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9th International Workshop on Human Activity Sensing Corpus and Applications (HASCA)

Published: 24 September 2021 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 Fourth Sussex-Huawei Locomotion and Transportation Recognition Challenge and the Third Nursing Activity Recognition Challenge in special sessions.

References

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Sayeda Shamma Alia, Paula Lago, Kohei Adachi, Tahera Hossain, Hiroki Goto, Tsuyoshi Okita, and Sozo Inoue. 2020. Summary of the 2nd Nurse Care Activity Recognition Challenge Using Lab and Field Data. In 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 (Virtual Event, Mexico) (UbiComp-ISWC ’20). Association for Computing Machinery, New York, NY, USA, 378–383. https://doi.org/10.1145/3410530.3414611
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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.
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N. Kawaguchi, N. Nishio, D. Roggen, S. Inoue, S. Pirttikangas, and K. Van Laerhoven. 2019. Human Activity Sensing. Springer.
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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. https://doi.org/10.1145/2030112.2030218
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Kazuya Murao, Yu Enokibori, Hristijan Gjoreski, Paula Lago, Tsuyoshi Okita, Pekka Siirtola, Kei Hiroi, Philipp M. Scholl, and Mathias Ciliberto. 2020. 8th International Workshop on Human Activity Sensing Corpus and Applications (HASCA). In 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 (Virtual Event, Mexico) (UbiComp-ISWC ’20). Association for Computing Machinery, New York, NY, USA, 228–231. https://doi.org/10.1145/3410530.3414612
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D. Roggen 2021. The University of Sussex-Huawei Locomotion (SHL) dataset and competition. http://www.shl-dataset.org/activity-recognition-challenge-2021/ Accessed: 2021-08-03.
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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. Milln. 2010. Collecting complex activity data sets in highly rich networked sensor environments. In INSS ’10. IEEE, Kassel, Germany, 233–240.
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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.

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  • (2022)Stepping Into the Next Decade of Ubiquitous and Pervasive Computing: UbiComp and ISWC 2021IEEE Pervasive Computing10.1109/MPRV.2022.316006321:2(87-99)Online publication date: 1-Apr-2022

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cover image ACM Conferences
UbiComp/ISWC '21 Adjunct: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers
September 2021
711 pages
ISBN:9781450384612
DOI:10.1145/3460418
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 24 September 2021

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Author Tags

  1. Activity Recognition
  2. Large Scale Human Activity Sensing Corpus
  3. Mobile Sensors
  4. Open Lab Nursing Activity Recognition Challenge
  5. Open-Ended Activity/Context Recognition
  6. Participatory Sensing
  7. SHL Activity Recognition challenge
  8. Smartphones
  9. Wearable Computing

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UbiComp '21

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

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  • (2022)Stepping Into the Next Decade of Ubiquitous and Pervasive Computing: UbiComp and ISWC 2021IEEE Pervasive Computing10.1109/MPRV.2022.316006321:2(87-99)Online publication date: 1-Apr-2022

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