12th International Workshop on Human Activity Sensing Corpus and Applications (HASCA)

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 a 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 Fifth Sussex-Huawei Locomotion and Transportation Recognition Challenge and the First WEAR Dataset Challenge in special sessions.

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Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1145/3675094.3677561
Citations
1
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
Field-Weighted Citation Impact
0.25
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article

12th International Workshop on Human Activity Sensing Corpus and Applications (HASCA)

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1 citations
Context-Aware Activity Recognition Systems
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article

12th International Workshop on Human Activity Sensing Corpus and Applications (HASCA)

Yu Enokibori, Hristijan Gjoreski, Kei Hiroi, Philipp Scholl, Marius Bock, Tsuyoshi Okita, Kazuya Murao, Kenta Urano, Pekka Siirtola, Paula Lago, Mathias Ciliberto
article en
1 citations

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 a 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 Fifth Sussex-Huawei Locomotion and Transportation Recognition Challenge and the First WEAR Dataset Challenge in special sessions.

Ritsumeikan University (JP), University of Freiburg (DE), University of Sussex (GB), University of Siegen (DE), Kyushu Institute of Technology (JP), Kyoto University (JP), Nagoya University (JP), Concordia University (CA), Ss. Cyril and Methodius University in Skopje (MK), University of Oulu (FI)
Openalex Percentile: Top 47%
Context-Aware Activity Recognition Systems
0.25
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