Three-Year Review of the 2018–2020 SHL Challenge on Transportation and Locomotion Mode Recognition From Mobile Sensors

Three-Year Review of the 2018–2020 SHL Challenge on Transportation and Locomotion Mode Recognition From Mobile Sensors

The Sussex-Huawei Locomotion-Transportation (SHL) Recognition Challenges aim to advance and capture the state-of-the-art in locomotion and transportation mode recognition from smartphone motion (inertial) sensors. The goal of this series of machine learning and data science challenges was to recogni...

Full description

Bibliographic Details
Main Authors: Lin Wang, Hristijan Gjoreski, Mathias Ciliberto, Paula Lago, Kazuya Murao, Tsuyoshi Okita, Daniel Roggen
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Computer Science
Subjects:
activity recognition
context-aware computing
deep learning
machine learning
mobile sensing
transportation mode recognition
Online Access:https://www.frontiersin.org/articles/10.3389/fcomp.2021.713719/full

Internet

https://www.frontiersin.org/articles/10.3389/fcomp.2021.713719/full

Similar Items