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Indoor Position Detection Using Smartwatch and Beacons

Sittichai Sukreep, Chakarida Nukoolkit, Pornchai Mongkolnam
2020 Sensors and materials  
Data mining techniques were applied to classify indoor positioning zones. A noise reduction process combining two data smoothing techniques was incorporated.  ...  To help assist those who live alone, we propose a monitoring system to detect indoor position by using a smartwatch and beacons, which are effective and low cost, easy to install, convenient, and unobtrusive  ...  Anthony French for English proofreading and all the volunteers involved in our data collection.  ... 
doi:10.18494/sam.2020.2386 fatcat:oevrjrrhc5fhrhlbewldab3sj4

An Ensemble Filter for Indoor Positioning in a Retail Store Using Bluetooth Low Energy Beacons

Vasilis Stavrou, Cleopatra Bardaki, Dimitris Papakyriakopoulos, Katerina Pramatari
2019 Sensors  
The ultimate purpose of this study was to compare the different indoor positioning techniques towards achieving efficient position determination of moving customers in the retail store.  ...  This paper has developed and deployed a Bluetooth Low Energy (BLE) beacon-based indoor positioning system in a two-floor retail store.  ...  They do not compare and evaluate different techniques or even combine them to aim for higher efficiency in indoor positioning.  ... 
doi:10.3390/s19204550 fatcat:6wkyek6wsrhgborokt67f65rti

A Small World Graph Approach for an Efficient Indoor Positioning System

Max Lima, Leonardo Guimarães, Eulanda Santos, Edleno Moura, Rafael Costa, Marco Levorato, Horácio Oliveira
2021 Sensors  
The main goal of an Indoor Positioning System (IPS) is to estimate the position of mobile devices in indoor environments.  ...  Our results clearly show the performance gains of the proposed solution at 98% when compared to the classic kNN and at least 80% when compared to tree-based approaches.  ...  SmartCampus Indoor Positioning Dataset The second dataset used in our performance evaluation was based on our real-world indoor positioning testbed.  ... 
doi:10.3390/s21155013 fatcat:mvbsiyt5lfhzvnsm3rm4xbdkaa

Advanced Sensors and Systems Technologies for Indoor Positioning

Riccardo Carotenuto, Demetrio Iero, Massimo Merenda
2022 Sensors  
There is an increasing interest about indoor positioning, which is an emerging technology with a wide range of applications [...]  ...  Acknowledgments: We would like to thank all authors for their valuable collaboration and contributions to this Special Issue and the reviewers for their hard work during the review process.  ...  Compared with positioning systems using only time of arrival (TOA), carrier phase information has a higher resolution and is more accurate, providing indoor high-precision positioning.  ... 
doi:10.3390/s22103605 pmid:35632014 pmcid:PMC9144556 fatcat:35mxp4hnxbc65byun6tg55u6ga

Evaluating indoor positioning errors

Teemu Pulkkinen, Johannes Verwijnen
2015 2015 International Conference on Information and Communication Technology Convergence (ICTC)  
With the advent of the indoor positioning field there has been a plethora of different approaches to locating people and assets in indoor environments, each with their own strengths and weaknesses.  ...  In this position paper we hope to initiate a discussion on standardized baselines and metrics, and suggest some normalizing measures to alleviate bias and further a standardization of error metrics.  ...  ACKNOWLEDGMENTS This work was supported by the Finnish Funding Agency for Technology and Innovation (project D2I).  ... 
doi:10.1109/ictc.2015.7354519 dblp:conf/ictc/PulkkinenV15 fatcat:wt4ldge4qfdbhkonqtvbvwiumu

Classification of User Positioning Techniques and Systems for Intelligent Environments

Benjamin Wagner, Dirk Timmermann
2012 Jahrestagung der Gesellschaft für Informatik  
In this work existing systems and techniques are evaluated and documented under different characteristics facing two goals.  ...  The first one is to give an overview about the state of the art of user localization techniques and secondly to make these techniques comparable in order to fit the right technique to a given application  ...  [2] focus techniques based on radio frequency and infrared light for surveying wireless indoor positioning systems.  ... 
dblp:conf/gi/WagnerT12 fatcat:gnfpdvxj65ewvbyqa4metv2ola

A Research Cluster based Scheme for Node Positioning in Indoor Environment

2019 International Journal of Engineering and Advanced Technology  
Clustered Positioning for Indoor Environment (CPIE) is proposed for estimating the position of the sensors using a Cluster Head (CH) based mechanism.  ...  Identifying the positions of sensors is an uphill task as monitoring nodes are involved in estimation and localization.  ...  Au (2010) has proposed the compact RSS based real-time indoor positioning and tracking system using compressive sensing theory and evaluated it using experiments.  ... 
doi:10.35940/ijeat.f1016.0886s19 fatcat:j6copysnmfejhgg5h34ogotg7a

Validity of a Local Positioning System during Outdoor and Indoor Conditions for Team Sports

Prisca S. Alt, Christian Baumgart, Olaf Ueberschär, Jürgen Freiwald, Matthias W. Hoppe
2020 Sensors  
This study aimed to compare the validity of a local positioning system (LPS) during outdoor and indoor conditions for team sports. The impact of different filtering techniques was also investigated.  ...  However, outdoor was superior to indoor validity, and also impacted by the applied filtering technique.  ...  Acknowledgments: The authors would like to thank Joana Brochhagen, Matthias Kühnemann, Sasha Javanmardi, Vadim Barnics, and Rene Prüßner for their assistance to collect the data.  ... 
doi:10.3390/s20205733 pmid:33050174 pmcid:PMC7601858 fatcat:ilrjfp6dj5dqfj7rciaexq7cju

