Improving Exertion and Wellbeing Prediction in Outdoor Running Conditions using Audio-based Surface Recognition

Author:

Gebhard Alexander1,Triantafyllopoulos Andreas1,Amiriparian Shahin1,Ottl Sandra1,Dieter Valerie2,Gerczuk Maurice1,Jaumann Mirko3,Hildner David3,Schneeweiß Patrick2,Rösel Inka2,Krauß Inga2,Schuller Björn W.1

Affiliation:

1. University of Augsburg, Augsburg, Germany

2. University Hospital Tuebingen, Tübingen, Germany

3. HB Technologies AG, Tübingen, Germany

Funder

Zentrales Innovationsprogramm Mittelstand (ZIM)

DFG's Reinhart Koselleck

Publisher

ACM

Reference39 articles.

1. Shahin Amiriparian. 2019. Deep representation learning techniques for audio signal processing. Ph. D. Dissertation. Technische Universität München. Shahin Amiriparian. 2019. Deep representation learning techniques for audio signal processing. Ph. D. Dissertation. Technische Universität München.

2. Snore Sound Classification Using Image-Based Deep Spectrum Features

3. Towards cross-modal pre-training and learning tempo-spatial characteristics for audio recognition with convolutional and recurrent neural networks

4. Shahin Amiriparian , Tobias Hübner , Vincent Karas , Maurice Gerczuk , Sandra Ottl , and Björn W . Schuller . 2022 . DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing From Decentralized Data. Frontiers in Artificial Intelligence 5 (2022), 10 pages. https://doi.org/10.3389/frai.2022.856232 10.3389/frai.2022.856232 Shahin Amiriparian, Tobias Hübner, Vincent Karas, Maurice Gerczuk, Sandra Ottl, and Björn W. Schuller. 2022. DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing From Decentralized Data. Frontiers in Artificial Intelligence 5 (2022), 10 pages. https://doi.org/10.3389/frai.2022.856232

5. AI Hears Your Health: Computer Audition for Health Monitoring

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1. Estimation of Sidewalk Surface Condition with Insole Devices;2023 Fourteenth International Conference on Mobile Computing and Ubiquitous Network (ICMU);2023-11-29

2. Investigating Individual- and Group-Level Model Adaptation for Self-Reported Runner Exertion Prediction from Biomechanics;2022 E-Health and Bioengineering Conference (EHB);2022-11-17

3. Towards Heart Rate Categorisation from Speech in Outdoor Running Conditions;2022 E-Health and Bioengineering Conference (EHB);2022-11-17

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