Human Activity Recognition Using Attention-Mechanism-Based Deep Learning Feature Combination
Morsheda Akter,
Shafew Ansary,
Md. Al-Masrur Khan
et al.
Abstract:Human activity recognition (HAR) performs a vital function in various fields, including healthcare, rehabilitation, elder care, and monitoring. Researchers are using mobile sensor data (i.e., accelerometer, gyroscope) by adapting various machine learning (ML) or deep learning (DL) networks. The advent of DL has enabled automatic high-level feature extraction, which has been effectively leveraged to optimize the performance of HAR systems. In addition, the application of deep-learning techniques has demonstrate… Show more
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