Pub Date : 2015-03-23DOI: 10.1109/PERCOMW.2015.7134103
Sougata Sen, Vigneshwaran Subbaraju, Archan Misra, R. Balan, Youngki Lee
We explore the use of gesture recognition on a wrist-worn smartwatch as an enabler of an automated eating activity (and diet monitoring) system. We show, using small-scale user studies, how it is possible to use the accelerometer and gyroscope data from a smartwatch to accurately separate eating episodes from similar non-eating activities, and to additionally identify the mode of eating (i.e., using a spoon, bare hands or chopsticks). Additionally, we investigate the likelihood of automatically triggering the smartwatch's camera to capture clear images of the food being consumed, for possible offline analysis to identify what (and how much) the user is eating. Our results show both the promise and challenges of this vision: while opportune moments for capturing such useful images almost always exist in an eating episode, significant further work is needed to both (a) correctly identify the appropriate instant when the camera should be triggered and (b) reliably identify the type of food via automated analyses of such images.
{"title":"The case for smartwatch-based diet monitoring","authors":"Sougata Sen, Vigneshwaran Subbaraju, Archan Misra, R. Balan, Youngki Lee","doi":"10.1109/PERCOMW.2015.7134103","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134103","url":null,"abstract":"We explore the use of gesture recognition on a wrist-worn smartwatch as an enabler of an automated eating activity (and diet monitoring) system. We show, using small-scale user studies, how it is possible to use the accelerometer and gyroscope data from a smartwatch to accurately separate eating episodes from similar non-eating activities, and to additionally identify the mode of eating (i.e., using a spoon, bare hands or chopsticks). Additionally, we investigate the likelihood of automatically triggering the smartwatch's camera to capture clear images of the food being consumed, for possible offline analysis to identify what (and how much) the user is eating. Our results show both the promise and challenges of this vision: while opportune moments for capturing such useful images almost always exist in an eating episode, significant further work is needed to both (a) correctly identify the appropriate instant when the camera should be triggered and (b) reliably identify the type of food via automated analyses of such images.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116196518","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 : 2015-03-23DOI: 10.1109/PERCOMW.2015.7134028
Shaosong Li, Shivakant Mishra
Modern smartphones are increasingly equipped with mul-ticore processors. However, current applications are yet to take full advantage of this new architecture, particularly in the area of managing power consumption. This demo demonstrates three new scheduling algorithms that dynamically schedule an optimal number of cores with each core running at an optimal frequency. A unique feature of these scheduling algorithms is that they take into account the tradeoff between power consumption, performance and user experience. They achieve the best tradeoff under the current context. A prototype implementation on a quad-core HTC One smartohone shows that these algorithms result in significant reduction in power consumption while ensuring good performance and user experience. The demo includes several different popular smartphone applications such as video streaming using YouTube, Candy Crush game, audio streaming using Pandora, navigation using Google Maps, and converting video from .avi to .mp4 format. Users can run these applications using one of the three new scheduling algorithms under different tradeoff scenarios and observe the amount of power savings achieved by the new algorithms.
{"title":"Demo abstract: Power aware core scheduling in multicore smartphones","authors":"Shaosong Li, Shivakant Mishra","doi":"10.1109/PERCOMW.2015.7134028","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134028","url":null,"abstract":"Modern smartphones are increasingly equipped with mul-ticore processors. However, current applications are yet to take full advantage of this new architecture, particularly in the area of managing power consumption. This demo demonstrates three new scheduling algorithms that dynamically schedule an optimal number of cores with each core running at an optimal frequency. A unique feature of these scheduling algorithms is that they take into account the tradeoff between power consumption, performance and user experience. They achieve the best tradeoff under the current context. A prototype implementation on a quad-core HTC One smartohone shows that these algorithms result in significant reduction in power consumption while ensuring good performance and user experience. The demo includes several different popular smartphone applications such as video streaming using YouTube, Candy Crush game, audio streaming using Pandora, navigation using Google Maps, and converting video from .avi to .mp4 format. Users can run these applications using one of the three new scheduling algorithms under different tradeoff scenarios and observe the amount of power savings achieved by the new algorithms.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124087903","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 : 2015-03-23DOI: 10.1109/PERCOMW.2015.7134019
Bozidara Cvetkovic, Vito Janko, M. Luštrek
This paper presents a novel method for activity recognition and estimation of human energy expenditure with a smartphone and an optional heart-rate monitor. The method detects the presence of the devices, normalizes the orientation of the phone, detects its location on the body, and uses location-specific models to recognize the activity and estimate the energy expenditure. The normalization of the orientation and the detection of the location significantly improve the accuracy; the estimated energy expenditure is more accurate than that provided by a state-of-the-art dedicated consumer device.
