Characterizing the Effect of Audio Degradation on Privacy Perception And Inference Performance in Audio-Based Human Activity Recognition

Author:

Liang Dawei1,Song Wenting2,Thomaz Edison3

Affiliation:

1. The University of Texas at Austin, USA

2. University of Texas at Austin, United States

3. The University of Texas at Austin, United States

Publisher

ACM

Reference41 articles.

1. Music, Search, and IoT

2. GestEar

3. Audio privacy

4. Bathroom Activity Monitoring Based on Sound

5. François Chollet 2015. Keras. https://keras.io. François Chollet 2015. Keras. https://keras.io.

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1. Audio- and Video-Based Human Activity Recognition Systems in Healthcare;IEEE Access;2024

2. A Dataset for Foreground Speech Analysis With Smartwatches In Everyday Home Environments;2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2023-06-04

3. KI-basiertes akustisches Monitoring: Herausforderungen und Lösungsansätze für datengetriebene Innovationen auf Basis audiovisueller Analyse;Entrepreneurship der Zukunft;2023

4. Source Domain Selection for Cross-House Human Activity Recognition with Ambient Sensors;2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA);2022-12

5. Deceiving Audio Design in Augmented Environments : A Systematic Review of Audio Effects in Augmented Reality;2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct);2022-10

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