SHL Dataset – A multimodal transportation dataset collected with smartphones

SHL Dataset – A multimodal transportation dataset collected with smartphones

Dr. Hristijan Gjoreski is an assistant professor at the Faculty of Electrical Engineering and Information Technologies in Skopje, and has previously worked as a postdoctoral research fellow at the University of Sussex. He will talk about the SHL – Sussex Huawei Locomotion dataset (http://www.shl-dataset.org/). The SHL dataset is a versatile annotated dataset of modes of locomotion and transportation of mobile users. It was recorded over a period of 7 months in 2017 by 3 participants engaging in 8 different modes of transportation in real-life setting in the United Kingdom.

The SHL dataset is suitable for a wide range of studies in fields such as transportation recognition, activity recognition, mobility pattern mining, localization, tracking, and sensor fusion.