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Journal articles on the topic 'Indoor location support system'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

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1

Álvarez-Díaz, Néstor, and Pino Caballero-Gil. "Decision Support System Based on Indoor Location for Personnel Management." Remote Sensing 13, no. 2 (2021): 248. http://dx.doi.org/10.3390/rs13020248.

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A wide variety of business areas organize their work based on the location of their employees because only by taking these locations into account, they can schedule activities properly. However, in a large number of cases, the requirement of immediacy, such as the need to help an injured person in a hospital or to dry up water in a busy hallway to prevent people from slipping, is a major constraint. This work is based on a proof of concept in which we used Bluetooth Low Energy devices to track the location of each employee in an indoor environment. Among other factors, the location of each ind

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Claridades, Alexis Richard C., and Jiyeong Lee. "Developing a Data Model of Indoor Points of Interest to Support Location-Based Services." Journal of Sensors 2020 (August 1, 2020): 1–16. http://dx.doi.org/10.1155/2020/8885384.

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Focus on indoor spatial applications has been rising with the growing interest in indoor spaces. Along with the widespread use of mobile devices and the internet, it has increased demands for indoor location-based services (LBS), demanding more efficient representation and management of indoor spatial data. Indoor points of interest (Indoor POI) data, representing both spaces and facilities located indoors, provide the infrastructure for these services. These datasets are vital in delivering timely and accurate information to users, such as in cases of managing indoor facilities. However, even

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Shi, Ke, Zhenjie Ma, Rentong Zhang, Wenbiao Hu, and Hongsheng Chen. "Support Vector Regression Based Indoor Location in IEEE 802.11 Environments." Mobile Information Systems 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/295652.

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The wide spread of the 802.11-based wireless technology brings about a good opportunity for the indoor positioning system. In this paper, we present a new 802.11-based indoor positioning method using support vector regression (SVR), which consists of offline training stage and online location stage. The model that describes the relations between the position and the received signal strength (RSS) of the mobile device is established at the offline training stage by SVR, and at the online location stage the exact position is determined by this model. Due to the complex indoor environment, RSS is

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Tabbakha, Nour Eddin, Chee Pun Ooi, Wooi Haw Tan, and Yi-Fei Tan. "A wearable device for machine learning based elderly's activity tracking and indoor location system." Bulletin of Electrical Engineering and Informatics 10, no. 2 (2021): 927–39. http://dx.doi.org/10.11591/eei.v10i2.2737.

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The number of older people is increasing in many countries. By 2030, it is estimated that 15% of the overall population will be comprised of people aged 65 and above. Hence, the monitoring and tracking of elder activities to ensure they live an active life has become a major research topic in recent years. In this work, an elderly sub-activity tracking system is developed to detect the sub-activity of the elderly based on their physical activities and indoor location. The physical activities tracking system and indoor location system is combined in this project to enhance the context of the el

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Akgül, Batur Alp, Bülent HAZNEDAR, Abdurrahman YAŞAR, and Mustafa Ersan ÇİNKILIÇ. "A INDOOR POSITION ROUTING (IPR) AND DATA MONITOR USING BLUETOOTH LOW ENERGY TECHNOLOGY (iBEACON-BLE): AN IMPLEMENTATION STUDY." ICONTECH INTERNATIONAL JOURNAL 5, no. 1 (2021): 38–61. http://dx.doi.org/10.46291/icontechvol5iss1pp38-61.

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Rapid advancements in mobile industry have emerged new technological ideas and applications for researchers by allowing smart devices over the last decade. In recent years, the need for Indoor Position Routing (IPR) and Location-Based Advertisements (LBA) systems are increasingly common, IPR and LBA systems have been becoming very popular. Nowadays, it has become possible to create software and hardware applications for IPR and LBA in indoor environments, thanks to developments of different technologies. The development of the system should be based on low-cost technology, it should be suitabl

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López-Pastor, José-Antonio, Antonio-Jesús Ruiz-Ruiz, Antonio-Javier García-Sánchez, and José-Luis Gómez-Tornero. "An Automatized Contextual Marketing System Based on a Wi-Fi Indoor Positioning System." Sensors 21, no. 10 (2021): 3495. http://dx.doi.org/10.3390/s21103495.

