Indoor localization of objects based on RSSI and MEMS sensors

Grzechca, Damian; Wróbel, T.; Bielecki, Patryk

doi:10.1109/iscit.2014.7011888

Cited by 8 publications

(2 citation statements)

References 6 publications

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“…The authors in [ 26 ] used the accelerometer and magnetometer sensors of a smartphone together with RSSI to improve the indoor localization accuracy. Their method is also based on step detection from the accelerometer data, and orientation detection from the magnetometer data.…”

Section: Related Workmentioning

confidence: 99%

Combining RSSI and Accelerometer Features for Room-Level Localization

Tsanousa

Xefteris

Meditskos

et al. 2021

Sensors

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The continuing advancements in technology have resulted in an explosion in the use of interconnected devices and sensors. Internet-of-Things (IoT) systems are used to provide remote solutions in different domains, like healthcare and security. A common service offered by IoT systems is the estimation of a person’s position in indoor spaces, which is quite often achieved with the exploitation of the Received Signal Strength Indication (RSSI). Localization tasks with the goal to locate the room are actually classification problems. Motivated by a current project, where there is the need to locate a missing child in crowded spaces, we intend to test the added value of using an accelerometer along with RSSI for room-level localization and assess the performance of ensemble learning methods. We present here the results of this preliminary approach of the early and late fusion of RSSI and accelerometer features in room-level localization. We further test the performance of the feature extraction from RSSI values. The classification algorithms and the fusion methods used to predict the room were evaluated using different protocols applied to a public dataset. The experimental results revealed better performance of the RSSI extracted features, while the accelerometer’s individual performance was poor and subsequently affected the fusion results.

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Section: Related Workmentioning

confidence: 99%

Combining RSSI and Accelerometer Features for Room-Level Localization

Tsanousa

Xefteris

Meditskos

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…To position objects on medium distances, we can use one or more of these technologies: Wireless Local Area Network (WLAN) [9], Cellular Networks [10], Bluetooth [11], [12], Radio Frequency Identification (RFID) [13], Infrared (IR), Ultrasonic, ZigBee, Image Based Technologies, Pseudolites [14] and the Ultra-Wideband (UWB) [15]. All those techniques can be combined with micro electro-mechanical system (MEMS) sensors [16], [17]. This paper focused on Ultra-Wideband, as a most promising technology, which allows objects to be tracked with centimeters accuracy [18].…”

Section: Introductionmentioning

confidence: 99%