Identification of Gait Patterns Related to Health Problems of Elderly
Identifieur interne : 000268 ( Main/Exploration ); précédent : 000267; suivant : 000269Identification of Gait Patterns Related to Health Problems of Elderly
Auteurs : Bogdan Pogorelc [Slovénie] ; Matjaž Gams [Slovénie]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: A system for automatic identification of gait patterns related to health problems of elderly for the purpose of supporting their independent living is proposed in this paper. The gait of the user is captured with the motion capture system, which consists of tags attached to the body and sensors situated in the apartment. Position of the tags is acquired by the sensors and the resulting time series of position coordinates are analyzed with machine learning algorithms in order to identify the specific health problem. We propose novel features for training a machine learning classifier that classifies the user’s gait into: i) normal, ii) with hemiplegia, iii) with Parkinson’s disease, iv) with pain in the back and v) with pain in the leg. Results show that naive Bayes needs more tags and less noise to reach classification accuracy of 98 % than random forest for 99 %.
Url:
DOI: 10.1007/978-3-642-16355-5_16
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 000412
- to stream Istex, to step Curation: 000254
- to stream Istex, to step Checkpoint: 000082
- to stream Main, to step Merge: 000268
- to stream Main, to step Curation: 000268
Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Identification of Gait Patterns Related to Health Problems of Elderly</title>
<author><name sortKey="Pogorelc, Bogdan" sort="Pogorelc, Bogdan" uniqKey="Pogorelc B" first="Bogdan" last="Pogorelc">Bogdan Pogorelc</name>
</author>
<author><name sortKey="Gams, Matjaz" sort="Gams, Matjaz" uniqKey="Gams M" first="Matjaž" last="Gams">Matjaž Gams</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:1B6284A2B95D8680237B728C02638ED6B4A9872C</idno>
<date when="2010" year="2010">2010</date>
<idno type="doi">10.1007/978-3-642-16355-5_16</idno>
<idno type="url">https://api.istex.fr/document/1B6284A2B95D8680237B728C02638ED6B4A9872C/fulltext/pdf</idno>
<idno type="wicri:Area/Istex/Corpus">000412</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000412</idno>
<idno type="wicri:Area/Istex/Curation">000254</idno>
<idno type="wicri:Area/Istex/Checkpoint">000082</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Checkpoint">000082</idno>
<idno type="wicri:doubleKey">0302-9743:2010:Pogorelc B:identification:of:gait</idno>
<idno type="wicri:Area/Main/Merge">000268</idno>
<idno type="wicri:Area/Main/Curation">000268</idno>
<idno type="wicri:Area/Main/Exploration">000268</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Identification of Gait Patterns Related to Health Problems of Elderly</title>
<author><name sortKey="Pogorelc, Bogdan" sort="Pogorelc, Bogdan" uniqKey="Pogorelc B" first="Bogdan" last="Pogorelc">Bogdan Pogorelc</name>
<affiliation wicri:level="1"><country xml:lang="fr">Slovénie</country>
<wicri:regionArea>Department of Intelligent Systems, Jožef Stefan Institute, Jamova 39, Ljubljana</wicri:regionArea>
<wicri:noRegion>Ljubljana</wicri:noRegion>
</affiliation>
<affiliation wicri:level="1"><country xml:lang="fr">Slovénie</country>
<wicri:regionArea>Špica International d. o. o., Pot k sejmišču 33, Ljubljana</wicri:regionArea>
<wicri:noRegion>Ljubljana</wicri:noRegion>
</affiliation>
<affiliation wicri:level="1"><country wicri:rule="url">Slovénie</country>
</affiliation>
</author>
<author><name sortKey="Gams, Matjaz" sort="Gams, Matjaz" uniqKey="Gams M" first="Matjaž" last="Gams">Matjaž Gams</name>
<affiliation wicri:level="1"><country xml:lang="fr">Slovénie</country>
<wicri:regionArea>Department of Intelligent Systems, Jožef Stefan Institute, Jamova 39, Ljubljana</wicri:regionArea>
<wicri:noRegion>Ljubljana</wicri:noRegion>
</affiliation>
<affiliation wicri:level="1"><country xml:lang="fr">Slovénie</country>
<wicri:regionArea>Špica International d. o. o., Pot k sejmišču 33, Ljubljana</wicri:regionArea>
<wicri:noRegion>Ljubljana</wicri:noRegion>
</affiliation>
<affiliation wicri:level="1"><country wicri:rule="url">Slovénie</country>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series><title level="s">Lecture Notes in Computer Science</title>
<imprint><date>2010</date>
</imprint>
<idno type="ISSN">0302-9743</idno>
<idno type="eISSN">1611-3349</idno>
<idno type="ISSN">0302-9743</idno>
</series>
<idno type="istex">1B6284A2B95D8680237B728C02638ED6B4A9872C</idno>
<idno type="DOI">10.1007/978-3-642-16355-5_16</idno>
<idno type="ChapterID">16</idno>
<idno type="ChapterID">Chap16</idno>
</biblStruct>
</sourceDesc>
<seriesStmt><idno type="ISSN">0302-9743</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass></textClass>
<langUsage><language ident="en">en</language>
</langUsage>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Abstract: A system for automatic identification of gait patterns related to health problems of elderly for the purpose of supporting their independent living is proposed in this paper. The gait of the user is captured with the motion capture system, which consists of tags attached to the body and sensors situated in the apartment. Position of the tags is acquired by the sensors and the resulting time series of position coordinates are analyzed with machine learning algorithms in order to identify the specific health problem. We propose novel features for training a machine learning classifier that classifies the user’s gait into: i) normal, ii) with hemiplegia, iii) with Parkinson’s disease, iv) with pain in the back and v) with pain in the leg. Results show that naive Bayes needs more tags and less noise to reach classification accuracy of 98 % than random forest for 99 %.</div>
</front>
</TEI>
<affiliations><list><country><li>Slovénie</li>
</country>
</list>
<tree><country name="Slovénie"><noRegion><name sortKey="Pogorelc, Bogdan" sort="Pogorelc, Bogdan" uniqKey="Pogorelc B" first="Bogdan" last="Pogorelc">Bogdan Pogorelc</name>
</noRegion>
<name sortKey="Gams, Matjaz" sort="Gams, Matjaz" uniqKey="Gams M" first="Matjaž" last="Gams">Matjaž Gams</name>
<name sortKey="Gams, Matjaz" sort="Gams, Matjaz" uniqKey="Gams M" first="Matjaž" last="Gams">Matjaž Gams</name>
<name sortKey="Gams, Matjaz" sort="Gams, Matjaz" uniqKey="Gams M" first="Matjaž" last="Gams">Matjaž Gams</name>
<name sortKey="Pogorelc, Bogdan" sort="Pogorelc, Bogdan" uniqKey="Pogorelc B" first="Bogdan" last="Pogorelc">Bogdan Pogorelc</name>
<name sortKey="Pogorelc, Bogdan" sort="Pogorelc, Bogdan" uniqKey="Pogorelc B" first="Bogdan" last="Pogorelc">Bogdan Pogorelc</name>
</country>
</tree>
</affiliations>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Psychologie/explor/DanceTherParkinsonV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000268 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000268 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Wicri/Psychologie |area= DanceTherParkinsonV1 |flux= Main |étape= Exploration |type= RBID |clé= ISTEX:1B6284A2B95D8680237B728C02638ED6B4A9872C |texte= Identification of Gait Patterns Related to Health Problems of Elderly }}
This area was generated with Dilib version V0.6.35. |