Sit-To Stand Video with Landmark Datasethttps://doi.org/10.34820/FK2/VAEGNRRizal, AchmadErfianto, BayuHadiyoso, SugondoIstiqomah, IstiqomahTelkom University Dataverse2024-10-282024-10-28T04:48:53ZThe 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.Computer and Information ScienceMedicine, Health and Life Sciencessit-to-standPoseNetEnglishErfianto, 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., doi, 10.3390/ijerph20053879, https://www.mdpi.com/1660-4601/20/5/3879Rizal, Achmad2024-10-28CC0CC0 Waiver