Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs-Reference-Cited by-同舟云学术

Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs

Published:2022-06-12 Issue: Volume: Page:
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Container-title:2022 17th Conference on Ph.D Research in Microelectronics and Electronics (PRIME)
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Author:

Daghero Francesco¹,Pagliari Daniele Jahier¹,Poncino Massimo¹

Affiliation:

1. DAUIN, Politecnico di Torino,Turin,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9816371/9816743/09816745.pdf?arnumber=9816745

Reference15 articles.

1. Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers

2. Optimized Hierarchical Cascaded Processing

3. Transition-Aware Human Activity Recognition Using Smartphones

4. Gradient-based learning applied to document recognition

5. Always-on 674 ? w@ 4gop/s error resilient binary neural networks with aggressive sram voltage scaling on a 22-nm iot end-node;di mauro;IEEE TCAS-I,2020

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