In this work, we present an approach to extract social relationship of mobile users by passively monitoring WiFi probe requests. By analyzing the correlations of the Receive Signal Strength of packets from these low rate transmissions, we are able to discover proximity relationships and social interactions among users. We evaluate the system using commodity off-the-shelf smartphones and WiFi Access Points in a research lab. The result shows that the proposed approach is able to obtain reliable social relationships and interactions in a non-intrusive way.
{"title":"Poster: Understanding Social Relationship Using Passive WiFi Scanning","authors":"H. Hong, Chengwen Luo, M. Chan","doi":"10.1145/2938559.2948777","DOIUrl":"https://doi.org/10.1145/2938559.2948777","url":null,"abstract":"In this work, we present an approach to extract social relationship of mobile users by passively monitoring WiFi probe requests. By analyzing the correlations of the Receive Signal Strength of packets from these low rate transmissions, we are able to discover proximity relationships and social interactions among users. We evaluate the system using commodity off-the-shelf smartphones and WiFi Access Points in a research lab. The result shows that the proposed approach is able to obtain reliable social relationships and interactions in a non-intrusive way.","PeriodicalId":298684,"journal":{"name":"MobiSys '16 Companion","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116599664","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}
We present ForcePhone, a novel system of enabling commodity phones to recognize the force applied to their touch screen and body. Researchers have shown the usefulness and importance of this expressive input interface (especially for the one-hand operation), but this advanced function has not yet been realized and deployed in most state-of-the-art smartphones. Instead of augmenting specialized/proprietary sensors, ForcePhone uses only the phone's built-in sensors to measure the applied force via a physical property called structure-borne sound propagation. ForcePhone has been implemented and evaluated on both iOS and Android phones. Multiple demo applications based on ForcePhone have been implemented and tested. The estimated force is shown highly correlated to the real applied force and the estimation error is low enough to support various applications. Most participants in our usability study were able to master the ForcePhone-based apps and find them very useful.
{"title":"Demo: Augmenting Force-Sensing Interface to Mobile Devices with Sound","authors":"Yu-Chih Tung, K. Shin","doi":"10.1145/2938559.2938562","DOIUrl":"https://doi.org/10.1145/2938559.2938562","url":null,"abstract":"We present ForcePhone, a novel system of enabling commodity phones to recognize the force applied to their touch screen and body. Researchers have shown the usefulness and importance of this expressive input interface (especially for the one-hand operation), but this advanced function has not yet been realized and deployed in most state-of-the-art smartphones. Instead of augmenting specialized/proprietary sensors, ForcePhone uses only the phone's built-in sensors to measure the applied force via a physical property called structure-borne sound propagation. ForcePhone has been implemented and evaluated on both iOS and Android phones. Multiple demo applications based on ForcePhone have been implemented and tested. The estimated force is shown highly correlated to the real applied force and the estimation error is low enough to support various applications. Most participants in our usability study were able to master the ForcePhone-based apps and find them very useful.","PeriodicalId":298684,"journal":{"name":"MobiSys '16 Companion","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122077422","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}
Radio Frequency IDentification (RFID) localization systems are becoming increasingly coupled with various applications. Particularly, reference-tag assistant method with high-accuracy has become a mainstream. However, the main drawback of such systems requires to deploy a large number of reference tags, even including state-of-art work PinIt [1]. As a result, there exists serious tag collision, decreasing the identification throughput of reader, and massive reference tags in a large scale will aggravate this problem [2]. Further, most current methods have an underlying assumption that the signal is mainly propagating along the line-ofsight path, which is not true in most setups. In practice, the signals received by the antennas are the combination of various reflected signals. What’s more, despite the price of one tag is inexpensive (13 cents), to deploy large number of reference tags costs too expensive. For example, more than 50 universities in China have at least 3 million books in the libraries, and if we deploy the reference tags with distance of 15cm [1], the deployment cost will reach up to $0.78M. To deal with these problems, we introduces HALL which achieves both the high-accuracy and cost-efficiency in largescale environment. On one hand, by reducing the number of reference tags, the tag collision and deployment cost can be significantly reduced. On the other hand, we use the multipath profile to capture the multipath of signals [1], thus HALL is applicable in the non-line-of-sight environment. Thirdly, benefiting from the CS theory in sparse recovery, HALL acquires a high localization accuracy with measurements collected from only a few of reference tags. The key insight utilizing CS theory depends on the sparse property of the localization, i.e., the number of target tags to be located is much smaller than the number of locations.
