Closed Loop Feedback Systems for Upper Limb Prostheses
Intuitive control resulting from sensory feedback is of high importance for upper limb amputees. Due to the lack of sensory perception, interaction with the environment is a difficult task. In this regard, the objective of this study is to provide haptic feedback in prostheses. Currently, users of prosthetic devices are limited to only visually monitoring their performance, which demands a high cognitive effort.
An augmented reality home-training system based on the mirror and imagery treatment approach
In cooperation with the medical faculty of Mannheim University, a computer based mirror training system is used to treat phantom limb pain. A head mounted display (HMD) equipped with cameras captures one hand held in front of the body, mirrors this hand and displays it in real-time in a set of four different training tasks: (1) bending fingers in a predefined sequence, (2) moving the hand into a posture fitting into a silhouette template, (3) driving a ‘Snake’ video game with the index finger, (4) grasping and moving a virtual ball. The training progress will be monitored. Performance indicators showed that the system achieves a good balance between relatively easy and more challenging tasks and that participants improved significantly over the training sessions.