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Up a levelJournal article
JOHNSON, T., 2025. DigitalExposome: a dataset for wellbeing classification using environmental air quality and human physiological data. Data in Brief, 59: 111442. ISSN 2352-3409
PATRICK, B., JOHNSON, T. and KANJO, E., 2024. Internetless low-cost sensing system for real-time livestock monitoring. IEEE Sensors Letters, 8 (6): 7500504. ISSN 2475-1472
WOODWARD, K., JOHNSON, T., PATRICK, B., GIBBS, M., ANWAR, A., KANJO, E. and WÜSTENBERG, J., 2024. The MEMO Project Inscription app: fostering community engagement on biodiversity loss. Interactions, 31 (2), pp. 9-11. ISSN 1072-5520
JOHNSON, T. and KANJO, E., 2023. Urban Wellbeing: a portable sensing approach to unravel the link between environment and mental wellbeing. IEEE Sensors Letters. ISSN 2475-1472
JOHNSON, T., KANJO, E. and WOODWARD, K., 2023. DigitalExposome: quantifying impact of urban environment on wellbeing using sensor fusion and deep learning. Computational Urban Science, 3 (1): 14. ISSN 2730-6852
Chapter in book
JOHNSON, T., WOODWARD, K. and KANJO, E., 2024. Emotion on the edge: air quality sensors decoded as a real-world emotion indicator. In: 2024 IEEE International Conference on Pervasive Computing and Communications (PerCom). Institute of Electrical and Electronics Engineers (IEEE), pp. 267-272. ISBN 9798350304367
JOHNSON, T. and KANJO, E., 2023. Designing an interactive mobile assessment tool to quantify impact of the environment on wellbeing. In: G. SALVENDY and J. WEI, eds., Design, operation and evaluation of mobile communications: 4th International Conference, MOBILE 2023, held as part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings. Lecture notes in computer science . Cham: Springer, pp. 286-295. ISBN 9783031359200
JOHNSON, T. and KANJO, E., 2023. Episodes of change: emotion change in semantic trajectories of multimodal sensor data. In: Proceedings of EmotionAware 2023: Seventh International Workshop on Emotion Awareness for Pervasive Computing Beyond Traditional Approaches, Atlanta USA, 13-17 March 2023. Institute of Electrical and Electronics Engineers (IEEE).
JOHNSON, T. and KANJO, E., 2023. Designing an interactive mobile assessment tool to quantify impact of the environment on wellbeing. In: G. SALVENDY and J. WEI, eds., Design, Operation and Evaluation of Mobile Communications: 4th International Conference, MOBILE 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings. Lecture notes in computer science (14052). Cham: Springer, pp. 286-295. ISBN 9783031359200
JOHNSON, T. and KANJO, E., 2021. Sensor fusion and the city: visualisation and aggregation of environmental and wellbeing data. In: 2021 IEEE International Smart Cities Conference (ISC2). IEEE. ISBN 9781665449205
Research datasets and databases
JOHNSON, T., 2025. DigitalExposome: a dataset for wellbeing classification using environmental air quality and human physiological data. [Dataset]
Working paper
JOHNSON, T. and KANJO, E., 2023. TinyDigitalExposome: the opportunities of multimodal urban environmental data and mental wellbeing on constrained microcontrollers. Nottingham: Nottingham Trent University.
