We focus on the distinction between neutral and agitated states in realistic environments. In particular, the system is able to detect risky driving behaviour in a vehicular setting as well as spotting angry conversations in an indoor environment. In case studies with 8 and 5 subjects the system could achieve recognition accuracies of 82.9% and 64%. We study the effectiveness of DFAR emotion and activity recognition systems in real environments such as cafes, malls, outdoor and office spaces. We measure radio characteristics in these environments at different days and times and analyse the impact of variations in the Signal to Noise Ratio (SNR) on the accuracy of DFAR emotion and activity recognition. In a case study with 5 subjects, we then find critical SNR values under which activity and emotion recognition results are no longer reliable.
{"title":"RFexpress! - RF emotion recognition in the wild","authors":"M. Raja, S. Sigg","doi":"10.1109/PERCOMW.2017.7917516","DOIUrl":"https://doi.org/10.1109/PERCOMW.2017.7917516","url":null,"abstract":"We present RFexpress! the first-ever system to recognize emotion from body movements and gestures via Device-Free Activity Recognition (DFAR). We focus on the distinction between neutral and agitated states in realistic environments. In particular, the system is able to detect risky driving behaviour in a vehicular setting as well as spotting angry conversations in an indoor environment. In case studies with 8 and 5 subjects the system could achieve recognition accuracies of 82.9% and 64%. We study the effectiveness of DFAR emotion and activity recognition systems in real environments such as cafes, malls, outdoor and office spaces. We measure radio characteristics in these environments at different days and times and analyse the impact of variations in the Signal to Noise Ratio (SNR) on the accuracy of DFAR emotion and activity recognition. In a case study with 5 subjects, we then find critical SNR values under which activity and emotion recognition results are no longer reliable.","PeriodicalId":319638,"journal":{"name":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115841753","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 : 2017-03-13DOI: 10.1109/PERCOMW.2017.7917618
Bo Zhou, Monit Shah Singh, Sugandha Doda, Muhammet Yildirim, Jingyuan Cheng, P. Lukowicz
In this paper, we present an approach for person identification using morphing footsteps measured from a fabric-based pressure mapping sensor system. The flexible fabric sensor is 0.5 mm thin and operates under a 5 mm thick normal carpet; therefore, it can be easily implemented into modern smart living spaces. We extract features concerning single steps with the shifting of gravity center, maximum pressure point and overall pressed area, which are independent from shape details and inter-step relationships of the walking sequences. The system is evaluated with 13 participants wearing shoes and walking normally across the carpet. Overall 529 footsteps are recorded, and the resulting average identification accuracy is 76.9%. Our approach can also be used for further activity recognition with the same physical carpet sensors.
{"title":"The carpet knows: Identifying people in a smart environment from a single step","authors":"Bo Zhou, Monit Shah Singh, Sugandha Doda, Muhammet Yildirim, Jingyuan Cheng, P. Lukowicz","doi":"10.1109/PERCOMW.2017.7917618","DOIUrl":"https://doi.org/10.1109/PERCOMW.2017.7917618","url":null,"abstract":"In this paper, we present an approach for person identification using morphing footsteps measured from a fabric-based pressure mapping sensor system. The flexible fabric sensor is 0.5 mm thin and operates under a 5 mm thick normal carpet; therefore, it can be easily implemented into modern smart living spaces. We extract features concerning single steps with the shifting of gravity center, maximum pressure point and overall pressed area, which are independent from shape details and inter-step relationships of the walking sequences. The system is evaluated with 13 participants wearing shoes and walking normally across the carpet. Overall 529 footsteps are recorded, and the resulting average identification accuracy is 76.9%. Our approach can also be used for further activity recognition with the same physical carpet sensors.","PeriodicalId":319638,"journal":{"name":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"300 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115999656","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 : 2017-03-13DOI: 10.1109/PERCOMW.2017.7917639
Hua Ma, Yansong Gao, O. Kavehei, D. Ranasinghe
Sensors are important components in the Internet of Things (IoT) that encompass a wide spectrum of applications from healthcare to monitoring critical infrastructure. Securely gathering sensor measurements by adopting traditional cryptographic mechanisms is fraught with vulnerabilities emanating from the inability to safeguard secrets on edge devices, often in adversarial environments, where appropriate hardware protection logic and power consumption overheads are counterproductive to the desire to keep the devices low cost and long lasting. This paper continues recent efforts into investigating an alternative secure sensing approach with the potential to provide a solution for resource-restricted IoT devices. In particular, we investigate the possibility to exploit unreliability of a physical unclonable function (PUF) resulting from its sensitivity to variations in supply voltage conditions to guarantee the veracity of physical measurements from potentially any transducer capable of converting a physical phenomenon to a voltage signal. Therefore we present an approach that has the potential to realize a universal PUF sensor where the PUF itself acts as a sensor or is integrated with a sensor. Thus, for a PUF sensor, cryptographic processes and sensing are inseparable. Further, we rely on a dominant external condition—voltage—responsible for unreliability to secure sensing. We validate the feasibility of the proposed universal PUF sensor approach based on experimental data extracted from RO-PUFs (Ring Oscillator PUFs).
