Analysis and Design of an Object Tracking Service for Intelligent Environments View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2009

AUTHORS

Ignacio Recio , José M. Moya , Álvaro Araujo , Juan Carlos Vallejo , Pedro Malagón

ABSTRACT

This paper describes the design and implementation of an object tracking service for indoor environments. First, the wireless indoor location estimation technology is overviewed presenting advantages and disadvantages. Second, the methodology of the study is presented. To estimate the position we use clues inserted by location clue injectors of the system. In our architecture one of these injectors is a ZigBee sensor network. As location algorithm we have developed a method combining statistical techniques (particle filter) and proximity sensing (nearest neighbour) to get better efficiency. The results obtained show that a good precision and reliability can be achieved with a low-cost solution. More... »

PAGES

914-921

Book

TITLE

Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living

ISBN

978-3-642-02480-1
978-3-642-02481-8

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-02481-8_139

DOI

http://dx.doi.org/10.1007/978-3-642-02481-8_139

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1053195719


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0104", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Statistics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Technical University of Madrid", 
          "id": "https://www.grid.ac/institutes/grid.5690.a", 
          "name": [
            "Dpto. Ingenier\u00eda Electr\u00f3nica, ETSI de Telecomunicaci\u00f3n, Universidad Polit\u00e9cnica de Madrid, Ciudad Universitaria s/n, 28040, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Recio", 
        "givenName": "Ignacio", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Technical University of Madrid", 
          "id": "https://www.grid.ac/institutes/grid.5690.a", 
          "name": [
            "Dpto. Ingenier\u00eda Electr\u00f3nica, ETSI de Telecomunicaci\u00f3n, Universidad Polit\u00e9cnica de Madrid, Ciudad Universitaria s/n, 28040, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Moya", 
        "givenName": "Jos\u00e9 M.", 
        "id": "sg:person.07662217004.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07662217004.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Technical University of Madrid", 
          "id": "https://www.grid.ac/institutes/grid.5690.a", 
          "name": [
            "Dpto. Ingenier\u00eda Electr\u00f3nica, ETSI de Telecomunicaci\u00f3n, Universidad Polit\u00e9cnica de Madrid, Ciudad Universitaria s/n, 28040, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Araujo", 
        "givenName": "\u00c1lvaro", 
        "id": "sg:person.010120552111.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010120552111.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Technical University of Madrid", 
          "id": "https://www.grid.ac/institutes/grid.5690.a", 
          "name": [
            "Dpto. Ingenier\u00eda Electr\u00f3nica, ETSI de Telecomunicaci\u00f3n, Universidad Polit\u00e9cnica de Madrid, Ciudad Universitaria s/n, 28040, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vallejo", 
        "givenName": "Juan Carlos", 
        "id": "sg:person.0606356734.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0606356734.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Technical University of Madrid", 
          "id": "https://www.grid.ac/institutes/grid.5690.a", 
          "name": [
            "Dpto. Ingenier\u00eda Electr\u00f3nica, ETSI de Telecomunicaci\u00f3n, Universidad Polit\u00e9cnica de Madrid, Ciudad Universitaria s/n, 28040, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Malag\u00f3n", 
        "givenName": "Pedro", 
        "id": "sg:person.012400766577.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012400766577.71"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1109/percom.2005.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093855210"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2009", 
    "datePublishedReg": "2009-01-01", 
    "description": "This paper describes the design and implementation of an object tracking service for indoor environments. First, the wireless indoor location estimation technology is overviewed presenting advantages and disadvantages. Second, the methodology of the study is presented. To estimate the position we use clues inserted by location clue injectors of the system. In our architecture one of these injectors is a ZigBee sensor network. As location algorithm we have developed a method combining statistical techniques (particle filter) and proximity sensing (nearest neighbour) to get better efficiency. The results obtained show that a good precision and reliability can be achieved with a low-cost solution.", 
    "editor": [
      {
        "familyName": "Omatu", 
        "givenName": "Sigeru", 
        "type": "Person"
      }, 
      {
        "familyName": "Rocha", 
        "givenName": "Miguel P.", 
        "type": "Person"
      }, 
      {
        "familyName": "Bravo", 
        "givenName": "Jos\u00e9", 
        "type": "Person"
      }, 
      {
        "familyName": "Fern\u00e1ndez", 
        "givenName": "Florentino", 
        "type": "Person"
      }, 
      {
        "familyName": "Corchado", 
        "givenName": "Emilio", 
        "type": "Person"
      }, 
      {
        "familyName": "Bustillo", 
        "givenName": "Andr\u00e9s", 
        "type": "Person"
      }, 
      {
        "familyName": "Corchado", 
        "givenName": "Juan M.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-02481-8_139", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-642-02480-1", 
        "978-3-642-02481-8"
      ], 
      "name": "Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living", 
      "type": "Book"
    }, 
    "name": "Analysis and Design of an Object Tracking Service for Intelligent Environments", 
    "pagination": "914-921", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1053195719"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-02481-8_139"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "fd61f6c8bc07458a92f22e6b13ed6d1f1c5db97845f7d852a00dae2ddb7aff6c"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-02481-8_139", 
      "https://app.dimensions.ai/details/publication/pub.1053195719"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T07:10", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000353_0000000353/records_45339_00000000.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F978-3-642-02481-8_139"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-02481-8_139'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-02481-8_139'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-02481-8_139'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-02481-8_139'


