<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Sit-To Stand Video with Landmark Dataset</titl><IDNo agency="DOI">doi:10.34820/FK2/VAEGNR</IDNo></titlStmt><distStmt><distrbtr source="archive">Telkom University Dataverse</distrbtr><distDate>2024-10-28</distDate></distStmt><verStmt source="archive"><version date="2024-10-28" type="RELEASED">1</version></verStmt><biblCit>Rizal, Achmad; Erfianto, Bayu; Hadiyoso, Sugondo; Istiqomah, Istiqomah, 2024, "Sit-To Stand Video with Landmark Dataset", https://doi.org/10.34820/FK2/VAEGNR, Telkom University Dataverse, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Sit-To Stand Video with Landmark Dataset</titl><IDNo agency="DOI">doi:10.34820/FK2/VAEGNR</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Telkom University">Rizal, Achmad</AuthEnty><AuthEnty affiliation="Telkom University">Erfianto, Bayu</AuthEnty><AuthEnty affiliation="Telkom University">Hadiyoso, Sugondo</AuthEnty><AuthEnty affiliation="Telkom University">Istiqomah, Istiqomah</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Telkom University Dataverse</distrbtr><contact affiliation="Telkom University" email="achmadrizal@telkomuniversity.ac.id">Rizal, Achmad</contact><depositr>Rizal, Achmad</depositr><depDate>2024-10-28</depDate></distStmt></citation><stdyInfo><subject><keyword>Computer and Information Science</keyword><keyword>Medicine, Health and Life Sciences</keyword><keyword>sit-to-stand</keyword><keyword>PoseNet</keyword></subject><abstract date="2024-10-28">The following is a video data collection on healthy subjects' sit-to-stand transition (STS). Each subject consists of 2 videos, namely the subject before and after the exercise.
It is expected that after doing the exercise, the subject will experience fatigue in his knees so that the inconsistency of the knee trajectory can be observed.
Landmarking has been done in the video so that the joints involved in the STS can be seen.
In addition to the video, STS landmarks are provided as Excel files to facilitate signal analysis.</abstract><sumDscr/></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><notes type="DVN:TOU" level="dv">CC0 Waiver</notes><setAvail/><useStmt/></dataAccs><othrStdyMat><relPubl><citation><titlStmt><IDNo agency="doi">10.3390/ijerph20053879</IDNo></titlStmt><biblCit>Erfianto, B., Rizal, A., &amp; Hadiyoso, S. (2023). Empirical mode decomposition and Hilbert spectrum for abnormality detection in normal and abnormal walking transitions. 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