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

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-540-30119-6_6openalex-snapshot
Particle Filters for Location Estimation in Ubiquitous Computing: A Case Study
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4th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2007)
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Smartphone-based Wi-Fi tracking system exploiting the RSS peak to overcome the RSS variance problem
inferredcites →https://doi.org/10.1109/aim.2010.5695802openalex-snapshot
Ambulatory walking speed estimation under different step lengths and frequencies
inferredcites →https://doi.org/10.1109/cnsm.2013.6727812openalex-snapshot
Pazl: A mobile crowdsensing based indoor WiFi monitoring system
inferredcites →https://doi.org/10.1109/glocom.2010.5684304openalex-snapshot
GAC: Energy-Efficient Hybrid GPS-Accelerometer-Compass GSM Localization
inferredcites →https://doi.org/10.1109/infcom.2000.832252openalex-snapshot
RADAR: an in-building RF-based user location and tracking system
inferredcites →https://doi.org/10.1109/infcom.2010.5462058openalex-snapshot
Towards Mobile Phone Localization without War-Driving
inferredcites →https://doi.org/10.1109/ipin.2010.5646681openalex-snapshot
Self-contained indoor positioning on off-the-shelf mobile devices
inferredcites →https://doi.org/10.1109/ipin.2010.5646858openalex-snapshot
An improved shoe-mounted inertial navigation system
inferredcites →https://doi.org/10.1109/ipin.2011.6071935openalex-snapshot
Strap-down Pedestrian Dead-Reckoning system
inferredcites →https://doi.org/10.1109/iros.2005.1544967openalex-snapshot
A step toward GPS/INS personal navigation systems: real-time assessment of gait by foot inertial sensing
inferredcites →https://doi.org/10.1109/mcg.2005.140openalex-snapshot
Pedestrian Tracking with Shoe-Mounted Inertial Sensors
inferredcites →https://doi.org/10.1109/percom.2012.6199843openalex-snapshot
FTrack: Infrastructure-free floor localization via mobile phone sensing
inferredcites →https://doi.org/10.1109/plans.2008.4570047openalex-snapshot
Cascaded estimation architecture for integration of foot-mounted inertial sensors
inferredcites →https://doi.org/10.1109/plans.2012.6236873openalex-snapshot
Opportunistic radio SLAM for indoor navigation using smartphone sensors
inferredcites →https://doi.org/10.1109/surv.2012.121912.00075openalex-snapshot
A Survey of Indoor Inertial Positioning Systems for Pedestrians
inferredcites →https://doi.org/10.1109/tim.2005.858557openalex-snapshot
Design of a Wireless Assisted Pedestrian Dead Reckoning System—The NavMote Experience
inferredcites →https://doi.org/10.1109/wisp.2009.5286542openalex-snapshot
A comparison of Pedestrian Dead-Reckoning algorithms using a low-cost MEMS IMU
inferredcites →https://doi.org/10.1117/12.718691openalex-snapshot
Non-GPS navigation with the personal dead-reckoning system
inferredcites →https://doi.org/10.1145/1067170.1067193openalex-snapshot
The Horus WLAN location determination system
inferredcites →https://doi.org/10.1145/1409635.1409651openalex-snapshot
Pedestrian localisation for indoor environments
inferredcites →https://doi.org/10.1145/1410012.1410025openalex-snapshot
Redpin - adaptive, zero-configuration indoor localization through user collaboration
inferredcites →https://doi.org/10.1145/1814433.1814461openalex-snapshot
Growing an organic indoor location system
inferredcites →https://doi.org/10.1145/1859995.1860013openalex-snapshot
Did you see Bob?
inferredcites →https://doi.org/10.1145/2307636.2307655openalex-snapshot
No need to war-drive
inferredcites →https://doi.org/10.1145/2348543.2348580openalex-snapshot
Zee
inferredcites →https://doi.org/10.1145/778415.778439openalex-snapshot
Localization from mere connectivity

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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RadarPDR: Radar-Assisted Indoor Pedestrian Dead Reckoning
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Uma metodologia de localização Indoor para smartphones em ambientes de Cidades Inteligentes
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