Detecting human activities based on a multimodal sensor data set using a bidirectional long short-term memory model: a case study

Research output: Chapter in Book or Conference Publication/Proceeding › Chapter › peer-review

Original language	English (Ireland)
Title of host publication	Challenges and Trends in Multimodal Fall Detection for Healthcare
Publisher	Springer
Publication status	Published - 1 Jan 2020

Authors (Note for portal: view the doc link for the full list of authors)

Authors
Assis Neto, Silvano Ramos de and Santos, Guto Leoni and Silva Rocha, Elisson da and Bendechache, Malika and Rosati, Pierangelo and Lynn, Theo and Takako Endo, Patricia

@inbook{604723da61014b7595bc57e877eb1370,

title = "Detecting human activities based on a multimodal sensor data set using a bidirectional long short-term memory model: a case study",

author = "Pierangelo Rosati",

year = "2020",

month = jan,

day = "1",

language = "English (Ireland)",

booktitle = "Challenges and Trends in Multimodal Fall Detection for Healthcare",

publisher = "Springer",

}