Unleashing the Power of Shared Label Structures for Human Activity Recognition-Reference-Cited by-同舟云学术

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Unleashing the Power of Shared Label Structures for Human Activity Recognition

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Author:

Zhang Xiyuan¹^ORCID,Chowdhury Ranak Roy¹^ORCID,Zhang Jiayun¹^ORCID,Hong Dezhi²^ORCID,Gupta Rajesh K.¹^ORCID,Shang Jingbo¹^ORCID

Affiliation:

1. University of California, San Diego, La Jolla, CA, USA

2. Amazon, Seattle, WA, USA

Funder

NSF (National Science Foundation)

NIH (National Institutes of Health)

Qualcomm

ACE SRC/JUMP 2.0 Center

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3615101

Reference58 articles.

1. A public domain dataset for human activity recognition using smartphones;Anguita Davide;Esann,2013

2. Wearable Assistant for Parkinson’s Disease Patients With the Freezing of Gait Symptom

3. Anthony Bagnall , Hoang Anh Dau , Jason Lines, Michael Flynn, James Large, Aaron Bostrom, Paul Southam, and Eamonn Keogh. 2018 . The UEA multivariate time series classification archive, 2018. arXiv preprint arXiv:1811.00075 (2018). Anthony Bagnall, Hoang Anh Dau, Jason Lines, Michael Flynn, James Large, Aaron Bostrom, Paul Southam, and Eamonn Keogh. 2018. The UEA multivariate time series classification archive, 2018. arXiv preprint arXiv:1811.00075 (2018).

4. mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications

5. Distributionally Robust Semi-Supervised Learning for People-Centric Sensing

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