All Outputs (3)
A machine learning model for predicting sit-to-stand trajectories of people with and without stroke: towards adaptive robotic assistance (2022)
Journal Article
Sit-to-stand and stand-to-sit transfers are fundamental daily motions that enable all other types of ambulation and gait. However, the ability to perform these motions can be severely impaired by different factors, such as the occurrence of a stroke,... Read More about A machine learning model for predicting sit-to-stand trajectories of people with and without stroke: towards adaptive robotic assistance.
The case for an intervention scale to design the balance of authority for robotic assistance (2021)
Presentation / Conference Contribution
According to United Nations, by 2050 over 20% of the population will be over 65 years old. Ensuring that our ageing population stays independent and healthy for as long as possible requires higher numbers of health and social care professionals than... Read More about The case for an intervention scale to design the balance of authority for robotic assistance.