Publicação
Automatic detection of stereotyped hand flapping movements : two different approaches
| Resumo: | Stereotypical motor movements are one of the most common and least understood behaviors occurring in individuals with Autism Spectrum Disorder (ASD). The traditional methods for recording the number of occurrences and duration of stereotypies are insufficient and time consuming. Thus the objective of this study is to automatically detect stereotypical motor movements in real time considering two different approaches. The first approach uses the Microsoft sensor Kinect and gesture recognition algorithms. The second approach uses a trademark device of Texas Instruments with built-in accelerometers and statistical methods to recognize stereotyped movements. The two proposed systems were tested in children with Autism Spectrum Disorders (ASD) and the results are compared. This study provides a valuable tool to monitor stereotypes in order to understand and to cope with this problematic. In the end, it facilitates the identification of relevant behavioral patterns when studying interaction skills in children with ASD. |
|---|---|
| Autores principais: | Gonçalves, Nuno |
| Outros Autores: | Rodrigues, José L.; Costa, Sandra; Soares, Filomena |
| Assunto: | Stereotypical motor movements Kinect sensor Accelerometer Gesture recognition ASD |
| Ano: | 2012 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| _version_ | 1866269920220676096 |
|---|---|
| author | Gonçalves, Nuno |
| author2 | Rodrigues, José L. Costa, Sandra Soares, Filomena |
| author2_role | author author author |
| author_facet | Gonçalves, Nuno Rodrigues, José L. Costa, Sandra Soares, Filomena |
| author_role | author |
| contributor_name_str_mv | Universidade do Minho |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Gonçalves, Nuno\"},{\"Person.name\":\"Rodrigues, José L.\"},{\"Person.name\":\"Costa, Sandra\"},{\"Person.name\":\"Soares, Filomena\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Universidade do Minho |
| datacite.creators.creator.creatorName.fl_str_mv | Gonçalves, Nuno Rodrigues, José L. Costa, Sandra Soares, Filomena |
| datacite.date.Accepted.fl_str_mv | 2012-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2012-12-10T16:14:15Z |
| datacite.date.embargoed.fl_str_mv | 2012-12-10T16:14:15Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Stereotypical motor movements Kinect sensor Accelerometer Gesture recognition ASD |
| datacite.titles.title.fl_str_mv | Automatic detection of stereotyped hand flapping movements : two different approaches |
| dc.contributor.none.fl_str_mv | Universidade do Minho |
| dc.creator.none.fl_str_mv | Gonçalves, Nuno Rodrigues, José L. Costa, Sandra Soares, Filomena |
| dc.date.Accepted.fl_str_mv | 2012-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2012-12-10T16:14:15Z |
| dc.date.embargoed.fl_str_mv | 2012-12-10T16:14:15Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://hdl.handle.net/1822/21375 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | IEEE |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Stereotypical motor movements Kinect sensor Accelerometer Gesture recognition ASD |
| dc.title.fl_str_mv | Automatic detection of stereotyped hand flapping movements : two different approaches |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| description | Stereotypical motor movements are one of the most common and least understood behaviors occurring in individuals with Autism Spectrum Disorder (ASD). The traditional methods for recording the number of occurrences and duration of stereotypies are insufficient and time consuming. Thus the objective of this study is to automatically detect stereotypical motor movements in real time considering two different approaches. The first approach uses the Microsoft sensor Kinect and gesture recognition algorithms. The second approach uses a trademark device of Texas Instruments with built-in accelerometers and statistical methods to recognize stereotyped movements. The two proposed systems were tested in children with Autism Spectrum Disorders (ASD) and the results are compared. This study provides a valuable tool to monitor stereotypes in order to understand and to cope with this problematic. In the end, it facilitates the identification of relevant behavioral patterns when studying interaction skills in children with ASD. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | conferencePaper |
| fulltext.url.fl_str_mv | https://prod-dspace.uminho.pt/bitstreams/4865f127-eed4-4088-9165-dd480823bf07/download |
| id | rum_f8d7753f4e83cea5d7d88d20e9d453f0 |
| identifier.url.fl_str_mv | https://hdl.handle.net/1822/21375 |
| instacron_str | repositorium |
| institution | Universidade do Minho |
| instname_str | Universidade do Minho |
| language | eng |
| network_acronym_str | rum |
| network_name_str | RepositóriUM - Universidade do Minho |
| oai_identifier_str | oai:repositorium.uminho.pt:1822/21375 |
| organization_str_mv | urn:organizationAcronym:repositorium |
| person_str_mv | Gonçalves, Nuno Rodrigues, José L. Costa, Sandra Soares, Filomena |
| publishDate | 2012 |
| publisher.none.fl_str_mv | IEEE |
| reponame_str | RepositóriUM - Universidade do Minho |
| repository_id_str | urn:repositoryAcronym:rum |
| service_str_mv | urn:repositoryAcronym:rum |
| spelling | engIEEEporStereotypical motor movements are one of the most common and least understood behaviors occurring in individuals with Autism Spectrum Disorder (ASD). The traditional methods for recording the number of occurrences and duration of stereotypies are insufficient and time consuming. Thus the objective of this study is to automatically detect stereotypical motor movements in real time considering two different approaches. The first approach uses the Microsoft sensor Kinect and gesture recognition algorithms. The second approach uses a trademark device of Texas Instruments with built-in accelerometers and statistical methods to recognize stereotyped movements. The two proposed systems were tested in children with Autism Spectrum Disorders (ASD) and the results are compared. This study provides a valuable tool to monitor stereotypes in order to understand and to cope with this problematic. In the end, it facilitates the identification of relevant behavioral patterns when studying interaction skills in children with ASD.application/pdfporAutomatic detection of stereotyped hand flapping movements : two different approachesGonçalves, NunoRodrigues, José L.Costa, SandraSoares, FilomenaHostingInstitutionOrganizationalUniversidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptISBNIsPartOf9781467346054DOIIsPartOf10.1109/ROMAN.2012.63437842012-12-10T16:14:15Z20122012-01-01T00:00:00ZHandlehttps://hdl.handle.net/1822/21375http://purl.org/coar/access_right/c_abf2open accessStereotypical motor movementsKinect sensorAccelerometerGesture recognitionASD892124 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paperhttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://prod-dspace.uminho.pt/bitstreams/4865f127-eed4-4088-9165-dd480823bf07/download |
| spellingShingle | Automatic detection of stereotyped hand flapping movements : two different approaches Gonçalves, Nuno Stereotypical motor movements Kinect sensor Accelerometer Gesture recognition ASD |
| status | SINGLETON |
| subject.fl_str_mv | Stereotypical motor movements Kinect sensor Accelerometer Gesture recognition ASD |
| title | Automatic detection of stereotyped hand flapping movements : two different approaches |
| title_full | Automatic detection of stereotyped hand flapping movements : two different approaches |
| title_fullStr | Automatic detection of stereotyped hand flapping movements : two different approaches |
| title_full_unstemmed | Automatic detection of stereotyped hand flapping movements : two different approaches |
| title_short | Automatic detection of stereotyped hand flapping movements : two different approaches |
| title_sort | Automatic detection of stereotyped hand flapping movements : two different approaches |
| topic | Stereotypical motor movements Kinect sensor Accelerometer Gesture recognition ASD |
| topic_facet | Stereotypical motor movements Kinect sensor Accelerometer Gesture recognition ASD |
| url | https://hdl.handle.net/1822/21375 |
| visible | 1 |