A Comparative Study of Feature Selection Approaches for Human Activity Recognition Using Multimodal Sensory Data

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

@article{1882b96f211040e7a1c18949d8b3e13f,

title = "A Comparative Study of Feature Selection Approaches for Human Activity Recognition Using Multimodal Sensory Data",

author = "Nisar, {Muhammad Adeel} and Marcin Grzegorzek",

year = "2021",

month = mar,

day = "29",

doi = "10.3390/s21072368",

language = "English",

volume = "21",

journal = "Sensors",

publisher = "MDPI",

number = "7",

}