Hand-Arm Vibration Monitoring via Embedded Machine Learning on Low Power Wearable Devices-Reference-Cited by-同舟云学术

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Hand-Arm Vibration Monitoring via Embedded Machine Learning on Low Power Wearable Devices

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Symposium on Measurements & Networking (M&N)
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Author:

Fort Ada¹,Landi Elia¹,Moretti Riccardo¹,Parri Lorenzo¹,Peruzzi Giacomo¹,Pozzebon Alessandro²

Affiliation:

1. University of Siena,Department of Information Engineering and Mathematics,Siena,Italy

2. University of Padova,Department of Information Engineering,Padova,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9887622/9887532/09887747.pdf?arnumber=9887747

Reference29 articles.

1. AIoT Solution Survey and Comparison in Machine Learning on Low-cost Microcontroller

2. Edge machine learning for ai-enabled iot devices: A review;merenda;SENSORS,2020

3. Quasi-Real Time Remote Video Surveillance Unit for LoRaWAN-based Image Transmission

4. Autonomous Bot Using Machine Learning and Computer Vision

5. A Multi-Layer LoRaWAN Infrastructure for Smart Waste Management

Cited by 1 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

1. A Low-Complexity FPGA-Based Neural Network for Hand-Arm Vibrations Classification;2023 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT);2023-06-06

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