Output details

Collaborative Control for a Robotic Wheelchair: Evaluation of Performance, Attention, and Workload

Powered wheelchair users often struggle for effective control and sometimes require assistance. A collaborative control mechanism that assists users as they require help has bee developed. This predicts the driver's intentions and adjusts the control signals to achieve the desired goal safely. Performance was assessed by eye tracking. Without assistance, participants experienced multiple collisions but when assisted by the collaborative controller they were safer and paid less attention reducing reducing cognitive workload. The importance of these results is that brain-machine interfaces, could be used to compensate for both the low frequency and the low resolution of the user input.