1. Swallowing sound detection using hidden markov modeling of recurrence plot features;Aboofazeli Mohammad;Chaos, Solitons & Fractals,2009
2. Bite Weight Prediction From Acoustic Recognition of Chewing
3. Oliver Amft , Mathias Stäger , Paul Lukowicz , and Gerhard Tröster . 2005. Analysis of chewing sounds for dietary monitoring . In UbiComp 2005: Ubiquitous Computing . Michael Beigl, Stephen Intille, Jun Rekimoto, and Hideyuki Tokuda, (Eds.) Springer Berlin Heidelberg , Berlin, Heidelberg , 56--72. isbn: 978--3--540- 3 1941 --2. Oliver Amft, Mathias Stäger, Paul Lukowicz, and Gerhard Tröster. 2005. Analysis of chewing sounds for dietary monitoring. In UbiComp 2005: Ubiquitous Computing. Michael Beigl, Stephen Intille, Jun Rekimoto, and Hideyuki Tokuda, (Eds.) Springer Berlin Heidelberg, Berlin, Heidelberg, 56--72. isbn: 978--3--540- 31941--2.
4. Oliver Amft and Gerhard Troster . 2006 . Methods for detection and classification of normal swallowing from muscle activation and sound . In 2006 Pervasive Health Conference and Workshops, 1--10 . doi: 10.1109/PCTHEALTH.2006.36162 4. 10.1109/PCTHEALTH.2006.36162 Oliver Amft and Gerhard Troster. 2006. Methods for detection and classification of normal swallowing from muscle activation and sound. In 2006 Pervasive Health Conference and Workshops, 1--10. doi: 10.1109/PCTHEALTH.2006.36162 4.
5. Computer Vision-Based Carbohydrate Estimation for Type 1 Patients With Diabetes Using Smartphones