Linear Discriminant Analysis-Based Dynamic Indoor Localization Using Bluetooth Low Energy (BLE)

Fazli Subhan, Sajid Saleem, Haseeb Bari, Wazir Zada Khan, Saqib Hakak, Shafiq Ahmad, Ahmed M. El-Sherbeeny
2020 Sustainability  
Traditional lateration-based techniques have limitations, such as localization error, and modeling of distance estimates from received signals.  ...  On the other side, machine learning-based techniques are currently attracting industries for developing tracking applications.  ...  To evaluate its performance, we performed real time experiments and compared its performance with other machine learning techniques.  ... 
doi:10.3390/su122410627 fatcat:kt5fql5eyfgxtoqlvsr4sr2f6e

Using Received Strength Signal Indication for Indoor Mobile Localization Based on Machine Learning Technique

Manar Joundy Hazar
2020 Webology  
The techniques of triangulation in Euclidean geometry can be considered the base of a wide range of positioning techniques for sensor networks; where they deduced the sensor locations by using its geometrical  ...  The known locations of beacon nodes in the network and the Received Strength Signal Indication (RSSI) can be exploited to detect the current position on mobile device based on the Bluetooth technology.  ...  Figure 7 .Figure 8 . 78 Comparing three metrics in the training phase Comparing three metrics in the testing phase Table 1 . 1 The performance evaluation metrics of 1-NN Table 2 . 2 The performance  ... 
doi:10.14704/web/v17i1/a206 fatcat:2tnmhqaglvfedmbq2bv6e5atim

The Application of Discrete Fourier Transforms in Reducing the Calibration Effort of Indoor Positioning Systems

2020 ASM Science Journal  
Fingerprinting based methods require a massive database of Wi-Fi signal samples to calibrate the indoor positioning system and to achieve a high location accuracy.  ...  Traditionally the calibration procedure requires human intervention and is very time-consuming, which makes a large-scale deployments of indoor positioning systems non-trivial.  ...  Indoor environment characteristics and specific requirements of time-based positioning schemes make received signal strength information (RSSI) based positioning techniques more attractive for indoor location  ... 
doi:10.32802/asmscj.2020.sm26(4.23) fatcat:pgs3s4kerjei5glebqo2mrbcbm

A Survey on WiFi-Based Indoor Positioning Technologies

Fen Liu, Jing Liu, Yuqing Yin, Pengpeng Chen
2020 IET Communications  
In this survey, the authors divide WiFi-based indoor positioning techniques into the active positioning technique and the passive positioning technique based on whether the target carries certain devices  ...  After reviewing a large number of excellent papers in the related field, the authors make a detailed summary of these two types of positioning techniques.  ...  The application and evaluation criteria for performance in Fig. 8 are the same as those for active indoor positioning techniques.  ... 
doi:10.1049/iet-com.2019.1059 fatcat:qysme2qmdvb2lclicbtubo7fqq

A Novel technique for Reference Node Placement in Wireless Indoor Positioning Systems based on Fingerprint Technique

Kittipob Kondee, Supattra Aomumpai, Chutima Prommak
1970 ECTI Transactions on Computer and Information Technology  
The proposed formulation aims to minimize the number of reference nodes and derive their suitable locations for the indoor positioning systems.  ...  However, most of existing research studies ignored the problem of optimal reference node placement and efficient system design for indoor positioning systems.  ...  The cost values of the objective function (5) will be evaluated and be compared with that of the current state. Those locations are selected by the decision function.  ... 
doi:10.37936/ecti-cit.201592.54416 fatcat:56m4cnoe3bdwnec643svygal6q

Indoor positioning: technology comparison analysis

Marina Md Din, Norziana Jamil, Jacentha Maniam, Mohamad Afendee Mohamed
2018 International Journal of Engineering & Technology  
The aim of this paper is to provide up to date indoor positioning technologies and compares the technologies according to its technical perspectives.  ...  Thus, an indoor positioning system (IPS) that tracks and positions object indoor has been implemented to overcome the issues of signals multipath that resulted from GPS.  ...  In [3] studied on an extensive survey of wireless indoor positioning techniques and solutions.  ... 
doi:10.14419/ijet.v7i2.14.12813 fatcat:mgm3t4a6frggbiu43k43kzvxva

Outlier detection in indoor localization and Internet of Things (IoT) using machine learning

Mansoor Ahmed Bhatti, Rabia Riaz, Sanam Shahla Rizvi, Sana Shokat, Farina Riaz, Se Jin Kwon
2020 Journal of Communications and Networks  
For the evaluation purpose accuracy, precision, recall, F-score and ROC-AUC curve are used.  ...  Therefore, this research has developed an outlier detection technique named as iF_Ensemble for Wi-Fi indoor localization environment by analyzing RSSs using the combination of supervised, unsupervised  ...  Bad Positioning Bad positioning is actually incorrect position or location in indoor environment.  ... 
doi:10.1109/jcn.2020.000018 fatcat:3qdeq6chrjbw7fx6z4c4zcuhca
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