{"title":"Demo abstract: Activity recognition and human energy expenditure estimation with a smartphone","authors":"Bozidara Cvetkovic, Vito Janko, M. Luštrek","doi":"10.1109/PERCOMW.2015.7134019","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134019","url":null,"abstract":"This paper presents a novel method for activity recognition and estimation of human energy expenditure with a smartphone and an optional heart-rate monitor. The method detects the presence of the devices, normalizes the orientation of the phone, detects its location on the body, and uses location-specific models to recognize the activity and estimate the energy expenditure. The normalization of the orientation and the detection of the location significantly improve the accuracy; the estimated energy expenditure is more accurate than that provided by a state-of-the-art dedicated consumer device.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129240834","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 : 2015-03-23DOI: 10.1109/PERCOMW.2015.7133995
Dimitrios Tomaras, Ioannis Boutsis, V. Kalogeraki
Travel time estimation is a strategically important service in urban environments for personalized and eco-friendly route planning optimization, congestion avoidance, ridesharing and taxi dispatching. However, storing and retrieving traffic data in specific spatiotemporal regions is not an easy task as the data generated by these systems are typically very large and dynamic. In this paper we propose an efficient and scalable solution for real-time travel time estimation of trajectories. In our system buses are used as speed probes to obtain real-time traffic data information and spatio-temporal trajectories are stored in a dynamic indexing system optimized for efficiently retrieving spatiotemporal data in real-time. Our experimental evaluation illustrates the efficiency and scalability of our approach.
{"title":"Travel time estimation in real-time using buses as speed probes","authors":"Dimitrios Tomaras, Ioannis Boutsis, V. Kalogeraki","doi":"10.1109/PERCOMW.2015.7133995","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7133995","url":null,"abstract":"Travel time estimation is a strategically important service in urban environments for personalized and eco-friendly route planning optimization, congestion avoidance, ridesharing and taxi dispatching. However, storing and retrieving traffic data in specific spatiotemporal regions is not an easy task as the data generated by these systems are typically very large and dynamic. In this paper we propose an efficient and scalable solution for real-time travel time estimation of trajectories. In our system buses are used as speed probes to obtain real-time traffic data information and spatio-temporal trajectories are stored in a dynamic indexing system optimized for efficiently retrieving spatiotemporal data in real-time. Our experimental evaluation illustrates the efficiency and scalability of our approach.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129405162","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 : 2015-03-23DOI: 10.1109/PERCOMW.2015.7134094
Kamran Ali, H. Nguyen, Quoc-Tuan Vien, P. Shah
In the past decades, serious natural disasters such as earthquakes, tsunamis, floods, and storms have occurred frequently worldwide with catastrophic consequences. They also helped us understand that organising and maintaining effective communication during the disaster are vital for the execution of rescue operations. As communication resources are often entirely or partially damaged by disasters, the demand for information and communication technology (ICT) services explosively increases just after the events. These situations instigate serious network traffic congestions and physical damage of ICT equipments and emergency ICT networks if uprooted as a pre-disaster network system. This article proposes a network architecture design by integrating the existing network infrastructure with the reinforcement of layers based techniques and cloud processing concepts. This resilient network architecture allows the ICT services to be launched within a reasonable short period of time of development. Furthermore, communication in a disaster is sustained by implementing a three-tier fortification of the overall network architecture which would also minimize the physical and logical redundancy for resilient and flexible ICT resources. As cloud processing will work as a parallel reinforced infrastructure, the proposed approach and network design will give new hope for the developing countries to consider cloud computing services for effectiveness and better dependability on the architecture to save ICT and humanitarian network at the time of disaster.
{"title":"Disaster management communication networks: Challenges and architecture design","authors":"Kamran Ali, H. Nguyen, Quoc-Tuan Vien, P. Shah","doi":"10.1109/PERCOMW.2015.7134094","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134094","url":null,"abstract":"In the past decades, serious natural disasters such as earthquakes, tsunamis, floods, and storms have occurred frequently worldwide with catastrophic consequences. They also helped us understand that organising and maintaining effective communication during the disaster are vital for the execution of rescue operations. As communication resources are often entirely or partially damaged by disasters, the demand for information and communication technology (ICT) services explosively increases just after the events. These situations instigate serious network traffic congestions and physical damage of ICT equipments and emergency ICT networks if uprooted as a pre-disaster network system. This article proposes a network architecture design by integrating the existing network infrastructure with the reinforcement of layers based techniques and cloud processing concepts. This resilient network architecture allows the ICT services to be launched within a reasonable short period of time of development. Furthermore, communication in a disaster is sustained by implementing a three-tier fortification of the overall network architecture which would also minimize the physical and logical redundancy for resilient and flexible ICT resources. As cloud processing will work as a parallel reinforced infrastructure, the proposed approach and network design will give new hope for the developing countries to consider cloud computing services for effectiveness and better dependability on the architecture to save ICT and humanitarian network at the time of disaster.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122160275","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 : 2015-03-23DOI: 10.1109/PERCOMW.2015.7134012
Jesse Zaman, W. Meuter
Participatory sensing provides the enabling technology to deploy community-based environmental monitoring and information systems, also known as citizen observatories. Even though these observatories all share a similar structure, constructing a new citizen observatory for a new type of data requires all software infrastructure to be rebuilt from scratch. In this paper we introduce DisCoPar, our component based system inspired by flow-based programming, that aims to provide a component library for constructing citizen observatories. Due to the high reconfigurability and reusability on different levels of our system, we ensure that all the features of a citizen observatory can be implemented. This includes data gathering features of currently existing participatory sensing applications, data aggregation methods, and participant coordination. This participant coordination and collaboration is facilitated due to the highly reactive nature of our flow-based system.
