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  4. Generalization of Fitness Exercise Recognition from Doppler Measurements by Domain-Adaption and Few-Shot Learning
 
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2021
Conference Paper
Titel

Generalization of Fitness Exercise Recognition from Doppler Measurements by Domain-Adaption and Few-Shot Learning

Abstract
In previous works, a mobile application was developed using an unmodified commercial smartphone to recognize whole-body exercises. The working principle was based on the ultrasound Doppler sensing with the device built-in hardware. Applying such a lab environment trained model on realistic application variations causes a significant drop in performance, and thus decimate its applicability. The reason of the reduced performance can be manifold. It could be induced by the user, environment, and device variations in realistic scenarios. Such scenarios are often more complex and diverse, which can be challenging to anticipate in the initial training data. To study and overcome this issue, this paper presents a database with controlled and uncontrolled subsets of fitness exercises. We propose two concepts to utilize small adaption data to successfully improve model generalization in an uncontrolled environment, increasing the recognition accuracy by two to six folds compared to the baseline for different users.
Author(s)
Fu, Biying
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Damer, Naser
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Kirchbuchner, Florian orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Kuijper, Arjan orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Hauptwerk
Pattern Recognition. ICPR International Workshops and Challenges. Proceedings. Pt.IV
Konferenz
International Conference on Pattern Recognition (ICPR) 2021
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DOI
10.1007/978-3-030-68799-1_15
Language
English
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Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Tags
  • human activity recognition

  • Lead Topic: Individual Health

  • Research Line: Computer vision (CV)

  • Research Line: Human computer interaction (HCI)

  • mobile sensors

  • human activity recognition

  • physical activity monitoring

  • domain adaptation

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