Journal of Location Based Services最新文献

{"title":"Maps, vibration or gaze? Comparison of novel navigation assistance in indoor and outdoor environments","authors":"Charalampos Gkonos, I. Giannopoulos, M. Raubal","doi":"10.1080/17489725.2017.1323125","DOIUrl":"https://doi.org/10.1080/17489725.2017.1323125","url":null,"abstract":"Abstract Pedestrian navigation assistance is often utilized in familiar as well as in unfamiliar environments. In recent years, several novel approaches have been introduced relying on map-based, vibrotactile or gaze-based interaction. We introduce a novel interaction concept named ‘VibroGaze’ that combines the benefits of vibrotactile and gaze-based interaction for pedestrian navigation. Furthermore, we present the results of a between subjects experiment with 40 participants for the evaluation of four of the most novel pedestrian navigation approaches in an indoor (multi-level building) as well as an outdoor setting. The results showed that our proposed navigation concept can effectively assist the users during navigation. Moreover, the findings revealed differences between the two tested environments and suggest that the typical map-based approach is still the most efficient navigation aid for indoor environments.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"11 1","pages":"29 - 49"},"PeriodicalIF":2.3,"publicationDate":"2017-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2017.1323125","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46663408","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":"Maintaining anonymity using -privacy","authors":"D. Nussbaum, Masoud T. Omran, J. Sack","doi":"10.1080/17489725.2017.1363419","DOIUrl":"https://doi.org/10.1080/17489725.2017.1363419","url":null,"abstract":"Abstract In this paper, we study potential inference attacks targeting location-based service (LBS) users. In particular, we introduce a new model for privacy protection, provides heuristic defence techniques to protect users’ privacy from such attacks, and present the results of experiments performed to evaluate the heuristics. Potential attackers who gain access to supplemental information may infer sensitive information such as location, identity or lifestyle about a user querying an LBS. Supplemental information used includes the times when queries are submitted, speed limits, and travel times for the underlying road network, or residential/commercial address directories. Our objective here is to prevent attackers from connecting external information to user queries. To address this objective, we introduce the notion of (i, j)-privacy. The novel (i, j)-privacy model generalises previous privacy models and allows users to customise their own privacy levels. To implement (i, j)-privacy, we have designed several heuristics. Although these are heuristic approaches, they do provide exact responses for user queries. We evaluate these heuristics experimentally on different road networks. We study the impact of a number of input parameters (mainly geometric) and present the results here. Our experiments demonstrate that, for realistic user settings, our algorithms provide results rapidly and of high quality.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"11 1","pages":"1 - 28"},"PeriodicalIF":2.3,"publicationDate":"2017-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2017.1363419","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46384933","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":"A low-cost wireless sensors positioning solution for indoor parking facilities management","authors":"V. Gikas, C. Antoniou, G. Retscher, A. Panagopoulos, A. Kealy, H. Perakis, T. Mpimis","doi":"10.1080/17489725.2016.1231351","DOIUrl":"https://doi.org/10.1080/17489725.2016.1231351","url":null,"abstract":"Abstract A relatively low-cost system for indoor parking facilities management is proposed, which is a combined solution of RFID/WiFi and a MEMS IMU monitoring scheme. An RFID localisation module is proposed in the form of so-called virtual gates. To define such virtual gates, either RFID tags or readers are placed at known locations throughout the area of interest. In this study, a number of tags are fixed at known positions and a moving reader is carried by each participating vehicle. Based on this configuration set-up, the Cell of Origin (CoO) technique is applied, in which the system indicates the presence of the user carrying the reader in a cell around the tag location. To define a virtual gate, tags are installed along the parking lot corridors and at critical transit passages in the parking facility. The CoO technique is also proposed in the case of WiFi for location determination of vehicles in a multi-storey car park. In this study, WiFi is employed to monitor the passing vehicles and bridge the gap until a tag can detect a user’s reader again. Thus, a combined positioning solution of RFID and WiFi is achieved. As a complement to the proposed RFID/WiFi system, this study examines the potential and limitations of MEMS IMU sensors (i.e. accelerometers, gyroscopes and barometers) commonly found in modern smartphones. The paper concludes with a detailed discussion on the implications of alternative positioning techniques for indoor parking management.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"10 1","pages":"241 - 261"},"PeriodicalIF":2.3,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2016.1231351","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60103013","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":"Characterising indoor positioning estimation using experimental data from an active RFID-based real-time location system","authors":"Luan D. M. Lam, A. Tang, John C. Grundy","doi":"10.1080/17489725.2016.1259893","DOIUrl":"https://doi.org/10.1080/17489725.2016.1259893","url":null,"abstract":"Abstract Indoor positioning has attracted much research effort due to many potential applications such as human or object tracking and inventory management. Whilst there are a number of indoor positioning techniques and algorithms developed to improve positioning estimation, there is still no systematic way to characterise the estimation. In this paper, we propose a method comprising of three characteristics to characterise indoor positioning estimation. We conducted experiments on an active radio frequency identification (RFID)-based real-time location system in different environmental conditions. We used both a human and a robot to traverse two experimental areas and collected positioning results at different fixed points along the traversal path. Using this basic positioning data, we were able to characterise positioning estimation using three characterisations: position accuracy, centroid consistency and angular distribution. We demonstrate the use of these characteristics for examining different points in a travelling path and different measurements.