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A complete contextual marketing platform including an indoor positioning system (IPS) for smartphones is proposed and evaluated to later be deployed in large infrastructures, such as malls. To this end, we design and implement a novel methodology based on location-as-a-service (LAAS), comprising all the required phases of IPS generation: mall digital map creation, the tools/procedures for offline calibration fingerprint acquisition, the location algorithm, the smartphone app acquiring the fingerprint data, and a validation procedure. To select an appropriate fingerprint location algorithm, a c

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Abidin, Dodo Zaenal, Siti Nurmaini, Erwin, Errissya Rasywir, and Yovi Pratama. "Indoor Positioning System in Learning Approach Experiments." Journal of Electrical and Computer Engineering 2021 (August 2, 2021): 1–16. http://dx.doi.org/10.1155/2021/6592562.

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The positioning system research strongly supports the development of location-based services used by related business organizations. However, location-based services with user experience still have many obstacles to overcome, including how to maintain a high level of position accuracy. From the literature studies reviewed, it is necessary to develop an indoor positioning system using fingerprinting based on Received Signal Strength (RSS). So far, the testing of the indoor positioning system has been carried out with an algorithm. But, in this research, with the proposed parameters, we will con

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Yang, Y., C. Toth, and D. Brzezinska. "A 3D MAP AIDED DEEP LEARNING BASED INDOOR LOCALIZATION SYSTEM FOR SMART DEVICES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2020 (August 25, 2020): 391–97. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2020-391-2020.

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Abstract. Indoor positioning technologies represent a fast developing field of research due to the rapidly increasing need for indoor location-based services (ILBS); in particular, for applications using personal smart devices. Recently, progress in indoor mapping, including 3D modeling and semantic labeling started to offer benefits to indoor positioning algorithms; mainly, in terms of accuracy. This work presents a method for efficient and robust indoor localization, allowing to support applications in large-scale environments. To achieve high performance, the proposed concept integrates two

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Zhang, Wei, Xianghong Hua, Kegen Yu, Weining Qiu, Shoujian Zhang, and Xiaoxing He. "A novel WiFi indoor positioning strategy based on weighted squared Euclidean distance and local principal gradient direction." Sensor Review 39, no. 1 (2019): 99–106. http://dx.doi.org/10.1108/sr-06-2017-0109.

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Purpose This paper aims to introduce the weighted squared Euclidean distance between points in signal space, to improve the performance of the Wi-Fi indoor positioning. Nowadays, the received signal strength-based Wi-Fi indoor positioning, a low-cost indoor positioning approach, has attracted a significant attention from both academia and industry. Design/methodology/approach The local principal gradient direction is introduced and used to define the weighting function and an average algorithm based on k-means algorithm is used to estimate the local principal gradient direction of each access

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Maneerat, Kriangkrai, and Kamol Kaemarungsi. "Robust System Design Using BILP for Wireless Indoor Positioning Systems." Mobile Information Systems 2018 (March 25, 2018): 1–19. http://dx.doi.org/10.1155/2018/4198504.

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In wireless indoor positioning system designs, reference node (RN) failures during the online phase cause received signal strength values to be unavailable. This leads to accuracy performance degradation and a lack of system reliability in smart office systems. Moreover, the major design concern in the reliability of indoor positioning systems under the faulty RNs during the online phase has not been yet investigated in previous works. To address these gaps, we propose a novel mathematical formulation using a Binary Integer Linear Programming (BILP) approach that employs the Simulated Annealin

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Maneerat, Kriangkrai, and Kamol Kaemarungsi. "RoC: Robust and Low-Complexity Wireless Indoor Positioning Systems for Multifloor Buildings Using Location Fingerprinting Techniques." Mobile Information Systems 2019 (February 3, 2019): 1–22. http://dx.doi.org/10.1155/2019/5089626.

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Most existing wireless indoor positioning systems have only success performance requirements in normal operating situations whereby all wireless equipment works properly. There remains a lack of system reliability that can support emergency situations when there are some reference node failures, such as in earthquake and fire scenarios. Additionally, most systems do not incorporate environmental information such as temperature and relative humidity level into the process of determining the location of objects inside the building. To address these gaps, we propose a novel integrated framework f

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Tesoriero, R., J. Gallud, M. Lozano, and V. Penichet. "Using active and passive RFID technology to support indoor location-aware systems." IEEE Transactions on Consumer Electronics 54, no. 2 (2008): 578–83. http://dx.doi.org/10.1109/tce.2008.4560133.

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Joana Halder, Sharly, and Wooju Kim. "A Fusion Approach of RSSI and LQI for Indoor Localization System Using Adaptive Smoothers." Journal of Computer Networks and Communications 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/790374.

