6th International Workshop on Human Activity Sensing Corpus and Applications (HASCA)

Murao, Kazuya; Enokibori, Yu; Gjoreski, Hristijan; Lago, Paula; Okita, Tsuyoshi; Siirtola, Pekka; Hiroi, Kei; Scholl, Philipp M. (2018-10-08)
 
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https://doi.org/10.1145/3267305.3274145

Murao, Kazuya
Enokibori, Yu
Gjoreski, Hristijan
Lago, Paula
Okita, Tsuyoshi
Siirtola, Pekka
Hiroi, Kei
Scholl, Philipp M.
Association for Computing Machinery
08.10.2018

Kazuya Murao, Yu Enokibori, Hristijan Gjoreski, Paula Lago, Tsuyoshi Okita, Pekka Siirtola, Kei Hiroi, and Philipp M. Scholl. 2018. 6th International Workshop on Human Activity Sensing Corpus and Applications (HASCA). In Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (UbiComp '18). ACM, New York, NY, USA, 1392-1395. DOI: https://doi.org/10.1145/3267305.3274145

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© 2018 Copyright is held by the owner/author(s). This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (UbiComp '18). October 8-12, 2018, Singapore, http://dx.doi.org/10.1145/3267305.3274145.
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doi:https://doi.org/10.1145/3267305.3274145
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https://urn.fi/URN:NBN:fi-fe2019041512249
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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 corpuses 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.

Unique this year, HASCA will welcome papers from participants to the Sussex-Huawei Locomotion and Transportation Recognition Competition in a special session.

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