Photo by kellysikkema from unsplash
Activities of daily living (ADL) can be used to identify a person’s daily routine which helps health professionals to provide preventive healthcare. Classification of ADLs is therefore very important. In… Click to show full abstract
Activities of daily living (ADL) can be used to identify a person’s daily routine which helps health professionals to provide preventive healthcare. Classification of ADLs is therefore very important. In this study, long short-term memory (LSTM) network, which is an extension of recurrent neural networks, is used. Data collected in MobiAct data set are used to train and test the network. An accuracy of 0.90 is achieved using LSTM network.
Keywords:
term memory;
long short;
short term;
classification;
network
Journal Title: Signal, Image and Video Processing
Year Published: 2019
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!
Journal Title: Signal, Image and Video Processing
Year Published: 2019
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!