Towards supervised real-time human activity recognition on embedded equipment
Author:
Affiliation:
1. Lab-STICC,IMT Atlantique,Brest,France
2. Delta Dore Company,Bonnemain,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9826870/9826904/09826937.pdf?arnumber=9826937
Reference42 articles.
1. Wireless Edge Computing With Latency and Reliability Guarantees
2. Rethinking Pruning for Accelerating Deep Inference At the Edge
3. Edge computing framework for wearable sensor-based human activity recognition;salkic;International Symposium on Innovative And Interdisciplinary Applications of Advanced Technologies,2019
4. An edge-stream computing infrastructure for real-time analysis of wearable sensors data
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