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Identifying Stops and Moves in WiFi Tracking Data

Cristian Chilipirea, Mitra Baratchi, Ciprian Dobre, Maarten van Steen
2018 Sensors  
To facilitate further data analysis, we can partition individual trajectories into periods of stops and moves.  ...  In this paper, we study three algorithms for determining stops and movements for GPS-based datasets and explore their applicability to WiFi-based data.  ...  To simplify tracking data, we can separate them into periods of stops and moves [1, 2] .  ... 
doi:10.3390/s18114039 pmid:30463269 fatcat:x6botgthbfeshnvvqd2zdcnvzu

Identifying Movements in Noisy Crowd Analytics Data

Cristian Chilipirea, Ciprian Dobre, Mitra Baratchi, Maarten van Steen
2018 2018 19th IEEE International Conference on Mobile Data Management (MDM)  
In this paper, we study a set of established algorithms for detecting periods of stops and moves from GPS-based datasets and their applicability to WiFi-based data.  ...  Segmenting an individual's trajectory data into periods of stops and moves is a fundamental step in analyzing crowds' movement.  ...  ACKNOWLEDGMENT We thank Roel Schiphorst from BlueMark Innovations for providing us with the Assen data sets.  ... 
doi:10.1109/mdm.2018.00033 dblp:conf/mdm/ChilipireaDBS18 fatcat:lc3padza3rcrtbsj6y765v2uta

Mapping of MAC Address with Moving WiFi Scanner

Arief Hidayat, Shintaro Terabe, Hideki Yaginuma
2017 International Journal of Artificial Intelligence Research  
The method used WiFi and GPS are to counting MAC address as raw data from the pedestrian smartphone, bus passenger or WiFi devices near from the bus as long as the bus going around the route.  ...  There are seven processes to make map WiFi data.  ...  Thanks to members of Transportation Planning Laboratory, Department of Civil Engineering, Tokyo University of Science (TUS) which has provided survey, data and much assistance in supporting for this paper  ... 
doi:10.29099/ijair.v1i2.27 fatcat:vnp2rcwo3nffpjhphnwiwnbqta

Observing a Moving Target – Reliable Transmission of Debug Logs from Embedded Mobile Devices [article]

Björn Daase, Leon Matthes, Lukas Pirl, Lukas Wenzel
2021 arXiv   pre-print
., power supply), and the medium (e.g., UART, WiFi). A qualitative comparison suggests that the adequacy of approaches depends on the concrete application and the phase in the life cycle.  ...  With this target device, failure logs, new firmware, and monitoring data need to be exchanged.  ...  Transmission): "Stop and Radio" also saves data continuously in order to be able to stop and transfer the data at once.  ... 
arXiv:2110.01412v2 fatcat:3gkelkxxkbff3luci6252tgzoe

Mining Users Mobility at Public Transportation

Joao Ferreira
2017 Inteligencia Artificial  
This data is manipulated to extract the information about the numbers of users with mobile devices and track their route path and time.  ...  The method is based on the probe requests of users mobile device through the collected data in wireless access point.  ...  With the identified position, more information is added relating it with the static XTraN data about the BUS routes and its stops, so we can identify the name and number of that bus-stop.  ... 
doi:10.4114/intartif.vol20iss59pp32-41 fatcat:ipamiuzsvbcabmhzbrkyz57f2y

Determine Non-Passenger Data from WiFi Scanner Data (MAC Address), A Case Study: Romango Bus, Obuse, Nagano Prefecture, Japan

Arief Hidayat, Shintaro Terabe, Hideki Yaginuma
2018 International Review for Spatial Planning and Sustainable Development  
Raw data obtained in the form of WiFi data and GPS data is combined and processed through five steps to produce non-passenger data.  ...  Many previous studies have interpreted MAC address data into other forms for use in infrastructure development and urban transport.  ...  Using another method, a penetration ratio is calculated by combining tracking and count data from WiFi.  ... 
doi:10.14246/irspsda.6.3_154 fatcat:e6ekcmc2zfhjvejklijwpes3qa

Energy efficient indoor tracking on smartphones

Dezhong Yao, Chen Yu, Anind K. Dey, Christian Koehler, Geyong Min, Laurence T. Yang, Hai Jin
2014 Future generations computer systems  
. • We propose a sensor management strategy for adaptive duty cycling and a data upload strategy for indoor situations. a b s t r a c t Continuously identifying a user's location context provides new opportunities  ...  This framework leverages an accelerometer, widely available on everyday smartphones, to reduce the duty cycle and the network communication frequency when a tracked user is moving slowly or not at all.  ...  So for those situations, we can turn off the WiFi adapter and stop tracking.  ... 
doi:10.1016/j.future.2013.12.032 fatcat:id4oyu53hvaqpervjabrlsmoey

Indoor tracking from multidimensional sensor data

Adriano Moreira, Maria Joao Nicolau, Antonio Costa, Filipe Meneses
2016 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN)  
Tracking the position of people or vehicles in large indoor settings with high accuracy is still a challenge despite the significant progress observed in indoor positioning technology in the last decade  ...  To date, there is not a clearly dominant indoor positioning solution for general use, and challenges related to seamless indoor-outdoor positioning, reliable floor estimation and indoor maps are still  ...  ACKNOWLEDGEMENTS This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT -Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.  ... 
doi:10.1109/ipin.2016.7743705 dblp:conf/ipin/MoreiraNCM16 fatcat:udquwctjyncvrnykpltkbhci5q