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"10 1","pages":"262 - 284"},"PeriodicalIF":2.3,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2016.1259893","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60103181","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":"ILONA: indoor localization and navigation system","authors":"Zsolt Tóth","doi":"10.1080/17489725.2017.1283453","DOIUrl":"https://doi.org/10.1080/17489725.2017.1283453","url":null,"abstract":"Indoor positioning is a hot topic these days and there is a growing need for it in public buildings such as airports, hospitals, universities or shopping malls. Indoor positioning systems should be accurate, easily available for the users, with low installation and maintenance cost, which makes development challenging. Existing systems are based on various technologies such as ultrasonic, RFID, WiFi or light encoding. Moreover, these systems are tailored to a given environment and usually rely on a single technology. This paper presents the indoor localization and navigation (ILONA) System, a flexible hybrid indoor positioning and navigation framework. The ILONA System was not designed to be a solution for a single indoor positioning task but to be a standard core component of various systems. The ILONA System provides easily available positioning and navigation services for the end users. The system can manage data from the most commonly available sensors of modern smart phones. Thus, the ILONA System can perform positioning based on various technologies. ILONA System can be established at low cost because it only requires a connection between the server and the clients and WLAN is usually available. Hence, the presented ILONA System provides a widely available, hybrid indoor positioning framework at low cost to the developers of other indoor positioning solutions.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"68 1","pages":"285 - 302"},"PeriodicalIF":2.3,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2017.1283453","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60103242","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":"Heuristics-based indoor positioning systems: a systematic literature review","authors":"Luan D. M. Lam, A. Tang, John C. Grundy","doi":"10.1080/17489725.2016.1232842","DOIUrl":"https://doi.org/10.1080/17489725.2016.1232842","url":null,"abstract":"Context: Many heuristics-based indoor positioning approaches have been developed to enhance positioning estimation. However, there is no comprehensive survey of these heuristics information and methods. Objective: The main objective of this study is to provide a holistic view and an in-depth analysis of what heuristics information and methods have been used, their general achievements and limitations. This study aims to provide a comprehensive summary to facilitate further research on indoor positioning heuristics. Method: We conducted a systematic literature review (SLR) on indoor positioning heuristics. Results: Ninety-three (93) primary studies were selected. We found two general types of heuristics information and four primary heuristics methods, which we summarised in this paper. We also found that many of these positioning heuristics are tested in experimental settings only. Some heuristics claim practical applications but are not tested for the challenging and typical indoor environments. Conclusion: Most existing heuristics information and methods rely on the assumptions that may not be true in real life environment, hence limiting the usefulness of the positioning outcomes. Based on the analysis of this SLR, we propose two research directions to enhance positioning estimation.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"10 1","pages":"178 - 211"},"PeriodicalIF":2.3,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2016.1232842","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60103059","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":"Evaluating GPS sampling rates for pedestrian assistant systems","authors":"C. Schneider, Sebastian Zutz, K. Rehrl, Richard Brunauer, Simon Gröchenig","doi":"10.1080/17489725.2016.1259509","DOIUrl":"https://doi.org/10.1080/17489725.2016.1259509","url":null,"abstract":"Abstract In recent years, assistant systems have come to widespread use and support people in various situations e.g. in getting from A to B. For quite a time also assistant systems with special attention to older people have been developed. For example, in case of cognitive impairments where autonomous living indoors as well as outdoors is affected, assistant systems can be valuable aids. First attempts for outdoor assistance with GPS-based location systems offering the possibility to define geo-fences for raising an alert if a known area is left have been made. The quality of these systems is largely dependent on the precision of localisation which among others is influenced by the sampling rate. This paper reports on an empirical study under real world conditions to determine a suitable GPS sampling rate for movement analysis of (cognitively impaired) pedestrians. The work considers GPS measurement and interpolation errors as well as track losses as a result of low sampling rates. For the study, GPS data for different environmental settings and movement scenarios for sampling rates of 1, 2, 3, 4, 5, 10, 15, 20 and 25 s has been collected. The impact of sampling rates on movement parameters like track length and speed has been empirically measured. Additionally, the influence of smoothing approaches on data quality and whether downsampling of data has the same effect as recording with corresponding lower sampling rate has been studied. Results show that across all tested scenarios a sampling rate of 3–5 s seems to be appropriate with respect to speed and track length. Additionally, it can be argued that smoothing improves data quality of highly sampled data (up to 4 s). With downsampling, outliers are less in comparison to data sampled at the corresponding sampling rate.