Investigating the feasibility of using wearable technologies and machine learning techniques to recognise distress and agitation in people living with dementia
(2020)
Journal Article
Steer, Z., Pipe, A., Battle, S., & Cheston, R. (2020). Investigating the feasibility of using wearable technologies and machine learning techniques to recognise distress and agitation in people living with dementia. Alzheimer's and Dementia, 16(S7), Article e039705. https://doi.org/10.1002/alz.039705
All Outputs (2)
A connected autonomous vehicle testbed: Capabilities, experimental processes and lessons learned (2020)
Journal Article
Kent, T., Pipe, A., Richards, A., Hutchinson, J., & Schuster, W. (2020). A connected autonomous vehicle testbed: Capabilities, experimental processes and lessons learned. Automation, 1(1), 17-32. https://doi.org/10.3390/automation1010002VENTURER was one of the first three UK government funded research and innovation projects on Connected Autonomous Vehicles (CAVs) and was conducted predominantly in the South West region of the country. A series of increasingly complex scenarios cond... Read More about A connected autonomous vehicle testbed: Capabilities, experimental processes and lessons learned.