Generalization with Deep Learning: For Improvement on Sensing Capability
Chen, Zhenghua, Wu, Min, Li, Xiaoli
Deep Learning has achieved great success in many challenging research areas, such as image recognition and natural language processing. The key merit of deep learning is to automatically learn features from massive data conceptually. This technology can be a good candidate for human activity recognition. However, many challenging research problems in terms of accuracy, device heterogeneous, environment changes, etc. remain unsolved.In this edited volume, we aim to narrow the gap between human and machine by showcasing various deep learning applications in the area of sensing. General sensing applications such as remote sensing and medical image analysis in human activity recognition are explored.This volume puts together the best papers selected from the International Workshop on Deep Learning for Human Activity Recognition, held in conjunction with the International Joint Conference on Artificial Intelligence (IJCAI) on August 10-16, 2019 in Macao.