Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication最新文献

{"title":"MyConverse: recognising and visualising personal conversations using smartphones","authors":"M. Rossi, O. Amft, S. Feese, Christian Käslin, G. Tröster","doi":"10.1145/2494091.2497281","DOIUrl":"https://doi.org/10.1145/2494091.2497281","url":null,"abstract":"MyConverse is a personal conversation recogniser and visualiser for smartphones. MyConverse uses the smartphone's microphone to continuously recognise the user's conversations during daily life. While it recognises pre-trained speakers, unknown speakers are detected and subsequently trained for future identification. Based on the recognition, MyConverse visualises user's social interactions on the smartphone. An extensive system parameter evaluation has been done based on a freely available dataset. Additionally, MyConverse was tested in different real-life environments and in a full-day evaluation study. The speaker recognition system reached an identification accuracy of 75% for 24 speakers in meeting room conditions. In other daily life situations MyConverse reached accuracies from 60% to 84%.","PeriodicalId":220524,"journal":{"name":"Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133341614","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}

{"title":"Combining smart phone and infrastructure sensors to improve security in enterprise settings","authors":"Palanivel A. Kodeswaran, D. Chakraborty, Parikshit Sharma, Sougata Mukherjea, A. Joshi","doi":"10.1145/2494091.2499773","DOIUrl":"https://doi.org/10.1145/2494091.2499773","url":null,"abstract":"There is an increasing trend among employees to bring in their own personal device to work, thereby making the enterprise more vulnerable to security attacks such as data leakage from phones. Additionally, users are increasingly running phone apps in a mixed-mode i.e. both for enterprise and personal commitments. For example, phone cameras and microphones are used to record business meetings, often resulting in the case that both employers and employees become unaware of the existence of business data on the phone at a later point in time. The lack of employer control over personal devices raises enterprise data leakage threats, when an employee's phone is lost or stolen. In this paper we describe a system that leverages sensors available on the phone as well as on the enterprise infrastructure to identify business data resident on the phone for further secure handling. Office spaces have traditionally been instrumented with badge swipe readers, cameras, wifi access points etc. that can be used to provide passive sensory data about employees. For example, badge swipes can be used provide approximate location information of an employee where as calendar entries provide information about their schedule and activities. We propose a distributed architecture that leverages the context of the user for speculatively identifying enterprise data from personal data. The basic idea is to understand whether a user is engaged in enterprise or personal work by inferring her context from a combination of phone and infrastructure sensors. The contextual attributes in our system, such as location, can be sourced from a plurality of sensors on the phone as well as on the infrastructure. We exploit this diversity and propose a cost optimized distributed rule execution framework that chooses the optimal set of predicates to sense on the phone as well as on the infrastructure to reduce sensing cost. Furthermore, the framework also chooses the appropriate site for rule evaluation, either on the infrastructure or phone, to optimize for network transfer cost incurred due to shipping of sensed predicates between the two sites. Combined together,the above two optimizations reduce the battery drain caused due to context inferencing on the phone.","PeriodicalId":220524,"journal":{"name":"Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132151666","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}

{"title":"SenCity: uncovering the hidden pulse of a city (workshop)","authors":"Sarah Gallacher, Vaiva Kalnikaité, J. Mccann, D. Prendergast, Jon Bird, Hans-Christian Jetter","doi":"10.1145/2494091.2499211","DOIUrl":"https://doi.org/10.1145/2494091.2499211","url":null,"abstract":"Cities act as hubs designed to accommodate and support millions of inhabitants, nomads and tourists that rely on the city's infrastructure to move around, communicate and flourish as individuals and as a community. This shapes the culture, habits and pulse of a city creating an organic urban landscape often invisible to the naked eye, but traceable digitally. With the proliferation of sensing and pervasive technologies, we should be able to tell the levels of crowdedness of the city, its mood, or how clean it is by sensing and visualising these aspects. However, this poses interesting research and design questions; how would one design a device for tracking and visualising crowdedness on buses, for example. This workshop aims to explore the use of sensing technologies for visually resurfacing some of the hidden dynamics of the city by providing a collaborative and facilitated environment for applied research and creative exploration. This complements other workshops in the \"urban\" or \"cities\" theme, such as PURBA (Pervasive Urban Applications), that investigate urban environments from a theoretical perspective. After initial discussions on a joint workshop, the SenCity and PURBA organisers concluded that these workshops were complementary yet different enough to give participants the benefit of taking part in both; gaining the theory from PURBA and collaboratively applying practical research and creative flair at the SenCity workshop to sense, visualise and share the hidden pulse of Zürich.","PeriodicalId":220524,"journal":{"name":"Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124539005","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}