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Due to the ease of development and inexpensiveness, indoor localization systems are getting a significant attention but, with recent advancement in context and location aware technologies, the solutions for indoor tracking and localization had become more critical. Ranging methods play a basic role in the localization system, in which received signal strength indicator- (RSSI-) based ranging technique gets the most attraction. To predict the position of an unknown node, RSSI measurement is an easy and reliable method for distance estimation. In indoor environments, the accuracy of the RSSI-bas

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NISHIMURA, Takahiro, Yoshifumi NISHIDA, Koji KITAMURA, and Hiroshi MIZOGUCHI. "3A1-W09 Bedside and Indoor Location System for Patient's-State-Considered Nursing Care Support(Digital Human)." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2014 (2014): _3A1—W09_1—_3A1—W09_3. http://dx.doi.org/10.1299/jsmermd.2014._3a1-w09_1.

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Liu, Xiaoyu, Shirley J. Dyke, Chul Min Yeum, Ilias Bilionis, Ali Lenjani, and Jongseong Choi. "Automated Indoor Image Localization to Support a Post-Event Building Assessment." Sensors 20, no. 6 (2020): 1610. http://dx.doi.org/10.3390/s20061610.

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Image data remains an important tool for post-event building assessment and documentation. After each natural hazard event, significant efforts are made by teams of engineers to visit the affected regions and collect useful image data. In general, a global positioning system (GPS) can provide useful spatial information for localizing image data. However, it is challenging to collect such information when images are captured in places where GPS signals are weak or interrupted, such as the indoor spaces of buildings. The inability to document the images’ locations hinders the analysis, organizat

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Adege, Abebe Belay, Hsin-Piao Lin, Getaneh Berie Tarekegn, Yirga Yayeh Munaye, and Lei Yen. "An Indoor and Outdoor Positioning Using a Hybrid of Support Vector Machine and Deep Neural Network Algorithms." Journal of Sensors 2018 (December 16, 2018): 1–12. http://dx.doi.org/10.1155/2018/1253752.

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Indoor and outdoor positioning lets to offer universal location services in industry and academia. Wi-Fi and Global Positioning System (GPS) are the promising technologies for indoor and outdoor positioning, respectively. However, Wi-Fi-based positioning is less accurate due to the vigorous changes of environments and shadowing effects. GPS-based positioning is also characterized by much cost, highly susceptible to the physical layouts of equipment, power-hungry, and sensitive to occlusion. In this paper, we propose a hybrid of support vector machine (SVM) and deep neural network (DNN) to deve

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Zou, Han, Lihua Xie, Qing-Shan Jia, and Hengtao Wang. "Platform and Algorithm Development for a RFID-Based Indoor Positioning System." Unmanned Systems 02, no. 03 (2014): 279–91. http://dx.doi.org/10.1142/s2301385014400068.

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In recent years, developing Indoor Positioning System (IPS) has become an attractive research topic due to the increasing demands on Location-Based Service (LBS) in indoor environment. Several advantages of Radio Frequency Identification (RFID) Technology, such as anti-interference, small, light and portable size of RFID tags, and its unique identification of different objects, make it superior to other wireless communication technologies for indoor positioning. However, certain drawbacks of existing RFID-based IPSs, such as high cost of RFID readers and active tags, as well as heavy dependenc

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Subhan, Fazli, Sajid Saleem, Haseeb Bari, et al. "Linear Discriminant Analysis-Based Dynamic Indoor Localization Using Bluetooth Low Energy (BLE)." Sustainability 12, no. 24 (2020): 10627. http://dx.doi.org/10.3390/su122410627.

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Due to recent advances in wireless gadgets and mobile computing, the location-based services have attracted the attention of computing and telecommunication industries to launch location-based fast and accurate localization systems for tracking, monitoring and navigation. Traditional lateration-based techniques have limitations, such as localization error, and modeling of distance estimates from received signals. Fingerprinting based tracking solutions are also environment dependent. On the other side, machine learning-based techniques are currently attracting industries for developing trackin

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Basri, C., and A. Elkhadimi. "A REVIEW ON INDOOR LOCALIZATION WITH INTERNET OF THINGS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIV-4/W3-2020 (November 23, 2020): 121–28. http://dx.doi.org/10.5194/isprs-archives-xliv-4-w3-2020-121-2020.

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Abstract. The advancement of Internet of things (IoT) has revolutionized the field of telecommunication opening the door for interesting applications such as smart cities, resources management, logistics and transportation, wearables and connected healthcare. The emergence of IoT in multiple sectors has enabled the requirement for an accurate real time location information. Location-based services are actually, due to development of networks, sensors, wireless communications and machine learning algorithms, able to collect and transmit data in order to determine the target positions, and suppo

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Polak, Ladislav, Stanislav Rozum, Martin Slanina, Tomas Bravenec, Tomas Fryza, and Aggelos Pikrakis. "Received Signal Strength Fingerprinting-Based Indoor Location Estimation Employing Machine Learning." Sensors 21, no. 13 (2021): 4605. http://dx.doi.org/10.3390/s21134605.

