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Project Outputs

Publications

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  • Rollo, M. E., Windus, J. L., Stewart, S. J., Dodd, C. T., Adam, M. T. P., Duncanson, K., . . . Collins, C. E. (2025). An Image-Voice Dietary Assessment System for Estimating Individual Nutrient Intakes in Cambodian Women and Children: Relative Validity, Reliability, and Acceptability Study.. J Med Internet Res, 27, e65939. doi:10.2196/65939

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  • Windus, J. L., Duncanson, K., Burrows, T. L., Collins, C. E., & Rollo, M. E. (2025). Observed mixed dishes recipes collected from Cambodian women differ in ingredients and nutritional composition from standard recipes from a South-East Asian food composition database. Journal of Food Composition and Analysis, 143. doi:10.1016/j.jfca.2025.107572

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  • Windus, J. L., Duncanson, K., Burrows, T. L., Collins, C. E., & Rollo, M. E. (2025). Dietary assessment using a novel image-voice-based system indicates nutrient inadequacies in Cambodian women's dietary intake. Journal of Nutritional Science, 14. doi:10.1017/jns.2025.10011

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  • Heydarian, H., Adam, M. T. P., Burrows, T. L., & Rollo, M. E. (2025). Exploring Score-Level and Decision-Level Fusion of Inertial and Video Data for Intake Gesture Detection. IEEE Access, 13, 643-655. doi:10.1109/ACCESS.2021.3119253

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  • Windus, J. L., Stewart, S. J., Adam, M. T. P., Dodd, C. T., Burrows, T. L., Collins, C. E., & Rollo, M. E. (2025). Exploring Dietary Assessment Methods Used to Measure Individual Dietary Intakes in Low- and Middle-Income Countries and Under-Served Populations in High-Income Countries. Nutrients, 17(2). doi:10.3390/nu17020360

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  • Dodd, C. T., Adam, M. T. P., Windus, J. L., & Rollo, M. E. (2025). Automated Processing of Speech Recordings for Dietary Assessment: Evaluation in the LLMIC Context. IEEE Access, 13, 59911-59922. doi:10.1109/ACCESS.2025.3555998

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  • Dodd, C., Adam, M., Stewart, S., Windus, J., & Rollo, M. (2024). Design of a Semi-automated System for Dietary Assessment of Image-Voice Food Records. IEEE Access. doi:10.1109/ACCESS.2024.3505199

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  • 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

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  • 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

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  • 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

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  • Rouast, P.V., Adam, M. T. P. (2021). Single-Stage Intake Gesture Detection Using CTC Loss and Extended Prefix Beam Search. IEEE Journal of Biomedical and Health Informatics, 25 2733-2743. doi: 10.1109/JBHI.2020.3046613

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  • 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

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  • 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

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

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

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Datasets

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  • 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 

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  • The VISIDA system code is available under an open source licence. Further information is available here.

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© VISIDA Project 2017-2025

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