| Item type |
共通アイテムタイプ(1) |
| 公開日 |
2025-02-14 |
| タイトル |
|
|
タイトル |
Summary of SHL Challenge 2024: Motion Sensor-based Locomotion and Transportation Mode Recognition in Missing Data Scenarios |
|
言語 |
en |
| 著者 |
Lin, Wang
Mathias, Ciliberto
Hristijan, Gjoreski
Paula, Lago
Kazuya, Murao
大北, 剛
Daniel, Roggen
|
| 著作権関連情報 |
|
|
権利情報 |
Copyright (c) 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM. |
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
The paper summarizes the contributions of participants to the sixth Sussex-Huawei Locomotion-Transportation (SHL) Recognition Challenge organized at the HASCA Workshop of UbiComp/ISWC 2024. The goal of this machine learning/data science challenge is to recognize eight locomotion and transportation activities (Still, Walk, Run, Bike, Bus, Car, Train, Subway) from the motion (accelerometer, gyroscope, magnetometer) sensor data of a smartphone in a way which is user-independent and smartphone position-independent, and as well robust to data missing during deployment. The training data of a 'train' user is available from smartphones placed at four body positions (Hand, Torso, Bag and Hips). The testing data originates from 'test' users with a smartphone placed at one of three body positions (Torso, Bag or Hips). In addition, the test data has one or multiple sensor modalities randomly missing from each time frame (5 seconds). Such a scenario may occur if a device turns on and off dynamically sensors to save power, or due to limited computational or memory capacity. We introduce the dataset used in the challenge and the protocol of the competition. We present a meta-analysis of the contributions from 7 submissions, their approaches, the software tools used, computational cost and the achieved results. Overall, one submission achieved an F1 score between 70% and 80%, two between 60% and 70%, three between 50% and 60%, and one below 50%. Finally, we present a baseline implementation addressing missing sensor modalities. |
|
言語 |
en |
| 備考 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
International joint conference on Pervasive and Ubiquitous Computing, UbiComp 2024, 5-9 October 2024, Melbourne, Australia |
|
言語 |
en |
| 書誌情報 |
en : UbiComp '24: Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing
p. 555-562,
発行日 2024-10-05
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| 出版社 |
|
|
出版者 |
ACM |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| DOI |
|
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
https://doi.org/10.1145/3675094.3678456 |
| ISBN |
|
|
|
識別子タイプ |
ISBN |
|
|
関連識別子 |
979-8-4007-1058-2/24/1 |
| 会議記述 |
|
|
|
会議名 |
International joint conference on Pervasive and Ubiquitous Computing, UbiComp 2024 |
|
|
言語 |
en |
|
|
開始年 |
2024 |
|
|
開始月 |
10 |
|
|
開始日 |
05 |
|
|
終了年 |
2024 |
|
|
終了月 |
10 |
|
|
終了日 |
09 |
|
開催国 |
AUS |
| 研究者情報 |
|
|
URL |
https://hyokadb02.jimu.kyutech.ac.jp/html/100001145_ja.html |
| 論文ID（連携） |
|
|
値 |
10448388 |
| 連携ID |
|
|
値 |
12998 |
10448388.pdf (1.2 MB)
