Generative Resident Separation and Multi-label Classification for Multi-person Activity Recognition-Reference-Cited by-同舟云学术

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Generative Resident Separation and Multi-label Classification for Multi-person Activity Recognition

Published:2024-03-11 Issue: Volume:27 Page:1-6
ISSN:
Container-title:2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
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Author:

Chen Xi¹,Cumin Julien¹,Ramparany Fano¹,Vaufreydaz Dominique²

Affiliation:

1. Orange Innovation,Grenoble,France

2. Univ. Grenoble Alpes, CNRS, Grenoble INP, LIG,Grenoble,France,38000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10502396/10502378/10502415.pdf?arnumber=10502415

Reference21 articles.

1. Sequence to sequence learning with neural networks;Sutskever;Advances in neural information processing systems,2014

2. Attributing events to individuals in multi-inhabitant environments

3. Unsupervised Recognition of Multi-Resident Activities in Smart-Homes

4. MICAR: multi-inhabitant context-aware activity recognition in home environments

5. Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart Homes

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