{"title":"Locating emergencies in a campus using wi-fi access point association data","authors":"Asma Ahmad Farhan, Athanasios Bamis, B. Wang","doi":"10.1145/2494091.2499579","DOIUrl":"https://doi.org/10.1145/2494091.2499579","url":null,"abstract":"Despite much progress in emergency management, effective techniques for real-time tracking of emergency events are still lacking. We envision a promising direction to achieve real-time emergency tracking is through widely adopted smartphones. In this paper, we explore the first step in achieving this goal, namely, locating emergency in real time using smartphones. Our main contribution is a novel approach that locates emergencies by analyzing AP (access point) association events collected from a campus Wi-Fi network. It is motivated by the observation that human behavior and mobility pattern are significantly altered in the face of emergency, which is reflected in how their smartphones associate with the APs in the network. More specifically, our approach locates emergency by discovering APs with abnormal association patterns using Extreme Value Theory (EVT). Preliminary evaluation using real data collected from a university campus network demonstrates the effectiveness of our approach.","PeriodicalId":220524,"journal":{"name":"Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114794987","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}

{"title":"Constructing trip routes with user preference from location check-in data","authors":"Hsun-Ping Hsieh, Cheng-te Li","doi":"10.1145/2494091.2494155","DOIUrl":"https://doi.org/10.1145/2494091.2494155","url":null,"abstract":"This paper presents a novel trip route construction using location check-in data. Given a set of preference lists of locations from users, we aim to coordinate their preferred locations to visit and construct a route which not only satisfying user preferences as many as possible, but also being popular and reasonable. We formulate such preferred route construction as an optimization problem. We solve it efficiently and effectively by devising some greedy methods. Experiments on Gowalla large-scale check-in data show the promising effectiveness and efficiency of our methods.","PeriodicalId":220524,"journal":{"name":"Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114378958","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}

{"title":"Labeling method for acceleration data using an execution sequence of activities","authors":"Kazuya Murao, T. Terada","doi":"10.1145/2494091.2495982","DOIUrl":"https://doi.org/10.1145/2494091.2495982","url":null,"abstract":"In the area of activity recognition, many systems using accelerometers have been proposed. Common method for activity recognition requires raw data labeled with ground truth to learn the model. To obtain ground truth, a wearer records his/her activities during data logging through video camera or handwritten memo. However, referring a video takes long time and taking a memo interrupts natural activity. We propose a labeling method for activity recognition using an execution sequence of activities. The execution sequence includes activities in performed order, does not include time stamps, and is made based on his/her memory. Our proposed method partitions and classifies unlabeled data into segments and clusters, and assigns a cluster to each segment, then assign labels according to the best-matching assignment of clusters with the user-recorded activities. The proposed method gave a precision of 0.812 for data including seven kinds of activities. We also confirmed that recognition accuracy with training data labeled with our proposal gave a recall of 0.871, which is equivalent to that with ground truth.","PeriodicalId":220524,"journal":{"name":"Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116969062","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}

