Evaluation of Five Classifiers for Children Activity Recognition with Sound as Information Source and Akaike Criterion for Feature Selection-Reference-Cited by-同舟云学术

Evaluation of Five Classifiers for Children Activity Recognition with Sound as Information Source and Akaike Criterion for Feature Selection

Published:2019 Issue: Volume: Page:398-407
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

García-Domínguez Antonio,Zanella-Calzada Laura A.,Galván-Tejada Carlos E.,Galván-Tejada Jorge I.,Celaya-Padilla José M.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-21077-9_37

Reference27 articles.

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2. Shaikh, M.A.M., Hirose, K., Ishizuk, M.: Recognition of real-world activities from environmental sound cues to create life-log. In: The Systemic Dimension of Globalization, January 2011

3. Aggarwal, J., Xia, L.: Human activity recognition from 3D data: a review. Pattern Recogn. Lett. 48, 70–80 (2014)

4. Chen, B., Fan, Z., Cao, F.: Activity recognition based on streaming sensor data for assisted living in smart homes. In: 2015 International Conference on Intelligent Environments (2015)

5. Vrigkas, M., Nikou, C., Kakadiaris, I.A.: A review of human activity recognition methods. Front. Robot. AI 2, 28 (2015)

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