Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/3410530.3414612acmconferencesArticle/Chapter ViewAbstractPublication PagesubicompConference Proceedingsconference-collections
invited-talk

8th international workshop on human activity sensing corpus and applications (HASCA)

Published: 12 September 2020 Publication History

Abstract

The recognition of complex and subtle human behaviors from wearable sensors will enable next-generation human-oriented computing in scenarios of high societal value (e.g., dementia care). This will require large-scale human activity corpus and much improved methods to recognize activities and the context in which they occur. This workshop deals with the challenges of designing reproducible experimental setups, running large-scale dataset collection campaigns, designing activity and context recognition methods that are robust and adaptive, and evaluating systems in the real world. We wish to reflect on future methods, such as lifelong learning approaches that allow open-ended activity recognition. This year HASCA will welcome papers from participants to the Third Sussex-Huawei Locomotion and Transportation Recognition Challenge and Second Nursing Activity Recognition Challenge in special sessions.

References

[1]
H. Gjoreski, M. Ciliberto, L. Wang, F.J.O. Morales, S. Mekki, S. Valentin, and D. Roggen. 2018. The university of sussex-huawei locomotion and transportation dataset for multimodal analytics with mobile devices. IEEE Access 6 (2018), 42592--42604.
[2]
N. Kawaguchi, N. Nishio, D. Roggen, S. Inoue, S. Pirttikangas, and K. Van Laerhoven. 2019. Human Activity Sensing. Springer.
[3]
N. Kawaguchi, Y. Yang, T. Yang, N. Ogawa, Y. Iwasaki, K. Kaji, T. Terada, K. Murao, S. Inoue, Y. Kawahara, and et al. 2011. HASC2011corpus: Towards the Common Ground of Human Activity Recognition. In Proceedings of the 13th International Conference on Ubiquitous Computing (Beijing, China) (UbiComp '11). ACM, New York, NY, USA, 571--572.
[4]
P. Lago, S. Alia, S. Takeda, and et al. 2019. Nurse Care Activity Recognition Challenge: Summary and Results. In Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (London, United Kingdom) (UbiComp/ISWC '19 Adjunct). Association for Computing Machinery, New York, NY, USA, 746--751.
[5]
K. Murao, Y. Enokibori, H. Gjoreski, P. Lago, T. Okita, P. Siirtola, K. Hiroi, P. M. Scholl, and M. Ciliberto. 2019. 7th International Workshop on Human Activity Sensing Corpus and Applications (HASCA). In Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (London, United Kingdom) (UbiComp/ISWC '19 Adjunct). Association for Computing Machinery, New York, NY, USA, 671--673.
[6]
D. Roggen et al. 2020. The University of Sussex-Huawei Locomotion (SHL) dataset and competition. http://www.shl-dataset.org/activity-recognition-challenge-2019/ Accessed: 2020-08-03.
[7]
D. Roggen, A. Calatroni, M. Rossi, T. Holleczek, G. Tröster, P. Lukowicz, G. Pirkl, D. Bannach, A. Ferscha, J. Doppler, C. Holzmann, M. Kurz, G. Holl, R. Chavarriaga, H. Sagha, H. Bayati, and J. del R. Millán. 2010. Collecting complex activity data sets in highly rich networked sensor environments. In INSS '10. IEEE, Kassel, Germany, 233--240.
[8]
L. Wang, H. Gjoreski, M. Ciliberto, S. Mekki, S. Valentin, and D. Roggen. 2019. Enabling reproducible research in sensor-based transportation mode recognition with the Sussex-Huawei dataset. IEEE Access 7 (2019), 10870--10891.

Cited By

View all

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
UbiComp/ISWC '20 Adjunct: 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
September 2020
732 pages
ISBN:9781450380768
DOI:10.1145/3410530
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 September 2020

Check for updates

Author Tags

  1. SHL activity recognition challenge
  2. activity recognition
  3. large scale human activity sensing corpus
  4. mobile sensors
  5. open lab nursing activity recognition challenge
  6. open-ended activity/context recognition
  7. participatory sensing
  8. smartphones
  9. wearable computing

Qualifiers

  • Invited-talk

Conference

UbiComp/ISWC '20

Acceptance Rates

Overall Acceptance Rate 764 of 2,912 submissions, 26%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 92
    Total Downloads
  • Downloads (Last 12 months)5
  • Downloads (Last 6 weeks)0
Reflects downloads up to 02 Oct 2024

Other Metrics

Citations

Cited By

View all

View Options

Get Access

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media