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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."],"keywords":["Computer and Information Science","Medicine, Health and Life Sciences","sit-to-stand","PoseNet"],"citation":[{"@type":"CreativeWork","text":"Erfianto, B., Rizal, A., & Hadiyoso, S. (2023). Empirical mode decomposition and Hilbert spectrum for abnormality detection in normal and abnormal walking transitions. International Journal of Environmental Research and Public Health, 20(5), 3879.","@id":"https://www.mdpi.com/1660-4601/20/5/3879","identifier":"https://www.mdpi.com/1660-4601/20/5/3879"}],"license":{"@type":"Dataset","text":"CC0","url":"https://creativecommons.org/publicdomain/zero/1.0/"},"includedInDataCatalog":{"@type":"DataCatalog","name":"Telkom University Dataverse","url":"https://dataverse.telkomuniversity.ac.id"},"publisher":{"@type":"Organization","name":"Telkom University Dataverse"},"provider":{"@type":"Organization","name":"Telkom University 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