Database Covering the Previously Excluded Daily Life Activities

dc.contributor.author Mihçin, Şenay
dc.contributor.author Şahin, Ahmet Mert
dc.contributor.author Yılmaz, Mehmet
dc.contributor.author Alpkaya, Alican Tuncay
dc.contributor.author Tuna, Merve
dc.contributor.author Can, Nuray Korkmaz
dc.contributor.author Şahin, Serap
dc.contributor.author Akdeniz, Sevinç
dc.contributor.author Tosun, Aliye
dc.date.accessioned 2023-05-15T08:50:22Z
dc.date.available 2023-05-15T08:50:22Z
dc.date.issued 2023
dc.description You can access the datasets of the publication. https://aperta.ulakbim.gov.tr/record/252312#.ZGN4HHZBzcs en_US
dc.description.abstract In biomedical engineering, implants are designed according to the boundary conditions of gait data and tested against. However, due to diversity in cultural backgrounds, religious rituals might cause different ranges of motion and different loading patterns. Especially in the Eastern part of the world, diverse Activities of Daily Living (ADL) consist of salat, yoga rituals, and different style sitting postures. Although databases cover ADL for the Western population, a database covering these diverse activities of the Eastern world, specific to these populations is non-existent. To include previously excluded ADL is a key step in understanding the kinematics and kinetics of these activities. By means of developments in motion capture technologies, excluded ADL data are captured to obtain the coordinate values to calculate the range of motion and the joint reaction forces. This study focuses on data collection protocol and the creation of an online database of previously excluded ADL activities, targeting 200 healthy subjects via Qualisys and IMU motion capture systems, and force plates, from West and Middle East Asian populations. Anthropometrics are known to affect kinematics and kinetics which are also included in the collected data. The current version of the database covers 50 volunteers for 12 different activities, the database aims for 100- male and 100- female healthy volunteers as the final target including C3D and BVH file types. The tasks are defined and listed in a table to create a database to make a query based on age, gender, BMI, type of activity and motion capture system. The data is collected only from a healthy population to understand healthy motion patterns during these previously excluded ADLs. The collected data is to be used for designing implants to allow these sorts of activities to be performed without compromising the quality of life of patients performing these activities in the future. en_US
dc.identifier.citation Şenay Mihçin, Ahmet Mert Sahin, Mehmet Yılmaz, Alican Tuncay Alpkaya, Merve Tuna, Nuray Korkmaz Can, … Aliye Tosun. (2023, 14 May). Database Covering the Previously Excluded Daily Life Activities. doi:10.48623/aperta.252060 en_US
dc.identifier.doi 10.48623/aperta.252060
dc.identifier.uri https://doi.org/10.48623/aperta.252060
dc.identifier.uri https://doi.org/10.48623/aperta.252060
dc.identifier.uri https://hdl.handle.net/11147/13456
dc.language.iso en en_US
dc.relation Database covering the prayer movements which were not available previously
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Motion capture (MOCAP) systems en_US
dc.subject Kinematics en_US
dc.subject Kinetics en_US
dc.subject Databases en_US
dc.subject Daily life activities en_US
dc.subject Previously excluded daily life activities en_US
dc.title Database Covering the Previously Excluded Daily Life Activities en_US
dc.type Data Paper en_US
dspace.entity.type Publication
gdc.author.id 0000-0001-5077-8927
gdc.author.id 0000-0002-8016-8617
gdc.author.id 0000-0003-4208-0400
gdc.author.id 0000-0002-8859-8435
gdc.author.id 0000-0001-5077-8927 en_US
gdc.author.id 0000-0002-8016-8617 en_US
gdc.author.id 0000-0003-4208-0400 en_US
gdc.author.id 0000-0002-8859-8435 en_US
gdc.author.institutional Mihçin, Şenay
gdc.author.institutional Şahin, Ahmet Mert
gdc.author.institutional Yılmaz, Mehmet
gdc.author.institutional Alpkaya, Alican Tuncay
gdc.author.institutional Tuna, Merve
gdc.author.institutional Şahin, Serap
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C5
gdc.coar.access open access
gdc.coar.type text::journal::journal article::data paper
gdc.collaboration.industrial true
gdc.contributor.affiliation 01. Izmir Institute of Technology en_US
gdc.contributor.affiliation 01. Izmir Institute of Technology en_US
gdc.contributor.affiliation 01. Izmir Institute of Technology en_US
gdc.contributor.affiliation 01. Izmir Institute of Technology en_US
gdc.contributor.affiliation 01. Izmir Institute of Technology en_US
gdc.contributor.affiliation İstanbul Üniversitesi en_US
gdc.contributor.affiliation 01. Izmir Institute of Technology en_US
gdc.contributor.affiliation İzmir Katip Çelebi Üniversitesi en_US
gdc.contributor.affiliation Atatürk Araştırma Hastanesi en_US
gdc.description.department İzmir Institute of Technology. Mechanical Engineering en_US
gdc.description.department İzmir Institute of Technology. Computer Engineering en_US
gdc.description.publicationcategory Diğer en_US
gdc.description.scopusquality N/A
gdc.description.wosquality N/A
gdc.identifier.openalex W6910569723
gdc.oaire.impulse 1.0
gdc.oaire.influence 2.6877052E-9
gdc.oaire.keywords daily life activities
gdc.oaire.keywords previously excluded daily life activities
gdc.oaire.keywords kinematics
gdc.oaire.keywords kinetics
gdc.oaire.keywords motion capture systems
gdc.oaire.keywords database
gdc.oaire.popularity 3.5710168E-9
gdc.openalex.collaboration International
gdc.openalex.fwci 0.0
gdc.opencitations.count 1
relation.isAuthorOfPublication.latestForDiscovery 83e28646-87a9-4a94-bcc6-a83703dd6098
relation.isOrgUnitOfPublication.latestForDiscovery 9af2b05f-28ac-4014-8abe-a4dfe192da5e

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