 

This table displays all metadata directly associated to this object as RDF triples.

125 TRIPLES      23 PREDICATES      28 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-02481-8_139 schema:about anzsrc-for:01
2 anzsrc-for:0104
3 schema:author N2bd391d0033d447ca6ad2f266bffb3c8
4 schema:citation https://doi.org/10.1109/percom.2005.1
5 schema:datePublished 2009
6 schema:datePublishedReg 2009-01-01
7 schema:description This paper describes the design and implementation of an object tracking service for indoor environments. First, the wireless indoor location estimation technology is overviewed presenting advantages and disadvantages. Second, the methodology of the study is presented. To estimate the position we use clues inserted by location clue injectors of the system. In our architecture one of these injectors is a ZigBee sensor network. As location algorithm we have developed a method combining statistical techniques (particle filter) and proximity sensing (nearest neighbour) to get better efficiency. The results obtained show that a good precision and reliability can be achieved with a low-cost solution.
8 schema:editor Ne5160922cca74d76abcfd982c7d0d118
9 schema:genre chapter
10 schema:inLanguage en
11 schema:isAccessibleForFree false
12 schema:isPartOf N1e5285d457784947bd94e05df14a1e89
13 schema:name Analysis and Design of an Object Tracking Service for Intelligent Environments
14 schema:pagination 914-921
15 schema:productId N4be2e76c7811488bb3add9cd8c504179
16 N72ce6a656da342528d4309209b7dd0c2
17 Naa473673adf9461c85160e369bb33369
18 schema:publisher N0388eea757984a7a8e3a9157937882e1
19 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053195719
20 https://doi.org/10.1007/978-3-642-02481-8_139
21 schema:sdDatePublished 2019-04-16T07:10
22 schema:sdLicense https://scigraph.springernature.com/explorer/license/
23 schema:sdPublisher N954741cf6d1847f9ad73cd0d8da84d56
24 schema:url https://link.springer.com/10.1007%2F978-3-642-02481-8_139
25 sgo:license sg:explorer/license/
26 sgo:sdDataset chapters
27 rdf:type schema:Chapter
28 N02616de48cb34430909c3293fb54f4e7 rdf:first Ne0cbae541b8848418acb4c0c63e60a85
29 rdf:rest Nf4559613e1614cf48f530c518fd26978
30 N0388eea757984a7a8e3a9157937882e1 schema:location Berlin, Heidelberg
31 schema:name Springer Berlin Heidelberg
32 rdf:type schema:Organisation
33 N1e5285d457784947bd94e05df14a1e89 schema:isbn 978-3-642-02480-1
34 978-3-642-02481-8
35 schema:name Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
36 rdf:type schema:Book
37 N2333fd01a2174b2384d688d6ae0349dd schema:familyName Corchado
38 schema:givenName Emilio
39 rdf:type schema:Person
40 N2a1d3c2ef4c14213bc510fdef129f6af rdf:first sg:person.010120552111.77
41 rdf:rest Nf38c9af48abe480bb3f5ce8bb72c6746
42 N2bd391d0033d447ca6ad2f266bffb3c8 rdf:first Nff75aae32f25429e8506d526d1914ac5
43 rdf:rest N6282ac1bd3b94382a1ec68ca29a7fbdb
44 N2eafae05632f461398e49004d4e23f20 rdf:first Ne07841c8dbbe4adea9295b9ba889c1f9
45 rdf:rest Nd89e0648fffe4aa89b2f16bb95292168
46 N307f63a4e840464da216a03fdb15d4b8 schema:familyName Omatu
47 schema:givenName Sigeru
48 rdf:type schema:Person
49 N3906b8c63e194f2885eb28e7ea482020 rdf:first sg:person.012400766577.71
50 rdf:rest rdf:nil
51 N4b4368c5225d4876b8ca314fb1c4a876 schema:familyName Bravo
52 schema:givenName José
53 rdf:type schema:Person
54 N4be2e76c7811488bb3add9cd8c504179 schema:name dimensions_id
55 schema:value pub.1053195719
56 rdf:type schema:PropertyValue
57 N5b4e6820e08243afb0bf03544782af50 schema:familyName Corchado
