A survey on the use of machine learning methods in context-aware middlewares for human activity recognition-Reference-Cited by-同舟云学术

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A survey on the use of machine learning methods in context-aware middlewares for human activity recognition

Published:2021-10-26 Issue: Volume: Page:
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Miranda Leandro,Viterbo José,Bernardini Flávia

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

https://link.springer.com/content/pdf/10.1007/s10462-021-10094-0.pdf

Reference92 articles.

1. Abdallah ZS, Gaber MM, Srinivasan B, Krishnaswamy S (2018) Activity recognition with evolving data streams: a review. ACM Comput Surv 51(4):71:1-71:36

2. Abowd GD, Dey AK, Brown PJ, Davies N, Smith M, Steggles P (1999) Towards a better understanding of context and context-awareness. In: International symposium on handheld and ubiquitous computing. Springer, pp 304–307

3. Adelsberger R, Tröster G (2013) Pimu: a wireless pressure-sensing imu. In: Intelligent sensors, sensor networks and information processing, 2013 IEEE 8th international conference on. IEEE, pp 271–276

4. Alam MGR, Haw R, Kim SS, Azad MAK, Abedin SF, Hong CS (2016) Em-psychiatry: an ambient intelligent system for psychiatric emergency. IEEE Trans Ind Inf 12(6):2321–2330

5. Alti A, Laborie S, Roose P (2015) Cloud semantic-based dynamic multimodal platform for building mhealth context-aware services. In: 2015 IEEE 11th international conference on wireless and mobile computing, networking and communications (WiMob), pp 357–364. https://doi.org/10.1109/WiMOB.2015.7347984

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