{"title":"Temporally-relaxed conditions for activation of services in the web of things","authors":"M. A. Neumann, D. Hassler, Yong Ding, T. Riedel, M. Beigl","doi":"10.1145/2494091.2497586","DOIUrl":"https://doi.org/10.1145/2494091.2497586","url":null,"abstract":"We present a language of temporal conditions for detecting concurrent events in embedded Web-enabled devices, and for triggering pervasive services on these systems. Based on the assumption that evaluating conditions on distributed devices is relevant for providing robustness and to foster scalability and web real-time, we discuss the feasibility of in-situ evaluation of the proposed conditions and conduct a performance study. In a smart environments use case, it is illustrated how the language can be used to state activation concerns of services on distributed Web resources. Our proposed architecture integrates the language with the Web of Things to foster simplified development of applications that mash up Web-enabled devices.","PeriodicalId":220524,"journal":{"name":"Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116972748","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}

{"title":"Chairs' summary/proposal for international workshop on human activity sensing corpus and its application (hasca2013)","authors":"Nobuo Kawaguchi, N. Nishio, D. Roggen, K. Fujinami, S. Pirttikangas","doi":"10.1145/2494091.2495992","DOIUrl":"https://doi.org/10.1145/2494091.2495992","url":null,"abstract":"Recent advancement of technology enables installations of small sized accelerometers or gyroscopes on various kinds of wearable/portable information devices. By using such wearable sensors, these devices can estimate its posture or status. However, most of current devices only utilize these sensors for simple orientation and gesture recognition. More deep understandings and recognition of human activity through these sensors will enable the next-generation human-oriented computing. To enable the real-world application by these kinds of wearable sensors, a large scale human activity sensing corpus might play an important role. Additionally, we have now a lot of high-performance mobile devices in real-world such as smart-phones. It is a great challenge to utilize such an enormous number of wearable sensors to collect a large-scale activity corpus. In recent years, there are several ongoing projects which are collecting human activities. In this workshop, we are planning to share these experiences of current research on the human activity corpus and its applications among the researchers and the practitioners and to have a deep discussion for future of activity sensing.","PeriodicalId":220524,"journal":{"name":"Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116003697","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}

{"title":"Collective spaces and collected action: towards reconnecting food, consumers and nature","authors":"Elizabeth Edwards, Louise Mullagh, G. Dean, G. Blair","doi":"10.1145/2494091.2497312","DOIUrl":"https://doi.org/10.1145/2494091.2497312","url":null,"abstract":"Disconnection between food production, its consumers and in turn between consumers and nature is increasingly seen as problematic for both producers and society at large. Consumers now know very little about where their food has come from, leading potentially to less sustainable practices and less engagement with what they eat and drink. We present the concept of reconnecting food (in this particular example, coffee) and consumers through design interventions in the High Street, employing digital innovations based on concepts from the Internet of Things and pervasive public displays. Two interventions carried out within the setting of J. Atkinson & Co. coffee and tea merchants in Lancaster City are discussed. We document the research processes, interaction design and their implementation in relation to notions of reconnecting products and consumers. Future interventions within the setting are also presented in order to demonstrate the on-going dialogue between researchers and retailers. We show that through exploring reconnection through storytelling within a retail environment there is potential to tackle the issues raised in the paper and engage with retailers and consumers.","PeriodicalId":220524,"journal":{"name":"Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117195453","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}

{"title":"My reading life: towards utilizing eyetracking on unmodified tablets and phones","authors":"K. Kunze, Shoya Ishimaru, Yuzuko Utsumi, K. Kise","doi":"10.1145/2494091.2494179","DOIUrl":"https://doi.org/10.1145/2494091.2494179","url":null,"abstract":"As reading is an integral part of our knowledge lives, we should know more about our reading activities. This paper introduces a reading application for smart phone and tablets that aims at giving user more quantified information about their reading habits. We present our work towards building an open library for eye tracking on unmodified tablets and smart phones to support some of the applications advanced functionality. We implemented already several eye tracking algorithms from previous work, unfortunately all seem not to be robust enough for our application case. We give an overview about our challenges and potential solutions.","PeriodicalId":220524,"journal":{"name":"Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129454791","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}