Professor Ian Craddock

Latest publications

• Yordanova, K, Lüdtke, S, Whitehouse, S, Krüger, F, Paiement, A, Mirmehdi, M, Craddock, I & Kirste, T, 2019, ‘Analysing Cooking Behaviour in Home Settings: Towards Health Monitoring’. Sensors, vol 19.
• Burrows, A, Meller, B, Craddock, I, Hyland, F & Gooberman-Hill, R, 2019, ‘User involvement in digital health: Working together to design smart home health technology’. Health Expectations, vol 22., pp. 65-73
• McConville, R, Byrne, D, Craddock, I, Piechocki, R, Pope, J & Santos-Rodriguez, R, 2019, ‘A dataset for room level indoor localization using a smart home in a box’. Data in Brief, vol 22., pp. 1044-1051
• Beach, C, Krachunov, S, Pope, J, Fafoutis, X, Piechocki, RJ, Craddock, I & Casson, AJ, 2018, ‘An Ultra Low Power Personalizable Wrist Worn ECG Monitor Integrated with IoT Infrastructure’. IEEE Access, vol 6., pp. 44010-44021
• Elsts, A, Burghardt, T, Byrne, D, Camplani, M, Damen, D, Fafoutis, X, Hannuna, S, Harwin, W, Holmes, M, Janko, B, Lopez, VP, Masullo, A, Mirmehdi, M, Oikonomou, G, Piechocki, R, Sherratt, S, Tonkin, EL, Twomey, N, Vafeas, A, Woznowski, PR & Craddock, I, 2018, ‘A Guide to the SPHERE 100 Homes Study Dataset’.
• Tao, L, Burghardt, T, Mirmehdi, M, Damen, D, Cooper, A, Camplani, M, Hannuna, S, Paiement, A & Craddock, I, 2018, ‘Energy expenditure estimation using visual and inertial sensors’. IET Computer VIsion, vol 12., pp. 36-47
• Elsts, A, Fafoutis, X, Woznowski, PR, Tonkin, EL, Oikonomou, G, Piechocki, R & Craddock, I, 2018, ‘Enabling Healthcare in Smart Homes: The SPHERE IoT Network Infrastructure’. IEEE Communications Magazine, vol 56., pp. 164-170
• Adami, SE, Proynov, P, Hilton, GS, Yang, G, Zhang, C, Zhu, D, Li, Y, Beeby, SP, Craddock, IJ & Stark, BH, 2018, ‘A Flexible 2.45-GHz Power Harvesting Wristband with Net System Output from -24.3 dBm of RF Power’. IEEE Transactions on Microwave Theory and Techniques, vol 66., pp. 380-395
• Fafoutis, X, Marchegiani, L, Elsts, A, Pope, J, Piechocki, R & Craddock, I, 2018, ‘Extending the battery lifetime of wearable sensors with embedded machine learning’. in: 2018 IEEE 4th World Forum on Internet of Things (WF-IoT 2018): Proceedings of a meeting held 5-8 February 2018, Singapore. Institute of Electrical and Electronics Engineers (IEEE), pp. 269-274
• Byrne, D, Kozlowski, M, Santos-Rodriguez, R, Piechocki, R & Craddock, I, 2018, ‘Residential wearable RSSI and accelerometer measurements with detailed location annotations’. Scientific Data, vol 5.