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The fingerprinting technique is a popular approach to reveal location of persons, instruments or devices in an indoor environment. Typically based on signal strength measurement, a power level map is created first in the learning phase to align with measured values in the inference. Second, the location is determined by taking the point for which the recorded received power level is closest to the power level actually measured. The biggest limit of this technique is the reliability of power measurements, which may lack accuracy in many wireless systems. To this end, this work extends the power

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Carlin, Sean, and Kevin Curran. "An Active Low Cost Mesh Networking Indoor Tracking System." International Journal of Ambient Computing and Intelligence 6, no. 1 (2014): 45–79. http://dx.doi.org/10.4018/ijaci.2014010104.

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Indoor radio frequency tracking systems are generally quite expensive and can vary in accuracy due to interference, equipment quality or other environmental factors. Due to these limiting factors of the technology, many businesses today find it hard to justify investing in RFID tracking technologies to improve the safety, efficiency and security of their working environments. The aim of this project was to provide a budget RFID tracking system that was capable of tracking a person or object through an indoor environment. To minimize the cost of the RFID tracking system, the components of the s

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Dai, Peng, Yuan Yang, Manyi Wang, and Ruqiang Yan. "Combination of DNN and Improved KNN for Indoor Location Fingerprinting." Wireless Communications and Mobile Computing 2019 (March 6, 2019): 1–9. http://dx.doi.org/10.1155/2019/4283857.

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Fingerprinting based on Wi-Fi Received Signal Strength Indicator (RSSI) has been widely studied in recent years for indoor localization. While current algorithms related to RSSI Fingerprinting show a much lower accuracy than multilateration based on time of arrival or the angle of arrival techniques, they highly depend on the number of access points (APs) and fingerprinting training phase. In this paper, we present an integrated method by combining the deep neural network (DNN) with improved K-Nearest Neighbor (KNN) algorithm for indoor location fingerprinting. The improved KNN is realized by

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Alshattnawi, Sawsan. "Building Tour Plan and Navigation System in Art Museum using Dijkstra Algorithm based on Geo-coded QR codes and Cloud Computing." International Journal of Advanced Pervasive and Ubiquitous Computing 6, no. 2 (2014): 1–13. http://dx.doi.org/10.4018/ijapuc.2014040101.

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Several technologies have been proposed to support the indoor positioning and navigation. Some of these technologies are combined together to achieve a correct and accurate positioning. The used technologies for indoor navigation such as the RFID and the infrared combined with Wi-Fi have many problems; all these technologies need hardware installation which is costly and restrict, sometimes, the user to have additional hardware on his smartphone. In this paper, we will use Geo-coded QR codes because it is free cost technology for user's positioning. The QR codes have many benefits and it will

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Thakur, Nirmalya, and Chia Y. Han. "Multimodal Approaches for Indoor Localization for Ambient Assisted Living in Smart Homes." Information 12, no. 3 (2021): 114. http://dx.doi.org/10.3390/info12030114.

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This work makes multiple scientific contributions to the field of Indoor Localization for Ambient Assisted Living in Smart Homes. First, it presents a Big-Data driven methodology that studies the multimodal components of user interactions and analyzes the data from Bluetooth Low Energy (BLE) beacons and BLE scanners to detect a user’s indoor location in a specific ‘activity-based zone’ during Activities of Daily Living. Second, it introduces a context independent approach that can interpret the accelerometer and gyroscope data from diverse behavioral patterns to detect the ‘zone-based’ indoor

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Dhatchayeny, Durai Rajan, Sudhanshu Arya, and Yeon Ho Chung. "Patient Mobility Support for Indoor Non-Directed Optical Body Area Networks." Sensors 19, no. 10 (2019): 2297. http://dx.doi.org/10.3390/s19102297.

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In this paper, a patient mobility support scheme for indoor non-directed optical body area networks (OBAN) is presented. The OBAN is an optical healthcare system where medical sensors are installed on various parts of the patient’s body and are connected to an optical coordinator for transmitting the physiological signals via optical wireless links. In the proposed scheme, a white light-emitting diode (LED) was employed as the optical coordinator that was mounted on the patient body, while a photodetector (PD) was used as the receiver installed at the ceiling. We considered three practical mob

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El Boudani, Brahim, Loizos Kanaris, Akis Kokkinis, et al. "Implementing Deep Learning Techniques in 5G IoT Networks for 3D Indoor Positioning: DELTA (DeEp Learning-Based Co-operaTive Architecture)." Sensors 20, no. 19 (2020): 5495. http://dx.doi.org/10.3390/s20195495.

