An Adaptive TimeGAN-Augmented Attention for Multi-IMU Human Activity Recognition.
Human Activity Recognition (HAR) with wear able multi-Inertial Measurement Unit (IMU) systems is challenged by limited labeled data, sensor instability, and real-time constraints. This paper proposes an adaptive TimeGAN-augmented fully convolutional framework for robust and efficient multi-IMU HAR. TimeGAN is used to g...