Tracking Human Mobility Using WiFi Signals

Piotr Sapiezynski, Arkadiusz Stopczynski, Radu Gatej, Sune Lehmann, Ye Wu
2015 PLoS ONE  
We study six months of human mobility data, including WiFi and GPS traces recorded with high temporal resolution, and find that time series of WiFi scans contain a strong latent location signal.  ...  In fact, due to inherent stability and low entropy of human mobility, it is possible to assign location to WiFi access points based on a very small number of GPS samples and then use these access points  ...  Acknowledgments We thank Yves-Alexandre de Montjoye and Andrea Cuttone for useful discussions. Author Contributions  ... 
doi:10.1371/journal.pone.0130824 pmid:26132115 pmcid:PMC4489206 fatcat:f7azptjzh5gjjmr4k7q5c4g52y

Micro-Navigation for Urban Bus Passengers: Using the Internet of Things to Improve the Public Transport Experience [article]

Stefan Foell, Gerd Kortuem, Reza Rawassizadeh, Marcus Handte, Umer Iqbal, Pedro Marron
2015 arXiv   pre-print
Public bus services are widely deployed in cities around the world because they provide cost-effective and economic public transportation.  ...  We present Urban Bus Navigator (UBN), a reality-aware urban navigation system for bus passengers with the ability to recognize and track the physical public transport infrastructure such as buses.  ...  Results Overall we captured ESM data from 140 user trips which allowed us to identify key problem areas.  ... 
arXiv:1412.6605v2 fatcat:qbr6ylt4bje2dg5fqm3vy3za5m

Micro-Navigation for Urban Bus Passengers: Using the Internet of Things to Improve the Public Transport Experience

Stefan Foell, Gerd Kortuem, Reza Rawassizadeh, Marcus Handte, Umer Iqbal, Pedro Marrón
2014 Proceedings of the The First International Conference on IoT in Urban Space  
Public bus services are widely deployed in cities around the world because they provide cost-effective and economic public transportation.  ...  We present Urban Bus Navigator (UBN), a reality-aware urban navigation system for bus passengers with the ability to recognize and track the physical public transport infrastructure such as buses.  ...  Results Overall we captured ESM data from 140 user trips which allowed us to identify key problem areas.  ... 
doi:10.4108/icst.urb-iot.2014.257373 dblp:conf/urbiot/FoellKRHIM14 fatcat:67gyyqebxrh4lkc6p5pevs37gm

HiMLoc: Indoor smartphone localization via activity aware Pedestrian Dead Reckoning with selective crowdsourced WiFi fingerprinting

Valentin Radu, Mahesh K. Marina
2013 International Conference on Indoor Positioning and Indoor Navigation  
Specifically, HiMLoc combines location tracking and activity recognition using inertial sensors on mobile devices with location-specific weighted assistance from a crowd-sourced WiFi fingerprinting system  ...  , elevators, corners and entrances), HiMLoc is shown to achieve median accuracies lower than 3 meters in most cases.  ...  Phone's sensors (accelerometer, compass and WiFi card) collect sensor data (acceleration, orientation and WiFi scans) to be used as direct input to the system.  ... 
doi:10.1109/ipin.2013.6817916 dblp:conf/ipin/RaduM13 fatcat:tsoadozv55hjdfxfq7xqh6rslm

Public Transportation Management System based on GPSWiFi and Open Street Maps

Saed Tarapiah, Shadi Atalla
2015 International Journal of Advanced Computer Science and Applications  
This limitation mostly appear by consider off-shelf technologies such as WiFi, GPS and Open Street Maps (OSM).  ...  Transportation faces many issues like high accidents rate in general, and much more rate in developing countries due to the lack of proper infrastructure for roads, is one of the reasons for these crashes  ...  Through this way the SBU will log GPS data if it is moving and it will go to sleep mode and stop collecting GPS data if it detect that it is in stationary state for the last 5 minutes and when the SBU  ... 
doi:10.14569/ijacsa.2015.060127 fatcat:3gyxvqmjfbbkhf3mhuu7hwxtvm

Tracking human queues using single-point signal monitoring

Yan Wang, Jie Yang, Yingying Chen, Hongbo Liu, Marco Gruteser, Richard P. Martin
2014 Proceedings of the 12th annual international conference on Mobile systems, applications, and services - MobiSys '14  
We investigate using smartphone WiFi signals to track human queues, which are common in many business areas such as retail stores, airports, and theme parks.  ...  We develop two approaches in our system, one is directly feature-driven and the second uses a simple Bayesian network.  ...  ACKNOWLEDGEMENT This work is supported in part by the National Science Foundation Grants CNS1217387, CCF1018270, CNS1040735, and CNS 0845896.  ... 
doi:10.1145/2594368.2594382 dblp:conf/mobisys/WangYCLGM14 fatcat:b4gl2gipq5cg5kc4opqv3fly6i

IoT-based occupancy monitoring techniques for energy-efficient smart buildings

Kemal Akkaya, Ismail Guvenc, Ramazan Aygun, Nezih Pala, Abdullah Kadri
2015 2015 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)  
With the proliferation of Internet of Things (IoT) devices such as smartphones, sensors, cameras, and RFIDs, it is possible to collect massive amount of data for localization and tracking of people within  ...  of any apps in the users' smart devices, and 2) to develop effective data fusion techniques for improving occupancy monitoring accuracy using a multitude of sources.  ...  Tracking moving trajectories may help to overcome the occlusion problem, but it has to deal with the complexity of different motion paths observed by different parts of a moving body and intersecting paths  ... 
doi:10.1109/wcncw.2015.7122529 dblp:conf/wcnc/AkkayaGAPK15 fatcat:rlvkwwvzmvbxpo4mlvqhsudofu
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