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In the near future, the fifth-generation wireless technology is expected to be rolled out, offering low latency, high bandwidth and multiple antennas deployed in a single access point. This ecosystem will help further enhance various location-based scenarios such as assets tracking in smart factories, precise smart management of hydroponic indoor vertical farms and indoor way-finding in smart hospitals. Such a system will also integrate existing technologies like the Internet of Things (IoT), WiFi and other network infrastructures. In this respect, 5G precise indoor localization using heteroge

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Jiang, Yifei, Kun Li, Ricardo Piedrahita, et al. "User-Centric Indoor Air Quality Monitoring on Mobile Devices." AI Magazine 34, no. 2 (2013): 11. http://dx.doi.org/10.1609/aimag.v34i2.2472.

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Since people spend a majority of their time indoors, indoor air quality (IAQ) can have a significant impact on human health, safety, productivity, and comfort. Due to the diversity and dynamics of people's indoor activities, it is important to monitor IAQ for each individual. Most existing air quality sensing systems are stationary or focus on outdoor air quality. In contrast, we propose MAQS, a user-centric mobile sensing system for IAQ monitoring. MAQS users carry portable, indoor location tracking and IAQ sensing devices that provide personalized IAQ information in real time. To improve acc

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Li, Ki-Joune. "INDOORGML – A STANDARD FOR INDOOR SPATIAL MODELING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 14, 2016): 701–4. http://dx.doi.org/10.5194/isprsarchives-xli-b4-701-2016.

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With recent progress of mobile devices and indoor positioning technologies, it becomes possible to provide location-based services in indoor space as well as outdoor space. It is in a seamless way between indoor and outdoor spaces or in an independent way only for indoor space. However, we cannot simply apply spatial models developed for outdoor space to indoor space due to their differences. For example, coordinate reference systems are employed to indicate a specific position in outdoor space, while the location in indoor space is rather specified by cell number such as room number. Unlike o

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Li, Ki-Joune. "INDOORGML – A STANDARD FOR INDOOR SPATIAL MODELING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 14, 2016): 701–4. http://dx.doi.org/10.5194/isprs-archives-xli-b4-701-2016.

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With recent progress of mobile devices and indoor positioning technologies, it becomes possible to provide location-based services in indoor space as well as outdoor space. It is in a seamless way between indoor and outdoor spaces or in an independent way only for indoor space. However, we cannot simply apply spatial models developed for outdoor space to indoor space due to their differences. For example, coordinate reference systems are employed to indicate a specific position in outdoor space, while the location in indoor space is rather specified by cell number such as room number. Unlike o

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Liu, Wen, Xu Wang, and Zhongliang Deng. "CSI Amplitude Fingerprinting for Indoor Localization with Dictionary Learning." Entropy 23, no. 9 (2021): 1164. http://dx.doi.org/10.3390/e23091164.

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With the rapid growth of the demand for location services in the indoor environment, fingerprint-based indoor positioning has attracted widespread attention due to its high-precision characteristics. This paper proposes a double-layer dictionary learning algorithm based on channel state information (DDLC). The DDLC system includes two stages. In the offline training stage, a two-layer dictionary learning architecture is constructed for the complex conditions of indoor scenes. In the first layer, for the input training data of different regions, multiple sub-dictionaries are generated correspon

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Firdaus, Firdaus, Noor Azurati Ahmad, and Shamsul Sahibuddin. "A Review of Hybrid Indoor Positioning Systems Employing WLAN Fingerprinting and Image Processing." International journal of electrical and computer engineering systems 10, no. 2 (2020): 59–72. http://dx.doi.org/10.32985/ijeces.10.2.2.

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Location-based services (LBS) are a significant permissive technology. One of the main components in indoor LBS is the indoor positioning system (IPS). IPS utilizes many existing technologies such as radio frequency, images, acoustic signals, as well as magnetic sensors, thermal sensors, optical sensors, and other sensors that are usually installed in a mobile device. The radio frequency technologies used in IPS are WLAN, Bluetooth, Zig Bee, RFID, frequency modulation, and ultra-wideband. This paper explores studies that have combined WLAN fingerprinting and image processing to build an IPS. T

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Vochin, Marius, Alexandru Vulpe, Laurentiu Boicescu, Serban Georgica Obreja, and George Suciu. "An Intelligent Low-Power Displaying System with Integrated Emergency Alerting Capability." Sensors 19, no. 3 (2019): 666. http://dx.doi.org/10.3390/s19030666.

