Towards Segmentation and Labelling of Motion Data in Manufacturing Scenarios-Reference-Cited by-同舟云学术

Towards Segmentation and Labelling of Motion Data in Manufacturing Scenarios

Published:2022 Issue: Volume: Page:80-101
ISSN:1865-0929
Container-title:Biomedical Engineering Systems and Technologies
language:
Short-container-title:

Author:

Santos António^ORCID,Rodrigues João^ORCID,Folgado Duarte^ORCID,Santos Sara,Fujão Carlos,Gamboa Hugo^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-20664-1_5

Reference27 articles.

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2. Roh, Y., Heo, G., Whang, S.E.: A survey on data collection for machine learning: a big data - AI integration perspective. IEEE Trans. Knowl. Data Eng. 33(4), 1328–1347 (2021). https://doi.org/10.1109/TKDE.2019.2946162

3. Santos, A., Rodrigues, J., Folgado, D., Santos, S., Fujão, C., Gamboa, H.: Self-similarity matrix of morphological features for motion data analysis in manufacturing scenarios. In: Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS, ISBN 978-989-758-490-9, ISSN 2184-4305, pp. 80-90 (2021). https://doi.org/10.5220/0010252800800090

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5. Heldt, T., Oefinger, M.B., Hoshiyama, M., Mark, R.G.: Circulatory response to passive and active changes in posture. Comput. Cardiol. 30, 263–266 (2003)