Using Multiple Barometers to Detect the Floor Location of Smart Phones with Built-in Barometric Sensors for Indoor Positioning

Xia, Hao; Wang, Xiaogang; Qiao, Yunfeng; Jian, Jun; Chang, Yuanfei

doi:10.3390/s150407857

Cited by 82 publications

(68 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the use of barometric data indoors to estimate the floor is not straightforward [154]. Pressure variations across the same floor due to temperature variations and air flow, air conditioning systems, weather changes, errors in pressure sensors and other causes, make it difficult to associate absolute pressure values to specific floors [155], [156].…”

Section: Sensor-based Solutionsmentioning

confidence: 99%

See 1 more Smart Citation

A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation

Laoudias¹,

Moreira

Kim

et al. 2018

IEEE Commun. Surv. Tutorials

353

171

View full text Add to dashboard Cite

Abstract-Location information for events, assets, and individuals, mostly focusing on two dimensions so far, has triggered a multitude of applications across different verticals, such as consumer, networking, industrial, health care, public safety, and emergency response use cases. To fully exploit the potential of location awareness and enable new advanced location-based services, localization algorithms need to be combined with complementary technologies including accurate height estimation, i.e., three dimensional location, reliable user mobility classification, and efficient indoor mapping solutions. This survey provides a comprehensive review of such enabling technologies. In particular, we present cellular localization systems including recent results on 5G localization, and solutions based on Wireless Local Area Networks (WLAN), highlighting those that are capable of computing 3D location in multi-floor indoor environments. We overview range-free localization schemes, which have been traditionally explored in Wireless Sensor Networks (WSN) and are nowadays gaining attention for several envisioned Internet of Things (IoT) applications. We also present user mobility estimation techniques, particularly those applicable in cellular networks, that can improve localization and tracking accuracy. Regarding the mapping of physical space inside buildings for aiding tracking and navigation applications, we study recent advances and focus on smartphone-based indoor Simultaneous Localization and Mapping (SLAM) approaches.The survey concludes with service availability and system scalability considerations, as well as security and privacy concerns in location architectures, discusses the technology roadmap, and identifies future research directions.

show abstract

Section: Sensor-based Solutionsmentioning

confidence: 99%

“…The idea of using reference pressure stations is also exploited in [156]. After recognizing that pressure data suffers from offsets and variations due to numerous causes, the authors propose a solution where a reference pressure sensor is installed in each one of the floors of the buildings to be covered.…”

Section: Sensor-based Solutionsmentioning

confidence: 99%

A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation

Laoudias¹,

Moreira

Kim

et al. 2018

IEEE Commun. Surv. Tutorials

353

171

View full text Add to dashboard Cite

show abstract

“…The use of accelerometer for activity monitoring has been widely discussed in the literature [48]- [51]. Furthermore, recent research articles have discussed the feasibility of using air pressure measurements for indoor positioning [52], [53], in particular, floor detection.…”

Section: Related Workmentioning

confidence: 99%

PinMe: Tracking a Smartphone User around the World

Mosenia¹,

Dai²,

Mittal³

et al. 2018

IEEE Trans. Multi-Scale Comp. Syst.

View full text Add to dashboard Cite

Abstract-With the pervasive use of smartphones that sense, collect, and process valuable information about the environment, ensuring location privacy has become one of the most important concerns in the modern age.A few recent research studies discuss the feasibility of processing sensory data gathered by a smartphone to locate the phone's owner, even when the user does not intend to share his location information, e.g., when the user has turned off the Global Positioning System (GPS) on the device. Previous research efforts rely on at least one of the two following fundamental requirements, which impose significant limitations on the adversary: (i) the attacker must accurately know either the user's initial location or the set of routes through which the user travels and/or (ii) the attacker must measure a set of features, e.g., device acceleration, for different potential routes in advance and construct a training dataset.In this paper, we demonstrate that neither of the abovementioned requirements is essential for compromising the user's location privacy. We describe PinMe, a novel user-location mechanism that exploits non-sensory/sensory data stored on the smartphone, e.g., the environment's air pressure and device's timezone, along with publicly-available auxiliary information, e.g., elevation maps, to estimate the user's location when all location services, e.g., GPS, are turned off. Unlike previouslyproposed attacks, PinMe neither requires any prior knowledge about the user nor a training dataset on specific routes. We demonstrate that PinMe can accurately estimate the user's location during four activities (walking, traveling on a train, driving, and traveling on a plane). We also suggest several defenses against the proposed attack.

show abstract

“…One of the most popular solutions is to measure the barometric pressure. The use of pressure sensors for indoor navigation has been widely studied, such as in [10] and [11], showing a vertical positioning accuracy in the order of decimeters or sub-meter level. Still, barometric sensors require height thresholds for floor detection, and they are sensitive to local pressure conditions.…”

Section: A Sensorsmentioning

confidence: 99%

Floor Detection with Indoor Vertical Positioning in LTE Femtocell Networks

Peral-Rosado

Bavaro

López-Salcedo

et al. 2015

2015 IEEE Globecom Workshops (GC Wkshps)

View full text Add to dashboard Cite

Vertical positioning is nowadays a topic of high interest in indoor environments, due to the stringent requirements on indoor location accuracy for emergency calls, such as E911. Thus, indoor positioning techniques are investigated to achieve floor detection in order to fulfill these legal mandates. The use of Long Term Evolution (LTE) heterogeneous networks is an attractive solution due to the combination of communications and positioning capabilities. This paper provides an overview of the existing floor detection techniques. Practical results using Global Navigation Satellite Systems (GNSS), inertial sensors, barometer, and LTE signals are obtained in an experimental LTE femtocell network, within a deployment in a two-story building. Probabilities of floor detection above 67% of the cases are found for the positioning solutions assessed.

show abstract

Using Multiple Barometers to Detect the Floor Location of Smart Phones with Built-in Barometric Sensors for Indoor Positioning

Cited by 82 publications

References 17 publications

A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation

A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation

PinMe: Tracking a Smartphone User around the World

Floor Detection with Indoor Vertical Positioning in LTE Femtocell Networks

Contact Info

Product

Resources

About