Detecting Human Activities Based on a Multimodal Sensor Data Set Using a Bidirectional Long Short-Term Memory Model: A Case Study
Silvano Ramos de Assis NetoUniversidade de Pernambuco, Pernambuco, BrazilGuto Leoni SantosUniversidade Federal de Pernambuco, Pernambuco, BrazilÉlisson da Silva RochaUniversidade de Pernambuco, Pernambuco, BrazilMalika BendechacheIrish Institute of Digital Business, Dublin City University, Dublin, IrelandPierangelo RosatiIrish Institute of Digital Business, Dublin City University, Dublin, IrelandTheo LynnIrish Institute of Digital Business, Dublin City University, Dublin, IrelandPatrícia Takako EndoUniversidade de Pernambuco, Pernambuco, Brazil
2020en
ABI
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Cited by 20 references