Sit-To Stand Video with Landmark Dataset

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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

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Description	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. (2024-10-28)
Subject	Computer and Information Science; Medicine, Health and Life Sciences
Keyword	sit-to-stand, PoseNet
Related Publication	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. doi: 10.3390/ijerph20053879

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	out_Subject_10_after.mp4 MPEG-4 Video - 71.5 MB - Oct 28, 2024 - 0 Downloads MD5: 099ebc9f4a00c902781bdc00abf65796	Access File Download Options Download
	out_Subject_10_before.mp4 MPEG-4 Video - 75.5 MB - Oct 28, 2024 - 0 Downloads MD5: ab374f3968278a221f51436355d95fd6	Access File Download Options Download
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	out_Subject_11_before.mp4 MPEG-4 Video - 14.4 MB - Oct 28, 2024 - 0 Downloads MD5: 015293642eb8561e91703a75b431d0ef	Access File Download Options Download
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	out_Subject_12_before.mp4 MPEG-4 Video - 11.5 MB - Oct 28, 2024 - 0 Downloads MD5: 040c4920c07f4868a24fd815dd95c262	Access File Download Options Download
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	out_Subject_13_before.mp4 MPEG-4 Video - 13.3 MB - Oct 28, 2024 - 0 Downloads MD5: 83120f99af194e7ac6ee29b7550c800c	Access File Download Options Download
	out_Subject_14_after.mp4 MPEG-4 Video - 13.7 MB - Oct 28, 2024 - 0 Downloads MD5: fda36e8e61b8459c1d974b68dfbee1c5	Access File Download Options Download
	out_Subject_14_before.mp4 MPEG-4 Video - 12.4 MB - Oct 28, 2024 - 0 Downloads MD5: 08f91eed314101b01c5c9fd386348f59	Access File Download Options Download

Citation Metadata

Dataset Persistent ID	doi:10.34820/FK2/VAEGNR
Publication Date	2024-10-28
Title	Sit-To Stand Video with Landmark Dataset
Author	Rizal, Achmad (Telkom University) - ScopusID: 56081149400 Erfianto, Bayu (Telkom University) - ScopusID: 24723949000 Hadiyoso, Sugondo (Telkom University) - ScopusID: 56412012500 Istiqomah, Istiqomah (Telkom University) - ScopusID: 57220047425
Contact	Use email button above to contact. Rizal, Achmad (Telkom University)
Description	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. (2024-10-28)
Subject	Computer and Information Science; Medicine, Health and Life Sciences
Keyword	sit-to-stand PoseNet
Related Publication	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. doi: 10.3390/ijerph20053879 https://www.mdpi.com/1660-4601/20/5/3879
Language	English
Depositor	Rizal, Achmad
Deposit Date	2024-10-28

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