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HASCA 2023 : Human Activity recognition Sensing Corpus Applications Workshop at Ubicomp 2023


When Oct 8, 2023 - Oct 9, 2023
Where Cancun, Mexico
Submission Deadline Jun 5, 2023
Notification Due Jun 30, 2023
Final Version Due Jul 10, 2023
Categories    activity recognition   wearables   ubiquitous computing   wearable sensors

Call For Papers

We are pleased to announce the 11th International Workshop on Human Activity Sensing Corpus and Applications.

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.

The objective of this workshop is to share the experiences among current researchers around the challenges of real-world activity recognition, the role of datasets and tools, and breakthrough approaches towards open-ended contextual intelligence.

Topics of interest include but are not limited to:
- Data collection / Corpus construction
- Effectiveness of Data / Data Centric Research
- Tools and Algorithms for Activity Recognition
- Real World Application and Experiences
- Sensing Devices and Systems
- Mobile experience sampling, experience sampling strategies:
- Unsupervised pattern discovery
- Dataset acquisition and annotation through crowd-sourcing, web-mining
- Transfer learning, semi-supervised learning, lifelong learning


Submissions are in double-column format, using the following templates:

Word: Use the ACM “Word Interim Layout” template

LaTeX: Use the “acmart” template. For anonymous submission specify documentclass[sigconf,anonymous]{acmart}, for all others specify documentclass[sigconf]{acmart}).

Overleaf: Use the “ACM Conference Proceedings Primary Article Template”. For anonymous submission specify documentclass[sigconf,anonymous]{acmart}, for all others specify documentclass[sigconf]{acmart}).

Maximum paper length is 6 pages including references. Anonymization is not required.

Please see for more details on submission format and to download templates.

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