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Integrated communication infrastructure has become a must-have facility for modernpublic buildings and offices. To cover this need, several commercial products exist on the market,but most of them require advanced technical skill to operate, while others require manual and timeconsumingoperations. This work proposes an intelligent displaying and alerting system (calledSICIAD), implemented over an integrated communication infrastructure with support for wirelessePaper and iBeacon technologies to enhance displaying static and dynamic information, as well asto ease the indoor orientation of guest

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Li, Xianmin, Zihong Yan, Linyi Huang, Shihuan Chen, and Manxi Liu. "High-Accuracy and Real-Time Indoor Positioning System Based on Visible Light Communication and Mobile Robot." International Journal of Optics 2020 (November 5, 2020): 1–11. http://dx.doi.org/10.1155/2020/3124970.

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For mobile robots and location-based services, precise and real-time positioning is one of the most basic capability, and low-cost positioning solutions are increasingly in demand and have broad market potential. In this paper, we innovatively design a high-accuracy and real-time indoor localization system based on visible light positioning (VLP) and mobile robot. First of all, we design smart LED lamps with VLC and Bluetooth control functions for positioning. The design of LED lamps includes hardware design and Bluetooth control. Furthermore, founded on the loose coupling characteristics of R

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Nishimura, Takahiro, Kitamura Koji, Yoshifumi Nishida, and Hiroshi Mizoguchi. "Development of a Nursing Care Support System that Seamlessly Monitors Both Bedside and Indoor Locations." Procedia Manufacturing 3 (2015): 4906–13. http://dx.doi.org/10.1016/j.promfg.2015.07.623.

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Ma, Wei, Shuai Zhang, and Jincai Huang. "Mobile augmented reality based indoor map for improving geo-visualization." PeerJ Computer Science 7 (September 2, 2021): e704. http://dx.doi.org/10.7717/peerj-cs.704.

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Unlike traditional visualization methods, augmented reality (AR) inserts virtual objects and information directly into digital representations of the real world, which makes these objects and data more easily understood and interactive. The integration of AR and GIS is a promising way to display spatial information in context. However, most existing AR-GIS applications only provide local spatial information in a fixed location, which is exposed to a set of problems, limited legibility, information clutter and the incomplete spatial relationships. In addition, the indoor space structure is comp

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De Cock, Laure, Kristien Ooms, Nico Van de Weghe, and Philippe De Maeyer. "Linking perception to decision point complexity for adaptive indoor wayfinding support." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-55-2019.

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<p><strong>Abstract.</strong> Outdoors, navigation aids are widely used. Indoors, on the other hand, these systems are not yet common practice, because it requires another more elaborate positioning method and the environments are more complex. Especially in complex buildings, wayfinding can be challenging and induce a rise in cognitive load. To reduce cognitive load, indoor wayfinding aids have to be adapted to both the architecture of the building and the requirements of the users.</p><p> To facilitate this adaptation, first of all, the complexity of a building

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Choi, Yunyoung, Jaehyung Park, Jiwon Jung, and Younggoo Kwon. "Collision Avoidance Geographic P2P-RPL in Multi-Hop Indoor Wireless Networks." Electronics 10, no. 12 (2021): 1484. http://dx.doi.org/10.3390/electronics10121484.

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In home and building automation applications, wireless sensor devices need to be connected via unreliable wireless links within a few hundred milliseconds. Routing protocols in Low-power and Lossy Networks (LLNs) need to support reliable data transmission with an energy-efficient manner and short routing convergence time. IETF standardized the Point-to-Point RPL (P2P-RPL) routing protocol, in which P2P-RPL propagates the route discovery messages over the whole network. This leads to significant routing control packet overhead and a large amount of energy consumption. P2P-RPL uses the trickle a

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Sang, Shengbo, Ruiyong Zhai, Wendong Zhang, Qirui Sun, and Zhaoying Zhou. "A self-developed indoor three-dimensional pedestrian localization platform based on MEMS sensors." Sensor Review 35, no. 2 (2015): 157–67. http://dx.doi.org/10.1108/sr-07-2014-682.

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Purpose – This study aims to design a new low-cost localization platform for estimating the location and orientation of a pedestrian in a building. The micro-electro-mechanical systems (MEMS) sensor error compensation and the algorithm were improved to realize the localization and altitude accuracy. Design/methodology/approach – The platform hardware was designed with common low-performance and inexpensive MEMS sensors, and with a barometric altimeter employed to augment altitude measurement. The inertial navigation system (INS) – extended Kalman filter (EKF) – zero-velocity updating (ZUPT) (I

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Fortes, Sergio, Carlos Baena, Javier Villegas, Eduardo Baena, Muhammad Zeeshan Asghar, and Raquel Barco. "Location-Awareness for Failure Management in Cellular Networks: An Integrated Approach." Sensors 21, no. 4 (2021): 1501. http://dx.doi.org/10.3390/s21041501.

