Deep learning for human activity recognition: A resource efficient implementation on low-power devices-Reference-Cited by-同舟云学术

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Deep learning for human activity recognition: A resource efficient implementation on low-power devices

Published:2016-06 Issue: Volume: Page:
ISSN:
Container-title:2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN)
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Author:

Ravi Daniele,Wong Charence,Lo Benny,Yang Guang-Zhong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7506173/7516211/07516235.pdf?arnumber=7516235

Cited by 182 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity Recognition;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-08-22

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4. Edge-AI on Wearable Devices: Myocardial Infarction Detection with Spectrogram and 1D-CNN;2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON);2024-06-25

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