Hierarchical classification using ML/DL for sussex-huawei locomotion-transportation (SHL) recognition challenge

Yi Ting Tseng, Hsien Ting Lin, Yi Hao Lin, Jyh Cheng Chen*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper, our team, SensingGO, presents a hierarchical classifier for Sussex-Huawei Locomotion-Transportation (SHL) recognition challenge. We first separate the original data into motorized activities and non-motorized activities in the first layer of the classifier by using accelerometer data. For the non-motorized activities, we calculate auto-correlation values with accelerometer data as input features. For the motorized activities, we take magnetometer and barometer with mean, maximum, standard deviation values as input features. Finally, we integrate the recognition results of each layer of the classifier, and the average F1-score is 50% to the validation data.

Original languageEnglish
Title of host publicationUbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
PublisherAssociation for Computing Machinery
Pages346-350
Number of pages5
ISBN (Electronic)9781450380768
DOIs
StatePublished - 10 Sep 2020
Event2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2020 - Virtual, Online, Mexico
Duration: 12 Sep 202017 Sep 2020

Publication series

NameUbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers

Conference

Conference2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2020
CountryMexico
CityVirtual, Online
Period12/09/2017/09/20

Keywords

  • activity recognition
  • datasets
  • machine learning
  • neural networks

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