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Philipp V. Rouast
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Year
Deep learning for human affect recognition: Insights and new developments
PV Rouast, M Adam, R Chiong
IEEE Transactions on Affective Computing 12 (2), 524-543, 2019
2112019
Remote heart rate measurement using low-cost RGB face video: a technical literature review
PV Rouast, MTP Adam, R Chiong, D Cornforth, E Lux
Frontiers of Computer Science 12 (5), 858-872, 2018
1482018
Learning deep representations for video-based intake gesture detection
PV Rouast, MTP Adam
IEEE Journal of Biomedical and Health Informatics 24 (6), 1727-1737, 2019
242019
Using contactless heart rate measurements for real-time assessment of affective states
PV Rouast, MTP Adam, DJ Cornforth, E Lux, C Weinhardt
Information Systems and Neuroscience, 157-163, 2017
162017
Remote photoplethysmography: Evaluation of contactless heart rate measurement in an information systems setting
PV Rouast, MP Adam, V Dorner, E Lux
Applied Informatics and Technology Innovation, 2016
122016
OREBA: A dataset for objectively recognizing eating behavior and associated intake
PV Rouast, H Heydarian, MTP Adam, ME Rollo
IEEE Access 8, 181955-181963, 2020
92020
Using Deep Learning and 360 Video to Detect Eating Behavior for User Assistance Systems.
PV Rouast, MTP Adam, T Burrows, R Chiong, ME Rollo
ECIS, 101, 2018
72018
Remote heart rate measurement using low-cost RGB face video: a technical literature review Front. Comput. Sci
PV Rouast, MT Adam, R Chiong, D Cornforth, E Lux
Press, 2016
52016
Deep Learning for Intake Gesture Detection From Wrist-Worn Inertial Sensors: The Effects of Data Preprocessing, Sensor Modalities, and Sensor Positions
H Heydarian, PV Rouast, MTP Adam, T Burrows, CE Collins, ME Rollo
IEEE Access 8, 164936-164949, 2020
32020
Single-stage intake gesture detection using CTC loss and extended prefix beam search
PV Rouast, MTP Adam
IEEE Journal of Biomedical and Health Informatics 25 (7), 2733-2743, 2020
22020
Using deep learning to detect food intake behavior from video
PV Rouast
The University of Newcastle, 2020
2020
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Articles 1–11