Audio-Based Onset Detection applied to Chewing Cycle Segmentation

Kopyto D, Zhang R, Amft O (2021)

Publication Type: Conference contribution

Publication year: 2021

Publisher: ASSOC COMPUTING MACHINERY

City/Town: NEW YORK

Pages Range: 124-128

Conference Proceedings Title: IWSC'21: PROCEEDINGS OF THE 2021 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS

DOI: 10.1145/3460421.3478819

Authors with CRIS profile

David Kopyto Lehrstuhl für Digital Health Rui Zhang Lehrstuhl für Digital Health Oliver Amft Lehrstuhl für Digital Health

How to cite

APA:

Kopyto, D., Zhang, R., & Amft, O. (2021). Audio-Based Onset Detection applied to Chewing Cycle Segmentation. In IWSC'21: PROCEEDINGS OF THE 2021 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (pp. 124-128). NEW YORK: ASSOC COMPUTING MACHINERY.

MLA:

Kopyto, David, Rui Zhang, and Oliver Amft. "Audio-Based Onset Detection applied to Chewing Cycle Segmentation." Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) / ACM International Symposium on Wearable Computers (ISWC) NEW YORK: ASSOC COMPUTING MACHINERY, 2021. 124-128.

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