{"title":"DisCoPar: Distributed components for participatory campaigning","authors":"Jesse Zaman, W. Meuter","doi":"10.1109/PERCOMW.2015.7134012","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134012","url":null,"abstract":"Participatory sensing provides the enabling technology to deploy community-based environmental monitoring and information systems, also known as citizen observatories. Even though these observatories all share a similar structure, constructing a new citizen observatory for a new type of data requires all software infrastructure to be rebuilt from scratch. In this paper we introduce DisCoPar, our component based system inspired by flow-based programming, that aims to provide a component library for constructing citizen observatories. Due to the high reconfigurability and reusability on different levels of our system, we ensure that all the features of a citizen observatory can be implemented. This includes data gathering features of currently existing participatory sensing applications, data aggregation methods, and participant coordination. This participant coordination and collaboration is facilitated due to the highly reactive nature of our flow-based system.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123840416","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 : 2015-03-23DOI: 10.1109/PERCOMW.2015.7134009
B. Moreno, V. Times, S. Matwin
With the increasing popularity of Location-based Social Networks (LBSNs), users have shared information about places they have visited, creating a link between the real world (their movements on the globe) and the virtual world (what they express about these movements on the LBSNs). In this article, we propose the SiST model, which contains information captured from different dimensions (Social, Spatial and Temporal). The proposed model is a graph that links two users, as long as both of them are friends and have published that they were at the same place within a predefined time interval. In addition to movement patterns that can be extracted using SiST, this model may be used to predict if two users will meet in a short time span by executing a classification algorithm. Performance tests were conducted with SiST networks that were built based on three real LBSN datasets. Results indicated that it is possible to forecast with high accuracy (ranging from 80.50% to 96.32%) whether two people will meet or not using two days of historical data.
{"title":"A spatio-temporal network model to represent and analyze LBSNs","authors":"B. Moreno, V. Times, S. Matwin","doi":"10.1109/PERCOMW.2015.7134009","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134009","url":null,"abstract":"With the increasing popularity of Location-based Social Networks (LBSNs), users have shared information about places they have visited, creating a link between the real world (their movements on the globe) and the virtual world (what they express about these movements on the LBSNs). In this article, we propose the SiST model, which contains information captured from different dimensions (Social, Spatial and Temporal). The proposed model is a graph that links two users, as long as both of them are friends and have published that they were at the same place within a predefined time interval. In addition to movement patterns that can be extracted using SiST, this model may be used to predict if two users will meet in a short time span by executing a classification algorithm. Performance tests were conducted with SiST networks that were built based on three real LBSN datasets. Results indicated that it is possible to forecast with high accuracy (ranging from 80.50% to 96.32%) whether two people will meet or not using two days of historical data.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128816360","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 : 2015-03-23DOI: 10.1109/PERCOMW.2015.7134037
Oliver Stecklina
All visions of pervasive computing share the idea of smart, small, and cheap devices that improve our everyday life. Their applications typically fall under sensor-based communication-enabled autonomous and deeply embedded monitor and control systems. But common smart sensors and deeply embedded controllers are also able to do many things that we do not want. In fact, they will be always vulnerable to doing the bidding of attackers, to the detriment of their owners. This work presents a concept of a security architecture for tiny scale devices, which are typically close to the physical elements and featured with very limited resources. The concept describes a compile- and run-time co-design process to bring a tailor-made implementation of well-understood technologies of desktop systems on this type of devices to enforce an adequate security level.
