Human activity classification using long short-term memory network

Human activity classification using long short-term memory network

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 net...

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Bibliographic Details
Main Authors: Malshika Welhenge, Anuradhi, Taparugssanagorn, A.
Format: Journal Article
Language:English
Published: SPRINGER LONDON LTD 2019
Subjects:
Science & Technology
Technology
Engineering, Electrical & Electronic
Imaging Science & Photographic Technology
Engineering
Deep learning
ADL
LSTM
RNN
TRIAXIAL ACCELEROMETER
FALL DETECTION
Online Access:http://hdl.handle.net/20.500.11937/90320

Internet

http://hdl.handle.net/20.500.11937/90320

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