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

Published: 09 September 2019 Publication History

Abstract

In the paper at hand, a model-based design and energy estimation approach for wireless sensor nodes in human activity recognition systems is extended. Entire wireless body area sensor networks are modeled and analyzed w.r.t. their real time capabilities of different software mappings on a system level.

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Frank Krüger, Martin Nyolt, Kristina Yordanova, Albert Hein, and Thomas Kirste. 2014. Computational state space models for activity and intention recognition. A feasibility study. PloS one 9, 11 (2014), e109381.
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Cited By

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  • (2021)Real-Time Capable Sensor Data Analysis-Framework for Intelligent Assistance SystemsData Acquisition - Recent Advances and Applications in Biomedical Engineering10.5772/intechopen.93735Online publication date: 17-Mar-2021

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

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      cover image ACM Conferences
      UbiComp/ISWC '19 Adjunct: 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
      September 2019
      1234 pages
      ISBN:9781450368698
      DOI:10.1145/3341162
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Publication History

      Published: 09 September 2019

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      Author Tags

      1. activity recognition
      2. real-time analysis
      3. wireless sensors

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      Overall Acceptance Rate 764 of 2,912 submissions, 26%

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      • (2021)Real-Time Capable Sensor Data Analysis-Framework for Intelligent Assistance SystemsData Acquisition - Recent Advances and Applications in Biomedical Engineering10.5772/intechopen.93735Online publication date: 17-Mar-2021

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