{"title":"A PUF sensor: Securing physical measurements","authors":"Hua Ma, Yansong Gao, O. Kavehei, D. Ranasinghe","doi":"10.1109/PERCOMW.2017.7917639","DOIUrl":"https://doi.org/10.1109/PERCOMW.2017.7917639","url":null,"abstract":"Sensors are important components in the Internet of Things (IoT) that encompass a wide spectrum of applications from healthcare to monitoring critical infrastructure. Securely gathering sensor measurements by adopting traditional cryptographic mechanisms is fraught with vulnerabilities emanating from the inability to safeguard secrets on edge devices, often in adversarial environments, where appropriate hardware protection logic and power consumption overheads are counterproductive to the desire to keep the devices low cost and long lasting. This paper continues recent efforts into investigating an alternative secure sensing approach with the potential to provide a solution for resource-restricted IoT devices. In particular, we investigate the possibility to exploit unreliability of a physical unclonable function (PUF) resulting from its sensitivity to variations in supply voltage conditions to guarantee the veracity of physical measurements from potentially any transducer capable of converting a physical phenomenon to a voltage signal. Therefore we present an approach that has the potential to realize a universal PUF sensor where the PUF itself acts as a sensor or is integrated with a sensor. Thus, for a PUF sensor, cryptographic processes and sensing are inseparable. Further, we rely on a dominant external condition—voltage—responsible for unreliability to secure sensing. We validate the feasibility of the proposed universal PUF sensor approach based on experimental data extracted from RO-PUFs (Ring Oscillator PUFs).","PeriodicalId":319638,"journal":{"name":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123703770","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 : 2017-03-13DOI: 10.1109/PERCOMW.2017.7917605
A. J. Majumder, Yosuf ElSaadany, M. ElSaadany, D. Ucci, F. Rahman
Gait monitoring through the Internet of Things (IoT) is able to provide an overall assessment of daily living. All existing systems for predicting abnormality in gait mainly consider the gait related parameters. Their accuracy is limited because consequences due to injuries are significantly affected by different events in the gait. The objective of this study is to present a multisensory system that investigates walking patterns to predict a cautious gait in stroke patient. For this study, a smartphone built-in sensor and an IoT-shoe with a Wi-Fi communication module is used to discreetly monitor insole pressure and accelerations of the patient's motion. To the best of our knowledge, we are the first to use the gait spatiotemporal parameters implemented in smartphones to predict a cautious gait in a stroke patient. The proposed system can warn the user about their abnormal gait and possibly save them from forthcoming injuries from fear of falling.
{"title":"A wireless IoT system towards gait detection in stroke patients","authors":"A. J. Majumder, Yosuf ElSaadany, M. ElSaadany, D. Ucci, F. Rahman","doi":"10.1109/PERCOMW.2017.7917605","DOIUrl":"https://doi.org/10.1109/PERCOMW.2017.7917605","url":null,"abstract":"Gait monitoring through the Internet of Things (IoT) is able to provide an overall assessment of daily living. All existing systems for predicting abnormality in gait mainly consider the gait related parameters. Their accuracy is limited because consequences due to injuries are significantly affected by different events in the gait. The objective of this study is to present a multisensory system that investigates walking patterns to predict a cautious gait in stroke patient. For this study, a smartphone built-in sensor and an IoT-shoe with a Wi-Fi communication module is used to discreetly monitor insole pressure and accelerations of the patient's motion. To the best of our knowledge, we are the first to use the gait spatiotemporal parameters implemented in smartphones to predict a cautious gait in a stroke patient. The proposed system can warn the user about their abnormal gait and possibly save them from forthcoming injuries from fear of falling.","PeriodicalId":319638,"journal":{"name":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126737345","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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