Quantization with Gate Disclosure for Embedded Artificial Intelligence Applied to Fall Detection-Reference-Cited by-同舟云学术

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Quantization with Gate Disclosure for Embedded Artificial Intelligence Applied to Fall Detection

Published:2024-09-04 Issue: Volume:33 Page:84-87
ISSN:
Container-title:Proceedings of the 2024 International Conference on Information Technology for Social Good
language:
Short-container-title:

Author:

Correia Sérgio D.¹^ORCID,Matos-Carvalho João P.²^ORCID,Tomic Slavisa²^ORCID

Affiliation:

1. VALORIZA, Instituto Politécnico de Portalegre, Portugal and Center of Technology and Systems (UNINOVA-CTS) and Associated Lab of Intelligent Systems (LASI), Portugal

2. Center of Technology and Systems (UNINOVA-CTS) and Associated Lab of Intelligent Systems (LASI), Portugal and COPELABS, Lusófona University, Portugal

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3677525.3678644

Reference27 articles.

1. Fall detection system for older adults

2. Human activity recognition from smart watch sensor data using a hybrid of principal component analysis and random forest algorithm

3. Mobile Phone Use by the Elderly: Relationship between Usability, Social Activity, and the Environment

4. Human fall detection with smartphones

5. A Feed-Forward Neural Network Approach for Energy-Based Acoustic Source Localization

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