Human Activity Recognition Using Wearable Sensors: Review, Challenges, Evaluation Benchmark-Reference-Cited by-同舟云学术

Human Activity Recognition Using Wearable Sensors: Review, Challenges, Evaluation Benchmark

Published:2021 Issue: Volume: Page:1-15
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Abdel-Salam Reem^ORCID,Mostafa Rana^ORCID,Hadhood Mayada^ORCID

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-0575-8_1

Reference24 articles.

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2. Anguita, D., Ghio, A., Oneto, L., Parra, X., Reyes-Ortiz, J.L.: A public domain dataset for human activity recognition using smartphones. In: ESANN (2013)

3. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);A Bevilacqua,2019

4. Bruno, B., Mastrogiovanni, F., Sgorbissa, A.: Wearable inertial sensors: applications, challenges, and public test benches. IEEE Robot. Autom. Mag. 22, 116–124 (2015). https://doi.org/10.1109/MRA.2015.2448279

5. Burns, D.M., Whyne, C.M.: Personalized activity recognition with deep triplet embeddings. arXiv abs/2001.05517 (2020)

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