Using barometers to determine the height for indoor positioning

Li, Binghao; Harvey, Bruce; Gallagher, Thomas J.

doi:10.1109/ipin.2013.6817923

Cited by 43 publications

(20 citation statements)

References 3 publications

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“…As mentioned in Section 1 , the methods in [ 1 , 5 , 15 ] are based on the assumption that we know the accurate height of each floor in a building. However, learning the floor heights in some buildings is difficult.…”

Section: Methodsmentioning

confidence: 99%

“…For instance, if a wrong floor is identified, a wrong map is selected to display the position. Determining which floor of the building level one is probably located requires a height measurement with an accuracy of better than 3 m [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

“…Some studies [ 1 , 5 , 14 , 15 ] have presented results on this subject. In [ 14 ], data were collected from MEMS barometric sensors under several scenarios where different disturbances affect the pressure readings to determine the relevant error sources of barometers according to the altitude in the field of personal navigation.…”

Section: Introductionmentioning

confidence: 99%

“…In [ 14 ], data were collected from MEMS barometric sensors under several scenarios where different disturbances affect the pressure readings to determine the relevant error sources of barometers according to the altitude in the field of personal navigation. In [ 5 ], the researchers carried out many experiments in this field. The experiments showed the feasibility in detecting the floor level using measurements by mobile device built-in barometric sensors to evaluate the altitude of the mobile devices and then comparing the altitude with the floor heights of the building.…”

Section: Introductionmentioning

confidence: 99%

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

Xia

Wang

Qiao

et al. 2015

Sensors

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Following the popularity of smart phones and the development of mobile Internet, the demands for accurate indoor positioning have grown rapidly in recent years. Previous indoor positioning methods focused on plane locations on a floor and did not provide accurate floor positioning. In this paper, we propose a method that uses multiple barometers as references for the floor positioning of smart phones with built-in barometric sensors. Some related studies used barometric formula to investigate the altitude of mobile devices and compared the altitude with the height of the floors in a building to obtain the floor number. These studies assume that the accurate height of each floor is known, which is not always the case. They also did not consider the difference in the barometric-pressure pattern at different floors, which may lead to errors in the altitude computation. Our method does not require knowledge of the accurate heights of buildings and stories. It is robust and less sensitive to factors such as temperature and humidity and considers the difference in the barometric-pressure change trends at different floors. We performed a series of experiments to validate the effectiveness of this method. The results are encouraging.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Xia

Wang

Qiao

et al. 2015

Sensors

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“…Such sensors are nowadays accommodated in several high-end application systems (e.g., in consumer electronics, avionics, navigation, and positioning systems, etc.) for data delivery associated to weather, altitude, and geo-location information [10][11][12][13][14][15][16]. It is worth noting that the value of pressure sensor market is expected to reach $7.34 billion in 2017 [17].…”

Section: Introductionmentioning

confidence: 99%

Ethernet and PC‐based experiments on barometric altimetry using MEMS in a wireless sensor network

Bolanakis

Kotsis

Laopoulos

2016

Comp Applic In Engineering

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This paper presents a training framework that applies to Micro-Electro-Mechanical-Systems (MEMS) technology. Recommendations are in line with a prototype educational platform along with an innovative set of experiments for a creative training on barometric altimetry. The proposed platform relies on a wireless sensor network system of Ethernet as well as PC-based (i.e., LabVIEW) user interface for ambient air pressure acquisition. The web user interface renders feasible the implementation of a single setup per class, while also minimizes students' occupation on software and hardware configuration activities; hence, students are concentrated on the problem solving process. The LabVIEW controlled interface advocates tutordemonstration by means of real-time graphical monitoring of the measurement procedure. The wireless system feature provides flexibility in experimentation, allowing the examination of particular sensor characteristics (related to the design of a MEMS system) that regularly require an exceptionally expensive apparatus. ß 2016 Wiley Periodicals, Inc. Comput Appl Eng Educ 24: [443][444][445][446][447][448][449][450][451][452][453][454][455] 2016; View this article online at wileyonlinelibrary.com/ journal/cae;

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Worldwide Indoor Positioning Technologies: Achievable Performance

2019

Indoor Positioning

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Using barometers to determine the height for indoor positioning

Cited by 43 publications

References 3 publications

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

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

Ethernet and PC‐based experiments on barometric altimetry using MEMS in a wireless sensor network

Worldwide Indoor Positioning Technologies: Achievable Performance

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