{"title":"Poster: HALL: High-accuracy and Low-cost RFID Localization in Large-scale environment","authors":"Liqiong Chang, Xiaojiang Chen, Haining Meng, Dingyi Fang","doi":"10.1145/2938559.2948817","DOIUrl":"https://doi.org/10.1145/2938559.2948817","url":null,"abstract":"Radio Frequency IDentification (RFID) localization systems are becoming increasingly coupled with various applications. Particularly, reference-tag assistant method with high-accuracy has become a mainstream. However, the main drawback of such systems requires to deploy a large number of reference tags, even including state-of-art work PinIt [1]. As a result, there exists serious tag collision, decreasing the identification throughput of reader, and massive reference tags in a large scale will aggravate this problem [2]. Further, most current methods have an underlying assumption that the signal is mainly propagating along the line-ofsight path, which is not true in most setups. In practice, the signals received by the antennas are the combination of various reflected signals. What’s more, despite the price of one tag is inexpensive (13 cents), to deploy large number of reference tags costs too expensive. For example, more than 50 universities in China have at least 3 million books in the libraries, and if we deploy the reference tags with distance of 15cm [1], the deployment cost will reach up to $0.78M. To deal with these problems, we introduces HALL which achieves both the high-accuracy and cost-efficiency in largescale environment. On one hand, by reducing the number of reference tags, the tag collision and deployment cost can be significantly reduced. On the other hand, we use the multipath profile to capture the multipath of signals [1], thus HALL is applicable in the non-line-of-sight environment. Thirdly, benefiting from the CS theory in sparse recovery, HALL acquires a high localization accuracy with measurements collected from only a few of reference tags. The key insight utilizing CS theory depends on the sparse property of the localization, i.e., the number of target tags to be located is much smaller than the number of locations.","PeriodicalId":298684,"journal":{"name":"MobiSys '16 Companion","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121717912","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}
Wireless Sensor Networks (WSNs) have been applied to many long-term monitoring applications like pipeline monitoring and water quality monitoring. However, current WSNs based traditional Geographic Opportunistic Routing (GOR) only focus on the straight regular area, but when comes to the curve strip network, GOR will lose the packet and have a high energy consumption. This paper introduces a robust routing that brings edge detection based region divide and Virtual Sinks to GOR in strip network. Unlike past WSNs routing strategies, this method can cope with the complicated strip network with different curvature in the natural region by dividing them into different sub-regions. As a result, the probability of successful rate is improved up to 91.3%, and the energy consumption rate is reduced up to 3.1%.
{"title":"Poster: A Lightweight Robust Routing in Strip Wireless Sensor Network with Edge Detect Based Region Divided","authors":"Yue Hu, Chen Liu, Dan Xu, Wei Wang, Anwen Wang","doi":"10.1145/2938559.2948811","DOIUrl":"https://doi.org/10.1145/2938559.2948811","url":null,"abstract":"Wireless Sensor Networks (WSNs) have been applied to many long-term monitoring applications like pipeline monitoring and water quality monitoring. However, current WSNs based traditional Geographic Opportunistic Routing (GOR) only focus on the straight regular area, but when comes to the curve strip network, GOR will lose the packet and have a high energy consumption. This paper introduces a robust routing that brings edge detection based region divide and Virtual Sinks to GOR in strip network. Unlike past WSNs routing strategies, this method can cope with the complicated strip network with different curvature in the natural region by dividing them into different sub-regions. As a result, the probability of successful rate is improved up to 91.3%, and the energy consumption rate is reduced up to 3.1%.","PeriodicalId":298684,"journal":{"name":"MobiSys '16 Companion","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124815827","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}
Every physical sensor is pre-defined to act on purpose. Likewise, a virtual sensor is destined to act on application needs, perhaps do more for a single sensor device. This paper explores the conceptual form of a fundamental virtual sensor and also provides experimental result so that it can be deployed as cloud based service.
