An Embedded Sensing Methodology for the Classification of Activity Rate

Bruno Andò, Mattia Manenti, Danilo Greco, Antonio Pistorio. An Embedded Sensing Methodology for the Classification of Activity Rate. In IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2024, St Albans, United Kingdom, October 21-23, 2024. pages 624-628, IEEE, 2024. [doi]

Abstract

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