Deep Learning-Based Action Detection for Continuous Quality Control in Interactive Assistance Systems-Reference-Cited by-同舟云学术

Deep Learning-Based Action Detection for Continuous Quality Control in Interactive Assistance Systems

Published:2022-12-14 Issue: Volume: Page:127-149
ISSN:
Container-title:Human-Technology Interaction
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Author:

Besginow Andreas,Büttner Sebastian,Ukita Norimichi,Röcker Carsten

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-99235-4_5

Reference51 articles.

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3. Um, J., Lyons, A., KSL, H., Cheng, T. C. E., & Dominguez-Pery, C. (2017). Productvarietymanagement and supply chain performance: A capability perspective on their relationships and competitiveness implications. International Journal of Production Economics, 187(2017), 15–26.

4. Wan, X., & Sanders, N. R. (2017). The negative impact of product variety: Forecast bias, inventory levels, and the role of vertical integration. International Journal of Production Economics, 186(2017), 123–131.

5. Büttner, S., Funk, M., Sand, O., & Röcker, C. (2016). Using head-mounted displays and in-situ projection for assistive systems: A comparison. In Proceedings of the 9th ACM international conference on pervasive technologies related to assistive environments (pp. 1–8). Springer.

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