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"10 1","pages":"212 - 239"},"PeriodicalIF":2.3,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2016.1259509","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60103100","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":"Development of a step counter based on artificial neural networks","authors":"J. Kupke, T. Willemsen, Friedrich Keller, H. Sternberg","doi":"10.1080/17489725.2016.1196832","DOIUrl":"https://doi.org/10.1080/17489725.2016.1196832","url":null,"abstract":"The research field of indoor navigation focuses on the position estimate in GNSS-shaded (Global Navigation Satellite System) areas. Accelerometer and gyroscope as Micro Electro Mechanical Systems are used for a position estimate based on Pedestrian Dead Reckoning, where the accelerometer is used for step detection. To realize a usefull position estimate for pedestrian navigation, the distance accuracy of the step length has to be less than a few centimeters to reach this accuracy, because the distance errors add up themselves time-dependent. This step length is derived from the sensor data of the integrated accelerometer of the smartphone. In this article, a step counter with step length estimate based on a artificial neural network (ANN) is described. The Matlab toolbox Neural Network is used to generate the structure of ANN. After leveling the three axis accelerometer the z-axis acceleration will be used to realize a ANN based on data from more than forty persons. Besides that, the results will be compared to an alternative approach, while two conditions are used which successively must be fulfilled. The results of this investigation reveal a step recognition rate of 99.5% as well as an average distance error of 9% of the respective distance.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"10 1","pages":"161 - 177"},"PeriodicalIF":2.3,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2016.1196832","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60102993","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":"Inferring road maps from sparsely sampled GPS traces","authors":"Jia Qiu, Ruisheng Wang","doi":"10.1080/17489725.2016.1183053","DOIUrl":"https://doi.org/10.1080/17489725.2016.1183053","url":null,"abstract":"Abstract We propose a novel segmentation-and-grouping framework for road map inference from sparsely sampled GPS traces. First, we extend Density-Based Spatial Clustering of Application with Noise with an orientation constraint to partition the entire point set of the traces into point clusters representing the road segments. Second, we propose an adaptive k-means algorithm that the k value is determined by an angle threshold to reconstruct nearly straight line segments. Third, the line segments are grouped according to the ‘Good Continuity’ principle of Gestalt Law to form a ‘Stroke’ for recovering the road map. Experimental results demonstrate that our algorithm is robust to noises and sampling rates. In comparison with previous work, our method has advantages to infer road maps from sparsely sampled GPS traces.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"10 1","pages":"111 - 124"},"PeriodicalIF":2.3,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2016.1183053","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60103292","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":"MobiLAudio – a multimodal content delivery platform for geo-services","authors":"K. Gardiner, C. Cullen, J. Carswell","doi":"10.1080/17489725.2015.1119319","DOIUrl":"https://doi.org/10.1080/17489725.2015.1119319","url":null,"abstract":"Abstract Delivering high-quality context-relevant information in a timely manner is a priority for location-based services (LBS) where applications require an immediate response based on spatial interaction. Previous work in this area typically focused on ever more accurately determining this interaction and informing the user in the customary graphical way using the visual modality. This paper describes the research area of multimodal LBS and focuses on audio as the key delivery mechanism. This new research extends familiar graphical information delivery by introducing a geoservices platform for delivering multimodal content and navigation services. It incorporates a novel auditory user interface (AUI) that enables delivery of natural language directions and rich media content using audio. This unifying concept provides a hands-free modality for navigating a mapped space while simultaneously enjoying rich media content that is dynamically constructed using such mechanisms as algorithmic music and phrase synthesis to generate task-relevant content based on the path taken. This paper outlines the innovative ideas employed in the design of the AUI and details the geoservices platform developed for facilitating the authoring and delivery of multimodal LBS applications. The paper concludes with a discussion on the results of a live user trial. The results are analysed and presented to validate the original hypothesis for this approach, address the research questions outlined and to inform further research directions. The results show that the proposed solution significantly progresses the state-of-the-art in terms of mobile tour production. The results also show that an AUI is an effective modality for the delivery of audio content and natural directions when used in combination with a graphical user interface, producing significantly reduced overheads in terms of content size and network usage. The results also indicate that the AUI provides a good overall user experience, performing well in the user trial.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"3 1","pages":"110 - 79"},"PeriodicalIF":2.3,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2015.1119319","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60103134","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}