Smartphone Localization Using Active-Passive Acoustic Sensing

Murakami, Hiroaki; Nakamura, Momoko; Yamasaki, Shoma; Hashizume, Hidetoshi; Sugimoto, Masanori

doi:10.1109/ipin.2018.8533764

Cited by 6 publications

(9 citation statements)

References 13 publications

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“…Ultrasound has also been explored for indoor localisation applications [56,110,119,120,184]. The basic implementation considers a number of speakers in the environment, which exert ultrasonic vibration [56] or frequency chirping [110]. The sensor designs themselves do not differ much from generic transducer-based microphones and speakers.…”

Section: Ultrasonic and Acoustic Sensorsmentioning

confidence: 99%

“…The sensor designs themselves do not differ much from generic transducer-based microphones and speakers. In fact, this is done by using a piezo-ceramic or piezo-film transmitter, excited to generate a response at frequencies in [110] or over the human audible range [56], which is subsequently registered by a receiver.…”

Section: Ultrasonic and Acoustic Sensorsmentioning

confidence: 99%

Section: Ultrasonic and Acoustic Sensorsmentioning

confidence: 99%

“…The bulk of the localisation estimation is done through lateration schemes, such as Time-of-Arrival (ToA) [119,121] and Time-difference-of-Arrival (TDoA) [110,114] or angulation, like Angle-of-Arrival (AoA) [120]. They can be further categorised into Active and Passive [110]. Due to their physical nature, the sound waves experience similar shortcomings as electro-magnetic (EM) waves, in that they are limited by the Line-of-Sight (LoS) conditions However, when not experiencing multi path fading effects and Non-Loss-of-Sight (NLoS) conditions, the localisation based on acoustic signal reportedly outperforms radio frequency (RF) based methods [110].…”

Section: Ultrasonic and Acoustic Sensorsmentioning

confidence: 99%

“…They can be further categorised into Active and Passive [110]. Due to their physical nature, the sound waves experience similar shortcomings as electro-magnetic (EM) waves, in that they are limited by the Line-of-Sight (LoS) conditions However, when not experiencing multi path fading effects and Non-Loss-of-Sight (NLoS) conditions, the localisation based on acoustic signal reportedly outperforms radio frequency (RF) based methods [110].…”

Section: Ultrasonic and Acoustic Sensorsmentioning

confidence: 99%

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Sensor Modalities and Fusion for Robust Indoor Localisation

Kozłowski¹,

Santos-Rodríguez²,

Piechocki³

2019

ICST Transactions on Ambient Systems

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The importance of accurate and efficient positioning and tracking is widely understood. However, there is a pressing lack of progress in the standardisation of methods, as well as generalised framework of their evaluation. The aim of this survey is to discuss the currently prevalent and emerging types of sensors used for location estimation. The intent of this review is to take account of this taxonomy and to provide a wider understanding of the current state-of-the-art. To that end, we outline various sensor modalities, as well as popular fusion and integration techniques, discussing how their combinations can help in various application settings. Firstly, we present the fundamental mechanics behind sensors employed by the localisation community. Furthermore we outline the formal theory behind prominent fusion methods and provide exhaustive implementation examples of each. Finally, we provide points for future discussion regarding localisation sensing, fusion and integration methods.to user's preference and experience. This makes the relative selection space large, and frequently open to interpretation with regard to available resources and constraints.Whilst the survey literature pertaining to localisation systems and methods is large [54,171,181], there exists very little in the way of localisation-centric sensor utilisation. This encompasses the use of bespoke [39] or off-the-shelf [13,118] sensors, specifically for the use of location estimation, robustification and optimisation. This area is extensive [20,35,57,83,136,146], yet very often bundled along with localisation technology surveys, without subsequent scrutiny. We aim to close this gap, by reviewing sensors, their fusion and utilisation as applied to localisation, in contrast to localisation methods, technologies and implementations themselves.Most of the existing localisation surveys include technology-specific reviews [30,54,92,181]. They concentrate upon the methods and algorithms related to indoor localisation [30,92], techniques and technologies [181]. Some work also addresses localisation from the perspective of the device itself, such as smartphones [171]. Xiao et al. study [171] is the most closely related work to our proposed examination. The main difference is, that instead of reviewing the devices as

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Section: Ultrasonic and Acoustic Sensorsmentioning

confidence: 99%

Section: Ultrasonic and Acoustic Sensorsmentioning

confidence: 99%

Section: Ultrasonic and Acoustic Sensorsmentioning

confidence: 99%

Section: Ultrasonic and Acoustic Sensorsmentioning

confidence: 99%

Section: Ultrasonic and Acoustic Sensorsmentioning

confidence: 99%

See 3 more Smart Citations

Sensor Modalities and Fusion for Robust Indoor Localisation

Kozłowski¹,

Santos-Rodríguez²,

Piechocki³

2019

ICST Transactions on Ambient Systems

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Acoustic-based sensing and applications: A survey

et al. 2020

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Epidemic contact tracing with smartphone sensors

Nguyen

Luo

Watkins

2020

Journal of Location Based Services

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Contact tracing is widely considered as an effective procedure in the fight against epidemic diseases. However, one of the challenges for technology based contact tracing is the high number of false positives, questioning its trustworthiness and efficiency amongst the wider population for mass adoption. To this end, this paper proposes a novel, yet practical smartphone-based contact tracing approach, employing WiFi and acoustic sound for relative distance estimate, in addition to the air pressure and the magnetic field for ambient environment matching. We present a model combining six smartphone sensors, prioritising some of them when certain conditions are met. We empirically verified our approach in various realistic environments to demonstrate an achievement of up to 95% fewer false positives, and 62% more accurate than Bluetooth-only system. To the best of our knowledge, this paper was one of the first work to propose a combination of smartphone sensors for contact tracing.

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Smartphone Localization Using Active-Passive Acoustic Sensing

Cited by 6 publications

References 13 publications

Sensor Modalities and Fusion for Robust Indoor Localisation

Sensor Modalities and Fusion for Robust Indoor Localisation

Acoustic-based sensing and applications: A survey

Epidemic contact tracing with smartphone sensors

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