{"id":"https://openalex.org/W2587311182","doi":"https://doi.org/10.1109/icm.2016.7847937","title":"Android smartphone usage as a pedestrian tracking system","display_name":"Android smartphone usage as a pedestrian tracking system","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2587311182","doi":"https://doi.org/10.1109/icm.2016.7847937","mag":"2587311182"},"language":"en","primary_location":{"id":"doi:10.1109/icm.2016.7847937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icm.2016.7847937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 28th International Conference on Microelectronics (ICM)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082551668","display_name":"Yasmine Fahmy","orcid":"https://orcid.org/0000-0001-9796-7813"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Yasmine Fahmy","raw_affiliation_strings":["Cairo University, Giza, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cairo University, Giza, Egypt","institution_ids":["https://openalex.org/I145487455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5082551668"],"corresponding_institution_ids":["https://openalex.org/I145487455"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24589859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"173","last_page":"176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11325","display_name":"Inertial Sensor and Navigation","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.8063364028930664},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.7727096080780029},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7111579179763794},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6635854840278625},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6445906758308411},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.5734232068061829},{"id":"https://openalex.org/keywords/dead-reckoning","display_name":"Dead reckoning","score":0.5617461800575256},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5420371890068054},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.4993762969970703},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4625067114830017},{"id":"https://openalex.org/keywords/position-tracking","display_name":"Position tracking","score":0.42225173115730286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41691046953201294},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.4164237082004547},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2274911105632782},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08465555310249329}],"concepts":[{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.8063364028930664},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.7727096080780029},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7111579179763794},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6635854840278625},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6445906758308411},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.5734232068061829},{"id":"https://openalex.org/C106165642","wikidata":"https://www.wikidata.org/wiki/Q152255","display_name":"Dead reckoning","level":3,"score":0.5617461800575256},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5420371890068054},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.4993762969970703},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4625067114830017},{"id":"https://openalex.org/C3017729373","wikidata":"https://www.wikidata.org/wiki/Q30324728","display_name":"Position tracking","level":3,"score":0.42225173115730286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41691046953201294},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.4164237082004547},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2274911105632782},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08465555310249329},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icm.2016.7847937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icm.2016.7847937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 28th International Conference on Microelectronics (ICM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5400000214576721,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W569885032","https://openalex.org/W1492187049","https://openalex.org/W1502027824","https://openalex.org/W1564768010","https://openalex.org/W1600022730","https://openalex.org/W1749494163","https://openalex.org/W1995423751","https://openalex.org/W2020934227","https://openalex.org/W2044048366","https://openalex.org/W2046978531","https://openalex.org/W2064313486","https://openalex.org/W2073199425","https://openalex.org/W2076250352","https://openalex.org/W2105934661","https://openalex.org/W2106226434","https://openalex.org/W2113188254","https://openalex.org/W2125691646","https://openalex.org/W2129384863","https://openalex.org/W2131420149","https://openalex.org/W2135067781","https://openalex.org/W2153190275","https://openalex.org/W2160146756","https://openalex.org/W2161367143","https://openalex.org/W2162271214","https://openalex.org/W2163965192","https://openalex.org/W2182081065","https://openalex.org/W2320769504","https://openalex.org/W2397039866","https://openalex.org/W2532146065","https://openalex.org/W3027057431","https://openalex.org/W4234782453","https://openalex.org/W6616143737","https://openalex.org/W6629401500","https://openalex.org/W6662533633","https://openalex.org/W6685900664"],"related_works":["https://openalex.org/W2087485917","https://openalex.org/W3011156758","https://openalex.org/W4294113342","https://openalex.org/W2936887342","https://openalex.org/W3115461992","https://openalex.org/W3202473970","https://openalex.org/W4287993465","https://openalex.org/W2163839940","https://openalex.org/W2555436023","https://openalex.org/W2077409896"],"abstract_inverted_index":{"Location-based":[0],"applications":[1],"need":[2],"to":[3,17,41],"determine":[4],"one's":[5],"position":[6],"by":[7],"means":[8],"of":[9,83],"his":[10],"smartphone.":[11],"Satellite":[12],"navigation":[13],"is":[14,33],"not":[15],"able":[16],"work":[18],"properly":[19],"in":[20,45],"indoor":[21,47],"environment":[22],"and":[23,56,69],"alternatives":[24],"are":[25,54],"required.":[26],"In":[27],"this":[28],"paper,":[29],"an":[30,36,46,59,77],"Android":[31],"smartphone":[32],"used":[34],"as":[35],"Inertial":[37],"Measurement":[38],"Unit":[39],"(IMU)":[40],"track":[42],"a":[43],"person":[44],"environment.":[48],"Two":[49],"different":[50],"sensors":[51],"fusion":[52,67,72,89],"techniques":[53],"evaluated":[55],"compared":[57],"through":[58],"experimental":[60],"study;":[61],"the":[62,70],"Un-scented":[63],"Kalman":[64],"filter":[65],"sensor":[66,88],"algorithm":[68],"Madgwick":[71],"algorithm.":[73],"The":[74],"evaluation":[75],"shows":[76],"accumulated":[78],"error":[79],"less":[80],"than":[81],"0.8%":[82],"traveled":[84],"distance":[85],"for":[86],"both":[87],"techniques.":[90]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
