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Outputs (9)

Optical fiber angle sensors for the PrHand prosthesis: Development and application in grasp types recognition with machine learning (2022)
Presentation / Conference Contribution

This work presents the instrumentation of the PrHand upper-limb prosthesis with optical fiber sensors to measure the angle of the proximal interphalangeal joint. The angle sensors are based on bending-induced loss and are fabricated with polymer opti... Read More about Optical fiber angle sensors for the PrHand prosthesis: Development and application in grasp types recognition with machine learning.

Mirror-based robotic therapy for ankle recovery with a serious game: A case study with a neurological patient (2022)
Presentation / Conference Contribution

Neuromuscular disorders, such as foot drop, severely affect the locomotor function and walking independence after a brain injury event. Mirror-based robotic therapy (MRT) has been a promising rehabilitation strategy favouring upper limb muscle streng... Read More about Mirror-based robotic therapy for ankle recovery with a serious game: A case study with a neurological patient.

Three study cases of social robotics in autism spectrum disorder treatment: Personalization and usability of CASTOR robot (2022)
Presentation / Conference Contribution

Social assistive robotics in autism has been implemented in studies and therapies to improve social skills and encourage children to comply with therapies. However, autism symptoms vary in their spectrum, which generates difficulties in implementing... Read More about Three study cases of social robotics in autism spectrum disorder treatment: Personalization and usability of CASTOR robot.

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.