A Deep Multiple Instance Multiple Label Learning Framework for Smartphone-Based Human Activity Recognition
Human Activity Recognition through smartphones plays a crucial role in several medical states of affairs such as patient monitoring, elder-care, and post-surgery recovery. Most of these works require precisely labelled smartphone accelerometer data for training supervised learning classifiers. However, precise data ann...