Model-based real time analysis of distributed human activity recognition stages in wireless sensor networks-Reference-Cited by-同舟云学术

Model-based real time analysis of distributed human activity recognition stages in wireless sensor networks

Published:2019-09-09 Issue: Volume: Page:
ISSN:
Container-title:Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
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Author:

Grützmacher Florian¹,Beichler Benjamin¹,Haubelt Christian¹

Affiliation:

1. University of Rostock, Rostock, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3341162.3343845

Reference8 articles.

1. Cycle-static dataflow

2. Bosch Sensortec. 2017. BHI160 / BHI160B - Ultra low-power sensor hub incl. integrated imu. BST-BHI160(B)-DS000-01. Bosch Sensortec. 2017. BHI160 / BHI160B - Ultra low-power sensor hub incl. integrated imu. BST-BHI160(B)-DS000-01.

3. Andreas Bulling Ulf Blanke and Bernt Schiele. 2014. A Tutorial on Human Activity Recognition Using Body-worn Inertial Sensors. ACM Computing Surveys (CSUR) 46 3 Article 33 (jan 2014) 33 pages. 10.1145/2499621 Andreas Bulling Ulf Blanke and Bernt Schiele. 2014. A Tutorial on Human Activity Recognition Using Body-worn Inertial Sensors. ACM Computing Surveys (CSUR) 46 3 Article 33 (jan 2014) 33 pages. 10.1145/2499621

4. Model-Based Design of Energy-Efficient Human Activity Recognition Systems with Wearable Sensors

5. Computational State Space Models for Activity and Intention Recognition. A Feasibility Study

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