{"title":"A secure isolation of software activities in tiny scale systems","authors":"Oliver Stecklina","doi":"10.1109/PERCOMW.2015.7134037","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134037","url":null,"abstract":"All visions of pervasive computing share the idea of smart, small, and cheap devices that improve our everyday life. Their applications typically fall under sensor-based communication-enabled autonomous and deeply embedded monitor and control systems. But common smart sensors and deeply embedded controllers are also able to do many things that we do not want. In fact, they will be always vulnerable to doing the bidding of attackers, to the detriment of their owners. This work presents a concept of a security architecture for tiny scale devices, which are typically close to the physical elements and featured with very limited resources. The concept describes a compile- and run-time co-design process to bring a tailor-made implementation of well-understood technologies of desktop systems on this type of devices to enforce an adequate security level.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128442434","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 : 2015-03-23DOI: 10.1109/PERCOMW.2015.7134074
J. Birjandtalab, Qingxue Zhang, R. Jafari
Miniaturization and form factor reduction in wearable computers leads to enhanced wearability. Power optimization typically translates to form factor reduction, hence of paramount importance. This paper demonstrates power consumption analysis obtained for various operating modes in circuits suitable for wearable computers which are typically equipped with sensors that provide time series data (e.g., acceleration, ECG). Dynamic time warping (DTW) is considered a suitable signal processing technique for wearable computers, particularly due to its lower computational complexity requirement and the robustness to speed variations (acceleration and de-acceleration) in time series data. Wearable computers usually have very low computational performance requirements, which is explored in this work to minimize the system level energy consumption. We provide a comparison among three modes of operations, namely minimum energy operating point (MEOP), minimum voltage operation point (MVOP) and nominal voltage operating point (NVOP) all leveraging sleep transistors when circuits are inactive. The results show that the MVOP, in conjunction with sleep transistors, provides the least energy budget and leads to a reduction in energy consumption compared to the MEO, which is known as a suitable operating mode for ultra-low power circuits.
{"title":"A case study on minimum energy operation for dynamic time warping signal processing in wearable computers","authors":"J. Birjandtalab, Qingxue Zhang, R. Jafari","doi":"10.1109/PERCOMW.2015.7134074","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134074","url":null,"abstract":"Miniaturization and form factor reduction in wearable computers leads to enhanced wearability. Power optimization typically translates to form factor reduction, hence of paramount importance. This paper demonstrates power consumption analysis obtained for various operating modes in circuits suitable for wearable computers which are typically equipped with sensors that provide time series data (e.g., acceleration, ECG). Dynamic time warping (DTW) is considered a suitable signal processing technique for wearable computers, particularly due to its lower computational complexity requirement and the robustness to speed variations (acceleration and de-acceleration) in time series data. Wearable computers usually have very low computational performance requirements, which is explored in this work to minimize the system level energy consumption. We provide a comparison among three modes of operations, namely minimum energy operating point (MEOP), minimum voltage operation point (MVOP) and nominal voltage operating point (NVOP) all leveraging sleep transistors when circuits are inactive. The results show that the MVOP, in conjunction with sleep transistors, provides the least energy budget and leads to a reduction in energy consumption compared to the MEO, which is known as a suitable operating mode for ultra-low power circuits.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116761183","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}
The past years has seen the emergence and fast growing of various wearable devices, such as smart watches, wrist bands, rings, glasses, jewelry, garments, etc. Although wearable devices have a wide usage scope, healthcare is one of the most promising field which is being exploited by a number of big enterprises and research institutes. However, existing healthcare related wearable products usually work individually. There is almost no data transmission or information exchange between different kinds of devices, which prevents data fusion of multiple devices and development of upper layer healthcare applications. In this demo, we present WearableHUB, a mobile phone based open pervasive wearable data fusion platform for personal health management. WearableHUB can transform multimodal data (motion data, physiological indices, etc.) into unified format according to predefined standard. Other than traditional wearable computing system, WearableHUB not only can get preloaded function results from different devices based on module library according to data type and device position, but also can trigger and get dynamic online downloaded APP function base on fusing multimodal data and extracting higher level information.
{"title":"Demo abstract: WearableHUB: An open pervasive wearable data fusion platform for personal health management","authors":"Yiqiang Chen, Wen Gao, Shuangquan Wang, Shuai Jiao","doi":"10.1109/PERCOMW.2015.7134027","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134027","url":null,"abstract":"The past years has seen the emergence and fast growing of various wearable devices, such as smart watches, wrist bands, rings, glasses, jewelry, garments, etc. Although wearable devices have a wide usage scope, healthcare is one of the most promising field which is being exploited by a number of big enterprises and research institutes. However, existing healthcare related wearable products usually work individually. There is almost no data transmission or information exchange between different kinds of devices, which prevents data fusion of multiple devices and development of upper layer healthcare applications. In this demo, we present WearableHUB, a mobile phone based open pervasive wearable data fusion platform for personal health management. WearableHUB can transform multimodal data (motion data, physiological indices, etc.) into unified format according to predefined standard. Other than traditional wearable computing system, WearableHUB not only can get preloaded function results from different devices based on module library according to data type and device position, but also can trigger and get dynamic online downloaded APP function base on fusing multimodal data and extracting higher level information.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122031367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：