Publications

Accepted/Published

• Heydarian, H., Adam, M. T. P., Burrows, T., Collins, C., & Rollo, M. E. (2019). Assessing eating behaviour using upper limb mounted motion sensors: A systematic review. Nutrients, 11(5), 1-25. doi:10.3390/nu11051168.

• Burrows, T., Collins, C., Adam, M., Duncanson, K., & Rollo, M. (2019). Dietary assessment of shared plate eating: A missing link. Nutrients, 11(4), 1-14. doi:10.3390/nu11040789.

• Heydarian, H., Rouast, P. V., Adam, M. T. P., Burrows, T., Collins, C. E., & Rollo, M. E. (2020). Deep learning for intake gesture detection from wrist-worn inertial sensors: The effects of data preprocessing, sensor modalities, and sensor positions. IEEE Access, 8, 164936-164949. doi:10.1109/access.2020.3022042

• Rouast, P. V., Heydarian, H., Adam, M. T. P., & Rollo, M. E. (2020). OREBA: A Dataset for Objectively Recognizing Eating Behavior and Associated Intake. IEEE Access, 8, 181955-181963. doi:10.1109/access.2020.3026965

• Heydarian H, Adam MTP, Burrows T, Rollo ME, 'Exploring Score-Level and Decision-Level Fusion of Inertial and Video Data for Intake Gesture Detection', IEEE Access, (2021)

• Rouast PV, Adam MTP, 'Single-Stage Intake Gesture Detection Using CTC Loss and Extended Prefix Beam Search', IEEE Journal of Biomedical and Health Informatics, 25 2733-2743 (2021)

• Dodd, C. T., Adam, M. T. P., & Rollo, M. E. (2022). Speech Recording for Dietary Assessment: A Systematic Literature Review. IEEE Access, 10, 37658-37669. doi:10.1109/ACCESS.2022.3164419

• Smith, S. P., Adam, M. T. P., Manning, G., Burrows, T., Collins, C., & Rollo, M. E. (2022). Food Volume Estimation by Integrating 3D Image Projection and Manual Wire Mesh Transformations. IEEE Access, 10, 48367-48378. doi:10.1109/ACCESS.2022.3171584

• Saronga, N., Mosha, I. H., Stewart, S. J., Bakar, S., Sunguya, B. F., Burrows, T. L., . . . Rollo, M. E. (2022). A Mixed-Method Study Exploring Experiences and Perceptions of Nutritionists Regarding Use of an Image-Based Dietary Assessment System in Tanzania. Nutrients, 14(3). doi:10.3390/nu14030417

• Dodd CT, Adam MTP, Stewart SJ, Windus JL, Rollo ME, 'Design of a Semi-automated System for Dietary Assessment of Image-Voice Food Records', IEEE Access, 1-1 (2024). 

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Datasets

• Objectively Recognizing Eating Behaviour and Associated Intake (OREBA) dataset. The OREBA dataset aims to provide a comprehensive multi-sensor (inertial measurement units and video cameras) recording of communal intake occasions for researchers interested in automatic detection of intake gestures and other behaviours associated with intake. More information about the dataset is available here.  

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VISIDA Open Source Licence 

• We are currently finalising the releasing of the VISIDA system code under an open source licence. To be notified when this becomes available, please complete a contact form here.