Deep CNN-LSTM supervised model and CNN self-supervised model for human activity recognition

Deep CNN-LSTM supervised model and CNN self-supervised model for human activity recognition

Human Activity Recognition (HAR) has garnered significant interest from researchers in past decades. With the quick development of wearable sensor technology and the high availability of smart devices, e.g., accelerometers and gyroscopes embedded in smartphones, HAR has become a popular field of res...

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Bibliographic Details
Main Author: Liao, Zixin
Other Authors: Kwoh Chee Keong
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2023
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:https://hdl.handle.net/10356/166096

Internet

https://hdl.handle.net/10356/166096

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