SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data

Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis +3

Machine learning and deep learning have shown great promise in mobile sensing applications, including Human Activity Recognition. However, the performance of such models in real-wo…