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Enhancing self-directed upper-limb (UL) exercise practice using GripAble gaming device and Lycra arm sleeve in people with stroke (PwS): An evaluative study (2023)
Presentation / Conference
Pearce, A., Ruiz Garate, V., Welsby, J., Caleb-Solly, P., & Kumar, P. (2023, December). Enhancing self-directed upper-limb (UL) exercise practice using GripAble gaming device and Lycra arm sleeve in people with stroke (PwS): An evaluative study. Poster presented at UK Stroke Forum, Birmingham

Background: The national clinical guidelines recommend repetitive task training to enhance UL rehabilitation in PwS. GripAbleā„¢ (a self-directed exergaming device) has shown to increase repetitive practice in PwS. Previous studies have shown that a Ly... Read More about Enhancing self-directed upper-limb (UL) exercise practice using GripAble gaming device and Lycra arm sleeve in people with stroke (PwS): An evaluative study.

Open-source re-configurable interfacing of Tobii Pro Glasses 2 with ROS2 (2022)
Presentation / Conference
Nunez Sardinha, E., & Ruiz Garate, V. (2022, October). Open-source re-configurable interfacing of Tobii Pro Glasses 2 with ROS2. Paper presented at XR & Robotics Workshop at IROS 2022, Kyoto International Conference Center (ICC Kyoto) Takaragaike, Sakyo-ku, Kyoto 606-0001 Japan

Gaze tracking is a powerful assistive tool enabling people with severe disabilities to interact with complex systems intuitively. Among these, screen-based gaze-control is one of the main input tools used with people with severe mobility impairments,... Read More about Open-source re-configurable interfacing of Tobii Pro Glasses 2 with ROS2.

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.