Items where Author is "Woodward, K"
Journal article
WOODWARD, K., KANJO, E., PARKER, W. and PATRICK, B., 2024. A stand-alone proximity-based gaming wearable for remote physical activity monitoring. IEEE Transactions on Knowledge and Data Engineering, 5: e9. ISSN 1041-4347
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
WOODWARD, K., KANJO, E. and TSANAS, A., 2023. Combining deep learning with signal-image encoding for multi-modal mental wellbeing classification. ACM Transactions on Computing for Healthcare. ISSN 2691-1957
GIBBS, M., WOODWARD, K. and KANJO, E., 2023. Combining multiple tinyML models for multimodal context-aware stress recognition on constrained microcontrollers. IEEE Micro. ISSN 0272-1732
WOODWARD, K., KANJO, E., BROWN, D.J., MCGINNITY, T.M. and HAROLD, G., 2023. In the hands of users with intellectual disabilities: co-designing tangible user interfaces for mental wellbeing. Personal and Ubiquitous Computing. ISSN 1617-4909
KANJO, E. and WOODWARD, K., 2023. Tag in the Park: paving the way for proximity-based AI pervasive games. IEEE Communications Magazine. ISSN 1558-1896
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
KANJO, E. and WOODWARD, K., 2020. iFidgetCube: Tangible Fidgeting Interfaces (TFIs) to monitor and improve mental wellbeing. IEEE Sensors Journal. ISSN 1530-437X
WOODWARD, K., KANJO, E., BROWN, D., MCGINNITY, T.M., INKSTER, B., MACINTYRE, D. and TSANAS, T., 2020. Beyond mobile apps: a survey of technologies for mental well-being. IEEE Transactions on Affective Computing. ISSN 1949-3045
WOODWARD, K., KANJO, E., OIKONOMOU, A. and CHAMBERLAIN, A., 2020. LabelSens: enabling real-time sensor data labelling at the point of collection using an artificial intelligence-based approach. Personal and Ubiquitous Computing. ISSN 1617-4909
Authored book
WOODWARD, S. and WOODWARD, K., 2009. Feminism for the 21st century: lost and found. Palgrave Macmillan.
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
WOODWARD, K., KANJO, E. and PARKER, W., 2022. Co-creating an object recognition exergame with hospital service users to promote physical activity. In: UNSPECIFIED Springer. (Forthcoming)
WOODWARD, K., KANJO, E. and BROWN, D., 2019. Challenges of designing and developing tangible interfaces for mental well-being. In: CHI 2019: 37th Annual ACM Conference on Human Factors in Computing Systems Extended Abstracts, Glasgow, Scotland, 4-9 May 2019. New York: Association for Computing Machinery (ACM). ISBN 9781450359719 (Forthcoming)
WOODWARD, K., KANJO, E., BURTON, S. and OIKONOMOU, A., 2018. EmoEcho: a tangible interface to convey and communicate emotions. In: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers: Ubicomp/ISWC 2018, Singapore, 8-12 October 2018. New York: Association for Computing Machinery (ACM), pp. 746-749. ISBN 9781450359665
WOODWARD, K. and KANJO, E., 2018. Things of the Internet (ToI): physicalization of notification data. In: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers: Ubicomp/ISWC 2018, Singapore, 8-12 October 2018. New York: Association for Computing Machinery (ACM), pp. 1228-1233. ISBN 9781450359665
Conference contribution
RAIDEN, A., MANU, E. and WOODWARD, K., 2024. Engagement strategy for co-creating and co-delivering interventions for productivity improvements in the construction industry. In: Institute for Knowledge Exchange Practice (IKEP) Conference, Nottingham Trent University, Nottingham, 27 June 2024.
KANJO, E., WOODWARD, K., TAYLOR, K. and HUNT, J., 2022. A multi-sensor deep learning approach for complex daily living activity recognition. In: Workshop on Emerging Devices for Digital Biomarkers (DigiBiom), colocated with MobiSys 2022, Portland, Oregon, USA, 1-4 July 2022.
WOODWARD, K., KANJO, E. and BROWN, D., 2019. AI-powered tangible interfaces to transform children’s mental well-being. In: 5th IEEE International Conference on Internet of People (IoP 2019), Leicester, 19-23 August 2019. (Forthcoming)
Thesis
WOODWARD, K., 2021. Tangible fidgeting interfaces for mental wellbeing recognition using deep learning applied to physiological sensor data. PhD, Nottingham Trent University.
Working paper
WOODWARD, K., GIBBS, M. and KANJO, E., 2023. Combining multiple tinyML models for multimodal context-aware stress recognition on constrained microcontrollers. Nottingham: Nottingham Trent University.