Classifying simple human activity using synthetic accelerometer data-Reference-Cited by-同舟云学术

Classifying simple human activity using synthetic accelerometer data

Published:2022-09-07 Issue: Volume: Page:
ISSN:
Container-title:XXII International Conference on Human Computer Interaction
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Author:

Cárdenas Bonnet Marlon¹,Bautista Susana²

Affiliation:

1. Sopra Steria, Spain and Universidad Francisco de Vitoria, Spain

2. Universidad Francisco de Vitoria, Spain

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3549865.3549899

Reference12 articles.

1. A Survey on Ambient Intelligence in Healthcare

2. Grasia UCM AIDE. 2014. AIDE Framework. http://grasia.fdi.ucm.es/aide/. (Accessed on 02/12/2019). Grasia UCM AIDE. 2014. AIDE Framework. http://grasia.fdi.ucm.es/aide/. (Accessed on 02/12/2019).

3. Tomas Akenine-Moller Eric Haines and Naty Hoffman. 2018. Real-time rendering. AK Peters/CRC Press. Tomas Akenine-Moller Eric Haines and Naty Hoffman. 2018. Real-time rendering. AK Peters/CRC Press.

4. Marlon Cárdenas , Jorge Gómez Sanz , and Juan Pavón . 2018 . Testing Ambient Assisted Living Solutions with Simulations. In IFIP International Conference on Testing Software and Systems. Springer, 56–61 . Marlon Cárdenas, Jorge Gómez Sanz, and Juan Pavón. 2018. Testing Ambient Assisted Living Solutions with Simulations. In IFIP International Conference on Testing Software and Systems. Springer, 56–61.

5. Gianpaolo Cugola and Alessandro Margara . 2012. Processing Flows of Information: From Data Stream to Complex Event Processing. ACM Comput. Surv. 44, 3 , Article 15 (June 2012 ), 62 pages. https://doi.org/10.1145/2187671.2187677 Gianpaolo Cugola and Alessandro Margara. 2012. Processing Flows of Information: From Data Stream to Complex Event Processing. ACM Comput. Surv. 44, 3, Article 15 (June 2012), 62 pages. https://doi.org/10.1145/2187671.2187677