58 schema:givenName Juan M.
59 rdf:type schema:Person
60 N5f72f85857224891ba9050f89f28755e rdf:first N90adf95863f4479badc1e9f9ff955c1f
61 rdf:rest Ndb10be1355c047ff9a7b39b9022ff554
62 N6282ac1bd3b94382a1ec68ca29a7fbdb rdf:first sg:person.07662217004.56
63 rdf:rest N2a1d3c2ef4c14213bc510fdef129f6af
64 N72ce6a656da342528d4309209b7dd0c2 schema:name readcube_id
65 schema:value fd61f6c8bc07458a92f22e6b13ed6d1f1c5db97845f7d852a00dae2ddb7aff6c
66 rdf:type schema:PropertyValue
67 N90adf95863f4479badc1e9f9ff955c1f schema:familyName Fernández
68 schema:givenName Florentino
69 rdf:type schema:Person
70 N954741cf6d1847f9ad73cd0d8da84d56 schema:name Springer Nature - SN SciGraph project
71 rdf:type schema:Organization
72 Naa473673adf9461c85160e369bb33369 schema:name doi
73 schema:value 10.1007/978-3-642-02481-8_139
74 rdf:type schema:PropertyValue
75 Nd89e0648fffe4aa89b2f16bb95292168 rdf:first N5b4e6820e08243afb0bf03544782af50
76 rdf:rest rdf:nil
77 Ndb10be1355c047ff9a7b39b9022ff554 rdf:first N2333fd01a2174b2384d688d6ae0349dd
78 rdf:rest N2eafae05632f461398e49004d4e23f20
79 Ne07841c8dbbe4adea9295b9ba889c1f9 schema:familyName Bustillo
80 schema:givenName Andrés
81 rdf:type schema:Person
82 Ne0cbae541b8848418acb4c0c63e60a85 schema:familyName Rocha
83 schema:givenName Miguel P.
84 rdf:type schema:Person
85 Ne5160922cca74d76abcfd982c7d0d118 rdf:first N307f63a4e840464da216a03fdb15d4b8
86 rdf:rest N02616de48cb34430909c3293fb54f4e7
87 Nf38c9af48abe480bb3f5ce8bb72c6746 rdf:first sg:person.0606356734.19
88 rdf:rest N3906b8c63e194f2885eb28e7ea482020
89 Nf4559613e1614cf48f530c518fd26978 rdf:first N4b4368c5225d4876b8ca314fb1c4a876
90 rdf:rest N5f72f85857224891ba9050f89f28755e
91 Nff75aae32f25429e8506d526d1914ac5 schema:affiliation https://www.grid.ac/institutes/grid.5690.a
92 schema:familyName Recio
93 schema:givenName Ignacio
94 rdf:type schema:Person
95 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
96 schema:name Mathematical Sciences
97 rdf:type schema:DefinedTerm
98 anzsrc-for:0104 schema:inDefinedTermSet anzsrc-for:
99 schema:name Statistics
100 rdf:type schema:DefinedTerm
101 sg:person.010120552111.77 schema:affiliation https://www.grid.ac/institutes/grid.5690.a
102 schema:familyName Araujo
103 schema:givenName Álvaro
104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010120552111.77
105 rdf:type schema:Person
106 sg:person.012400766577.71 schema:affiliation https://www.grid.ac/institutes/grid.5690.a
107 schema:familyName Malagón
108 schema:givenName Pedro
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012400766577.71
110 rdf:type schema:Person
111 sg:person.0606356734.19 schema:affiliation https://www.grid.ac/institutes/grid.5690.a
112 schema:familyName Vallejo
113 schema:givenName Juan Carlos
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0606356734.19
115 rdf:type schema:Person
116 sg:person.07662217004.56 schema:affiliation https://www.grid.ac/institutes/grid.5690.a
117 schema:familyName Moya
118 schema:givenName José M.
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07662217004.56
120 rdf:type schema:Person
121 https://doi.org/10.1109/percom.2005.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093855210
122 rdf:type schema:CreativeWork
123 https://www.grid.ac/institutes/grid.5690.a schema:alternateName Technical University of Madrid
124 schema:name Dpto. Ingeniería Electrónica, ETSI de Telecomunicación, Universidad Politécnica de Madrid, Ciudad Universitaria s/n, 28040, Madrid, Spain
125 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...