Fine-Grained Human Activity Recognition - A new paradigm-Reference-Cited by-同舟云学术

Fine-Grained Human Activity Recognition - A new paradigm

Published:2022-09-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 7th International Workshop on Sensor-based Activity Recognition and Artificial Intelligence
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Author:

Pandurangan Shalini¹^ORCID,Papandrea Michela¹^ORCID,Gelsomini Mirko¹^ORCID

Affiliation:

1. Information Systems and Networking Institute (ISIN), Department of Innovative Technologies (DTI), SUPSI, La Scuola universitaria professionale della Svizzera italiana(SUPSI), Switzerland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3558884.3558893

Reference36 articles.

1. Comparative study on classifying human activities with miniature inertial and magnetic sensors

2. Context-Aware Human Activity Recognition (CAHAR) in-the-Wild Using Smartphone Accelerometer

3. Physical Human Activity Recognition Using Wearable Sensors

4. Oresti Baños , Rafael García , Juan Antonio Holgado Terriza , Miguel Damas, Héctor Pomares, Ignacio Rojas, Alejandro Saez, and Claudia Villalonga. 2014 . mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications. In IWAAL. Oresti Baños, Rafael García, Juan Antonio Holgado Terriza, Miguel Damas, Héctor Pomares, Ignacio Rojas, Alejandro Saez, and Claudia Villalonga. 2014. mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications. In IWAAL.

5. Recognizing Daily and Sports Activities in Two Open Source Machine Learning Environments Using Body-Worn Sensor Units

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