ubicomp18g-sub1046-cam-i7.pdf (726.46 kB)
Summary of the Sussex-Huawei Locomotion-Transportation Recognition Challenge
conference contribution
posted on 2023-06-09, 14:54 authored by Lin Wang, Hristijan GjoreskiHristijan Gjoreski, Kazuya Murao, Tsuyoshi Okita, Daniel RoggenDaniel RoggenIn 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 ComputersPublisher
Association for Computing MachineryExternal DOI
Page range
1521-1530Event name
HASCA Workshop at Ubicomp 2018Event location
SingaporeEvent type
workshopEvent date
8-12 October, 2018ISBN
9781450359665Department 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 EnokiboriLegacy Posted Date
2018-09-05First Open Access (FOA) Date
2019-01-21First Compliant Deposit (FCD) Date
2018-09-04Usage metrics
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