Dimitrios Menychtas — accepted AI-conference papers

2019

Upper Limb Motion Simulation Algorithm for Prosthesis Prescription and Training

Dimitrios Menychtas, Stephanie L. Carey, Redwan Alqasemi, Rajiv V. Dubey

IROS 2019poster

A simulation algorithm to predict expected upper limb movements of prosthesis users performing activities of daily living (ADL) was developed. It is quite challenging to determine the right type and fit of a prosthesis and provide appropriate training to properly utilize it. The amputee care team ty…

Cited by 3 Source ↗Scholar ↗

2016

A robotic human body model with joint limits for simulation of upper limb prosthesis users

Dimitrios Menychtas, Stephanie Carey, Rajiv V. Dubey, Derek Lura

IROS 2016

The human upper body has many degrees of freedom (DoFs) making it highly redundant and allowing for great flexibility during daily tasks. Because of this redundancy, each joint rarely uses its full range of motion (ROM) during activities of daily living (ADL). However, when DoFs are lost due to an a

Cited by 3 Source ↗Scholar ↗