{"title":"Poster: Virtual Sensor: The Purpose and Applications","authors":"Atrayee Gupta, N. Mukherjee","doi":"10.1145/2938559.2948865","DOIUrl":"https://doi.org/10.1145/2938559.2948865","url":null,"abstract":"Every physical sensor is pre-defined to act on purpose. Likewise, a virtual sensor is destined to act on application needs, perhaps do more for a single sensor device. This paper explores the conceptual form of a fundamental virtual sensor and also provides experimental result so that it can be deployed as cloud based service.","PeriodicalId":298684,"journal":{"name":"MobiSys '16 Companion","volume":"45 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124304213","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}
Chungkuk Yoo, Inseok Hwang, Eric Rozner, Y. Gu, Robert F. Dickerson
1 I o h m f a k s h L p th c I p r c in 2 F a c f s F Dem Everyd Chungkuk Y KAIST 1. INTROD Imagine you c objects using hardware. To t mobile platform fingertip locali as TV screen, kitchen counte surficial intera hardware not c LED, pair of position on a su he 3-D localiz camera of a com In this demo, principle of ref reflection caste challenges. Al nteractive appl
{"title":"Demo: Mobile Platform for Interactive Applications on Everyday Surfaces using a Single Commodity Smartphone","authors":"Chungkuk Yoo, Inseok Hwang, Eric Rozner, Y. Gu, Robert F. Dickerson","doi":"10.1145/2938559.2938573","DOIUrl":"https://doi.org/10.1145/2938559.2938573","url":null,"abstract":"1 I o h m f a k s h L p th c I p r c in 2 F a c f s F Dem Everyd Chungkuk Y KAIST 1. INTROD Imagine you c objects using hardware. To t mobile platform fingertip locali as TV screen, kitchen counte surficial intera hardware not c LED, pair of position on a su he 3-D localiz camera of a com In this demo, principle of ref reflection caste challenges. Al nteractive appl","PeriodicalId":298684,"journal":{"name":"MobiSys '16 Companion","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124445571","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}
Vivek Chandel, A. Sinharay, Nasimuddin Ahmed, Avik Ghose
Inertial Measurement Units (IMUs) embedded in commercial mobile devices are a good choice for continuous monitoring in healthcare domain due to their attractive form factor and low power consumption. We present improved and accurate sensing algorithms to sense basic events like step count, stride length, fall, and calorie, with accuracies better than those of existing arts. The events can be directed to a server running event analytics, yielding important cues about subject's health. One of the important spheres is elderly health- care where such a system might promote a better insight to the subject's health parameters. Fall Detection. For an improved fall detection, we propose the algorithm as in Figure 1, which shows a substantial improvement on mobifall dataset [3] compared to existing arts, with an average sensitivity of 0:855 and a more robust false event rejections. The detection can be used to trigger an automatic alarm for the need of an urgent attention to the elderly subject.
