Toward Practical Activity Recognition: Recognizing Complex Activities with Wide Variations


Conference Paper

© 2018 IEEE. Most activity classifiers focus on recognizing application-specific activities that are mostly performed in a scripted manner, where there is very little room for variation within the activity. These classifiers are mainly good at recognizing short scripted activities that are performed in a specific way. In reality, especially when considering daily activities, humans perform complex activities in a variety of ways. In this work, we aim to make activity recognition more practical by proposing a novel approach to recognize complex heterogeneous activities that could be performed in a wide variety of ways. We collect data from 15 subjects performing 8 complex activities and test our approach while analyzing it from different aspects. The results show the validity of our approach. They also show how it performs better than the state-of-the-art approaches that tried to recognize the same activities in a more controlled environment.

Full Text

Cited Authors

  • Younes, R; Jones, M; Martin, TL

Published Date

  • October 2, 2018

Published In

  • 2018 Ieee International Conference on Pervasive Computing and Communications Workshops, Percom Workshops 2018

Start / End Page

  • 9 - 14

International Standard Book Number 13 (ISBN-13)

  • 9781538632277

Digital Object Identifier (DOI)

  • 10.1109/PERCOMW.2018.8480368

Citation Source

  • Scopus