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Summary of the Sussex-Huawei Locomotion-Transportation Recognition Challenge

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conference contribution
posted on 2023-06-09, 14:54 authored by Lin Wang, Hristijan GjoreskiHristijan Gjoreski, Kazuya Murao, Tsuyoshi Okita, Daniel RoggenDaniel Roggen
In this paper we summarize the contributions of participants to the Sussex-Huawei Transportation-Locomotion (SHL) Recognition Challenge organized at the HASCA Workshop of UbiComp 2018. The SHL challenge is a machine learning and data science competition, which aims to recognize eight transportation activities (Still, Walk, Run, Bike, Bus, Car, Train, Subway) from the inertial and pressure sensor data of a smartphone. We introduce the dataset used in the challenge and the protocol for the competition. We present a meta-analysis of the contributions from 19 submissions, their approaches, the software tools used, computational cost and the achieved results. Overall, two entries achieved F1 scores above 90%, eight with F1 scores between 80% and 90%, and nine between 50% and 80%.

Funding

Activity Sensing Technologies for Mobile Users; G2015; Huawei

History

Publication status

  • Published

File Version

  • Accepted version

Journal

UbiComp '18 Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers

Publisher

Association for Computing Machinery

Page range

1521-1530

Event name

HASCA Workshop at Ubicomp 2018

Event location

Singapore

Event type

workshop

Event date

8-12 October, 2018

ISBN

9781450359665

Department affiliated with

  • Engineering and Design Publications

Research groups affiliated with

  • Sensor Technology Research Centre Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Editors

Paula Lago, Kei Hiroi, Kazuya Murao, Tsuyoshi Okita, Philipp Scholl, Hristijan Gjoreski, Pekka Siirtola, Yu Enokibori

Legacy Posted Date

2018-09-05

First Open Access (FOA) Date

2019-01-21

First Compliant Deposit (FCD) Date

2018-09-04

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