Postdoctoral Research Fellow in Biomedical Engineering
School of Engineering
University of Warwick
CV4 7AL, UK
Email: J dot D dot Amor at warwick dot ac dot uk
- Computationally intelligent data processing
- Data processing for multi-sensor environments
- Wearable technology for health and activity monitoring
- Activity and behaviour monitoring for health and wellbeing
- Movement and activity detection from wrist worn devices
James graduated from the University of Southampton in 2007 with an MEng in Computer Science, with a particular focus on complex data processing and computational intelligence techniques. He went on to do a PhD focusing on the identification of human behaviour patterns from long-term health and wellness monitoring systems. This work focused on the application signal processing and computational intelligence to the processing of multi-parametric data sets from multi-sensor environments.
In 2012 James moved to the University of Warwick to take up a post-doctoral position working on the Unobtrusive Smart Environments for Independent Living (USEFIL) project, specifically on wearable devices for assisted living. Jame’s work on USEFIL involved the development of a smart-watch app to detect physical activity and estimate step count and energy consumption; and the validation of these techniques against whole body calorimitery.
Work in a simmilar vein continued with the Auto-Motive project, which developing a sensor based self-management system for Bipolar Disorder. James' work on this project focused on the processing of data from a multi-sensor environment and the application of computational intelligence techniques to this data set to predict the onset of manic and depressive episodes.
- C.J. James, J.D. Amor et al. AART-BC: A sensor system for monitoring assistive technology use beyond the clinic. In proceedings of the IEEE 38th Annual International Conference of the Engineering and Medicine in Biology Society, 2016.
- V. Ahanathapillai, J.D. Amor and C.J. James. Assistive technology to monitor activity, health and wellbeing in old age: the wrist wearable unit in the USEFIL project. Technology and Disability, 27(1), 17-29. 2015.
- J.D. Amor and C.J. James. Monitoring changes in behaviour from multi-sensor systems. Healthcare Technology Letters, 1(4), 92-97, 2014.
- V Ahanathapillai, JD Amor, M Tadeusiak, CJ James, "Wrist-Worn Accelerometer to Detect Postural Transitions and Walking Patterns", XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013, pp1515-1518
- James D Amor, Vijayalakshmi Ahanathapillai, Christopher J James, "Detecting and Analyzing Activity Levels for the Wrist Wearable Unit in the USEFIL Project", XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013, pp1201-1204
- James David Amor, Christopher James, Vijayalakshmi Ahanathapillai, "Enhancing Independent Living with Wearable Devices: The Wrist Wearable Unit in the USEFIL Project", International Journal of Integrated Care, 2013
- Syed Golam Mohiuddin, Sally C Brailsford, Christopher J James, James D Amor, Jesse Michael Blum, John A Crowe, Evan H Magill, Pawel A Prociow, "A multi-state model to improve the design of an automated system to monitor the activity patterns of patients with bipolar disorder", Journal of the Operational Research Society, 2012