File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Mobility increases localizability: A survey on wireless indoor localization using inertial sensors

TitleMobility increases localizability: A survey on wireless indoor localization using inertial sensors
Authors
KeywordsSmartphones
Mobility
Wireless indoor localization
Issue Date2015
Citation
ACM Computing Surveys, 2015, v. 47, n. 3, article no. 54 How to Cite?
AbstractWireless indoor positioning has been extensively studied for the past 2 decades and continuously attracted growing research efforts in mobile computing context. As the integration of multiple inertial sensors (e.g., accelerometer, gyroscope, and magnetometer) to nowadays smartphones in recent years, human-centric mobility sensing is emerging and coming into vogue. Mobility information, as a new dimension in addition to wireless signals, can benefit localization in a number of ways, since location and mobility are by nature related in the physical world. In this article, we survey this new trend of mobility enhancing smartphonebased indoor localization. Specifically, we first study how to measure human mobility: what types of sensors we can use and what types of mobility information we can acquire. Next, we discuss how mobility assists localization with respect to enhancing location accuracy, decreasing deployment cost, and enriching location context. Moreover, considering the quality and cost of smartphone built-in sensors, handling measurement errors is essential and accordingly investigated. Combining existing work and our own working experiences, we emphasize the principles and conduct comparative study of the mainstream technologies. Finally, we conclude this survey by addressing future research directions and opportunities in this new and largely open area.
Persistent Identifierhttp://hdl.handle.net/10722/303448
ISSN
2023 Impact Factor: 23.8
2023 SCImago Journal Rankings: 6.280
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYang, Zheng-
dc.contributor.authorWu, Chenshu-
dc.contributor.authorZhou, Zimu-
dc.contributor.authorZhang, Xinglin-
dc.contributor.authorWang, Xu-
dc.contributor.authorLiu, Yunhao-
dc.date.accessioned2021-09-15T08:25:20Z-
dc.date.available2021-09-15T08:25:20Z-
dc.date.issued2015-
dc.identifier.citationACM Computing Surveys, 2015, v. 47, n. 3, article no. 54-
dc.identifier.issn0360-0300-
dc.identifier.urihttp://hdl.handle.net/10722/303448-
dc.description.abstractWireless indoor positioning has been extensively studied for the past 2 decades and continuously attracted growing research efforts in mobile computing context. As the integration of multiple inertial sensors (e.g., accelerometer, gyroscope, and magnetometer) to nowadays smartphones in recent years, human-centric mobility sensing is emerging and coming into vogue. Mobility information, as a new dimension in addition to wireless signals, can benefit localization in a number of ways, since location and mobility are by nature related in the physical world. In this article, we survey this new trend of mobility enhancing smartphonebased indoor localization. Specifically, we first study how to measure human mobility: what types of sensors we can use and what types of mobility information we can acquire. Next, we discuss how mobility assists localization with respect to enhancing location accuracy, decreasing deployment cost, and enriching location context. Moreover, considering the quality and cost of smartphone built-in sensors, handling measurement errors is essential and accordingly investigated. Combining existing work and our own working experiences, we emphasize the principles and conduct comparative study of the mainstream technologies. Finally, we conclude this survey by addressing future research directions and opportunities in this new and largely open area.-
dc.languageeng-
dc.relation.ispartofACM Computing Surveys-
dc.subjectSmartphones-
dc.subjectMobility-
dc.subjectWireless indoor localization-
dc.titleMobility increases localizability: A survey on wireless indoor localization using inertial sensors-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1145/2676430-
dc.identifier.scopuseid_2-s2.0-84929469749-
dc.identifier.volume47-
dc.identifier.issue3-
dc.identifier.spagearticle no. 54-
dc.identifier.epagearticle no. 54-
dc.identifier.eissn1557-7341-
dc.identifier.isiWOS:000354046600017-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats