Adaptive Feature Processing for Robust Human Activity Recognition on a Novel Multi-Modal Dataset

no code implementations • 9 Jan 2019 • Mirco Moencks, Varuna De Silva, Jamie Roche, Ahmet Kondoz

In this paper, we present a novel, multi-modal sensor dataset that encompasses nine indoor activities, performed by 16 participants, and captured by four types of sensors that are commonly used in indoor applications and autonomous vehicles.

Autonomous Vehicles BIG-bench Machine Learning +3