A machine learning model for predicting sit-to-stand trajectories of people with and without stroke: towards adaptive robotic assistance
(2022)
Journal Article
Bennett, T., Kumar, P., & Ruiz Garate, V. R. (2022). A machine learning model for predicting sit-to-stand trajectories of people with and without stroke: towards adaptive robotic assistance. Sensors, 22(13), https://doi.org/10.3390/s22134789
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.