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Recent years have seen the proliferation of different techniques for outdoor and, especially, indoor positioning. Still being a field in development, localization is expected to be fully pervasive in the next few years. Although the development of such techniques is driven by the commercialization of location-based services (e.g., navigation), its application to support cellular management is considered to be a key approach for improving its resilience and performance. When different approaches have been defined for integrating location information into the failure management activities, they

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Hung, Lun-Ping, Weidong Huang, Jhih-Yu Shih, and Chien-Liang Liu. "A Novel IoT Based Positioning and Shadowing System for Dementia Training." International Journal of Environmental Research and Public Health 18, no. 4 (2021): 1610. http://dx.doi.org/10.3390/ijerph18041610.

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A rapid increase in the number of patients with dementia, particularly memory decline or impairment, has led to the loss of self-care ability in more individuals and increases in medical and social costs. Numerous studies, and clinical service experience, have revealed that the intervention of nonpharmacological management for people with dementia is effective in delaying the degeneration caused by dementia. Due to recent rapid developments in information and communications technology, many innovative research and development and cross-domain applications have been effectively used in the deme

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Fathy, Heba, Reda Elbasiony, and Mohamed Talaat Faheem. "Finding a Parked Car Location in a Multi-Storey Building without GPS Service." International Journal of Interactive Mobile Technologies (iJIM) 14, no. 10 (2020): 7. http://dx.doi.org/10.3991/ijim.v14i10.14385.

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<p class="0abstract">This paper introduces a new approach named ‘Find My Parked Car’ to provide the user with the return way for his parked car location in the indoor garage of a multi-storey building where GPS is denied using the acquisition data obtained from the inertial sensors on smart devices such as smartphones. We build up a system that employs Pedestrian Dead-Reckoning Technique (PDR) to track the user inside the building. This approach harness the environment landmarks for floors separation and the PDR paths’ landmarks to enhance them by applying the Kalman Filter. Then we prun

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Liu, Jiping, Yong Wang, Mengmeng Liu, Shenghua Xu, Tao Jiang, and Yang Gu. "The Integrated Disaster Reduction Intelligent Service System and its Application." Proceedings of the ICA 2 (July 10, 2019): 1–7. http://dx.doi.org/10.5194/ica-proc-2-76-2019.

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<p><strong>Abstract.</strong> Geo-spatial information technology can provide data resources, positioning benchmarks, basic framework and key technologies for disaster prevention and reduction. At present, there are some problems in China’s disaster reduction services. Too much focus is placed on decision-making but not on early warning. In addition, the integration of technology, system and application of disaster reduction services is not enough. There is still a lack of a unified understanding an integrated disaster reduction intelligent service system. In order to provide

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González-deSantos, L. M., J. Martínez-Sánchez, H. González-Jorge, and P. Arias. "PATH PLANNING FOR INDOOR CONTACT INSPECTION TASKS WITH UAVS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2020 (August 25, 2020): 345–51. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2020-345-2020.

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Abstract. UAV technology has become a useful tool for the inspection of infrastructures. Structural Health Monitoring methods are already implementing these vehicles to obtain information about the condition of the structure. Several systems based on close range remote sensing and contact sensors have been developed. In both cases, in order to perform autonomous missions in hard accessible areas or with obstacles, a path planning algorithm that calculates the trajectory to be followed by the UAV to navigate these areas is mandatory. This works presents a UAV path planning algorithm developed t

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Arbula, Damir, and Sandi Ljubic. "Indoor Localization Based on Infrared Angle of Arrival Sensor Network." Sensors 20, no. 21 (2020): 6278. http://dx.doi.org/10.3390/s20216278.

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Accurate, inexpensive, and reliable real-time indoor localization holds the key to the full potential of the context-aware applications and location-based Internet of Things (IoT) services. State-of-the-art indoor localization systems are coping with the complex non-line-of-sight (NLOS) signal propagation which hinders the use of proven multiangulation and multilateration methods, as well as with prohibitive installation costs, computational demands, and energy requirements. In this paper, we present a novel sensor utilizing low-range infrared (IR) signal in the line-of-sight (LOS) context pro

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Khan, Amjad, Asfandyar Khan, Javed Iqbal Bangash, et al. "Cuckoo Search-based SVM (CS-SVM) Model for Real-Time Indoor Position Estimation in IoT Networks." Security and Communication Networks 2021 (March 19, 2021): 1–7. http://dx.doi.org/10.1155/2021/6654926.