{"title":"Demo: Exploiting IMU Sensors for IoT Enabled Health Monitoring","authors":"Vivek Chandel, A. Sinharay, Nasimuddin Ahmed, Avik Ghose","doi":"10.1145/2938559.2948648","DOIUrl":"https://doi.org/10.1145/2938559.2948648","url":null,"abstract":"Inertial Measurement Units (IMUs) embedded in commercial mobile devices are a good choice for continuous monitoring in healthcare domain due to their attractive form factor and low power consumption. We present improved and accurate sensing algorithms to sense basic events like step count, stride length, fall, and calorie, with accuracies better than those of existing arts. The events can be directed to a server running event analytics, yielding important cues about subject's health. One of the important spheres is elderly health- care where such a system might promote a better insight to the subject's health parameters.\u0000 Fall Detection. For an improved fall detection, we propose the algorithm as in Figure 1, which shows a substantial improvement on mobifall dataset [3] compared to existing arts, with an average sensitivity of 0:855 and a more robust false event rejections. The detection can be used to trigger an automatic alarm for the need of an urgent attention to the elderly subject.","PeriodicalId":298684,"journal":{"name":"MobiSys '16 Companion","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117346571","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}
Social media has a huge potential in the domain of Consumer-to-Consumer (C2C) e-commerce. We plan to exploit this opportunity through matching social media messages from users who are interested in selling and buying items. Such C2C matching in real time is none-trivial due to the complexities of interpreting social media messages, diversity of products/services, sheer number of messages, and computational requirements. Alternatively, if such matching can be done in (near) real-time, it provides a greater potential both to the buyers and sellers. We outline a solution to address this big data problem using information extraction, real-time stream, complex event, and NoSQL dynamic query processing.
{"title":"Demo: Real-Time C2C Matching Based on Social Media Messages","authors":"M. Rilfi, H. Bandara","doi":"10.1145/2938559.2948868","DOIUrl":"https://doi.org/10.1145/2938559.2948868","url":null,"abstract":"Social media has a huge potential in the domain of Consumer-to-Consumer (C2C) e-commerce. We plan to exploit this opportunity through matching social media messages from users who are interested in selling and buying items. Such C2C matching in real time is none-trivial due to the complexities of interpreting social media messages, diversity of products/services, sheer number of messages, and computational requirements. Alternatively, if such matching can be done in (near) real-time, it provides a greater potential both to the buyers and sellers. We outline a solution to address this big data problem using information extraction, real-time stream, complex event, and NoSQL dynamic query processing.","PeriodicalId":298684,"journal":{"name":"MobiSys '16 Companion","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131938913","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}
This paper intends to develop the optimal path finding for emergency cases on mobile devices. According to the weak road network infrastructure of Myanmar, there are some difficulties for Emergency Vehicles. In some townships, there are narrowed roads which are not wide enough to enter the vehicles and closed roads which are not passed through the other streets. In the emergency cases (e.g. Accident or Fire), the drivers mistakenly choose these roads, it can cause problems and delays. The main objective of this system is to find the optimal routes between incident site and emergency services without delay caused by closed and narrowed roads. The system uses Multiple Sources Single-Destination (MSSD) Algorithm using node exclusion to calculate optimal route. Our proposed system significantly solves to find the accident location and locate the closest emergency services by using the real-time technology (GPS/GSM).
{"title":"Poster: Optimal Path Finding for Emergency Cases on Android","authors":"K. Phyo, M. Sein","doi":"10.1145/2938559.2948851","DOIUrl":"https://doi.org/10.1145/2938559.2948851","url":null,"abstract":"This paper intends to develop the optimal path finding for emergency cases on mobile devices. According to the weak road network infrastructure of Myanmar, there are some difficulties for Emergency Vehicles. In some townships, there are narrowed roads which are not wide enough to enter the vehicles and closed roads which are not passed through the other streets. In the emergency cases (e.g. Accident or Fire), the drivers mistakenly choose these roads, it can cause problems and delays. The main objective of this system is to find the optimal routes between incident site and emergency services without delay caused by closed and narrowed roads. The system uses Multiple Sources Single-Destination (MSSD) Algorithm using node exclusion to calculate optimal route. Our proposed system significantly solves to find the accident location and locate the closest emergency services by using the real-time technology (GPS/GSM).","PeriodicalId":298684,"journal":{"name":"MobiSys '16 Companion","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130925650","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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