Passive RFID Module with LSTM Recurrent Neural Network Activity Classification Algorithm for Ambient Assisted Living

Passive RFID Module with LSTM Recurrent Neural Network Activity Classification Algorithm for Ambient Assisted Living

Yes === Human activity recognition from sensor data is a critical research topic to achieve remote health monitoring and ambient assisted living (AAL). In AAL, sensors are integrated into conventional objects aimed to support targets capabilities through digital environments that are sensitive, resp...

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Bibliographic Details
Main Authors: Oguntala, George A., Hu, Yim Fun, Alabdullah, Ali A.S., Abd-Alhameed, Raed A., Ali, Muhammad, Luong, D.K.
Language:en
Published: 2021
Subjects:
Activity recognition
Ambient assisted living
Computational complexity
Computational modeling
Computer architecture
Data models
LSTM
Recurrent neural network
Recurrent neural networks
RFID
Senior citizens
Sensors
Smart homes
Online Access:http://hdl.handle.net/10454/18418

Internet

http://hdl.handle.net/10454/18418

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