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Internet of Things (IoT), an emerging technology, is becoming an essential part of today’s world. Machine learning (ML) algorithms play an important role in various applications of IoT. For decades, the location information has been extremely useful for humans to navigate both in outdoor and indoor environments. Wi-Fi access point-based indoor positioning systems get more popularity, as it avoids extra calibration expenses. The fingerprinting technique is preferred in an indoor environment as it does not require a signal’s Line of Sight (LoS). It consists of two phases: offline and online phas

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Deng, Wang, Zheng, et al. "A Closed-Form Localization Algorithm and GDOP Analysis for Multiple TDOAs and Single TOA Based Hybrid Positioning." Applied Sciences 9, no. 22 (2019): 4935. http://dx.doi.org/10.3390/app9224935.

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Cellular communication systems support mobile phones positioning function for Enhanced-911 (E-911) location requirements, but the positioning accuracy is poor. The fifth-generation (5G) cellular communication system can use indoor distribution systems to provide accurate multiple time-difference-of-arrival (TDOA) and single time-of-arrival (TOA) measurements, which could significantly improve the indoor positioning ability. Unlike iterative localization algorithms for TDOA or TOA, the existing closed-form algorithms, such as the Chan-Ho algorithm, do not have convergence problems, but can only

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Dell'Anna, Federico, Marta Bottero, Cristina Becchio, Stefano Paolo Corgnati, and Giulio Mondini. "Designing a decision support system to evaluate the environmental and extra-economic performances of a nearly zero-energy building." Smart and Sustainable Built Environment 9, no. 4 (2020): 413–42. http://dx.doi.org/10.1108/sasbe-09-2019-0121.

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PurposeThe cost-optimal analysis is not able to address the multi-dimensionality of the decision according to the new European objectives and International sustainable development goals in the field of the nearly-zero energy building (NZEB) design. The purpose of this paper is to study the role of multi-criteria decision analysis (MCDA) for guiding energy investment decisions.Design/methodology/approachThe paper explores the Preference ranking organization method for enrichment of evaluations II (PROMETHEE II) application to support the project of transforming a rural building into a NZEB. The

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Rana, Soumya, Maitreyee Dey, Mohammad Ghavami, and Sandra Dudley. "Signature Inspired Home Environments Monitoring System Using IR-UWB Technology." Sensors 19, no. 2 (2019): 385. http://dx.doi.org/10.3390/s19020385.

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Home monitoring and remote care systems aim to ultimately provide independent living care scenarios through non-intrusive, privacy-protecting means. Their main aim is to provide care through appreciating normal habits, remotely recognizing changes and acting upon those changes either through informing the person themselves, care providers, family members, medical practitioners, or emergency services, depending on need. Care giving can be required at any age, encompassing young to the globally growing aging population. A non-wearable and unobtrusive architecture has been developed and tested he

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Mascitelli, A., M. Ravanelli, S. Mattoccia, C. Berardocco, and A. Mazzoni. "A COMPLETE FOS APPROACH FOR INDOOR CROWDSOURCED MAPPING: CASE STUDY ON SAPIENZA UNIVERSITY OF ROME FACULTIES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2020 (August 25, 2020): 361–65. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2020-361-2020.

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Abstract. Indoor mapping is an essential process in several applications such as the visualization of space and its utilization, security and resource planning, emergency planning and location-based alerts and, last but not least, indoor navigation. In this work, a completely free and open-source (FOS) approach to map indoor environments, and to navigate through them, is presented. Our tests were carried out within Sapienza University of Rome public buildings; in detail, Letters and Philosophy faculty and Engineering faculty indoor environments were mapped. To reach this goal, only open source

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Stepanov, E. V., D. V. Tarakanov, and N. G. Topolskiy. "The wave algorithm used to determine the optimal indoor route for smoke divers in case of fire and fumigation." Pozharovzryvobezopasnost/Fire and Explosion Safety 30, no. 3 (2021): 31–40. http://dx.doi.org/10.22227/0869-7493.2021.30.03.31-40.

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Introduction. One of the main objectives, pursued by the information analysis support extended to smoke divers, is the preparation of indoor routes. Technical capabilities, represented by advanced remote monitoring systems, provide a fire extinguishing manager with the necessary information about the point of fire origin and mathematical tools allow to predict fire spreading characteristics. The goal of this work is to develop an algorithm for the preparation of an optimal indoor route for smoke divers to support management decisions in the event of fire. To achieve this goal, it is necessary

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