HIGHLIGHTS
- What: The dataset used in this study is the UCI Human Activity Recognition Using Smartphones (UCI HAR) dataset, which was obtained from the University of California, Irvine through Kaggle. This study proposes the development of a LSTM model for human activity recognition using the UCI HAR dataset.
- Who: user from the Faculty of Information Technology and Industry, Universitas Stikubank, Semarang, Central Java, Indonesia have published the article: Enhance Accuracy in Human Activity Recognition, in the Journal: (JOURNAL)
- How: Evaluation results showed that the optimized LSTM model is not only more accurate in learning . . .
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