Follow, listen, feel and go: alternative guidance systems for a walking assistance device
This work addresses the challenge of improving mobility and safety for older adults through assistive technology, but it is incremental as it builds on existing robotic walking assistants by testing new guidance methods.
The paper tackled the problem of guiding older adults along safe paths using a robotic walking assistant by proposing and testing four alternative guidance systems, including mechanical, tactile, and acoustic stimuli, with results from user validation involving young participants to establish a safer methodology for future studies.
In this paper, we propose several solutions to guide an older adult along a safe path using a robotic walking assistant (the c-Walker). We consider four different possibilities to execute the task. One of them is mechanical, with the c-Walker playing an active role in setting the course. The other ones are based on tactile or acoustic stimuli, and suggest a direction of motion that the user is supposed to take on her own will. We describe the technological basis for the hardware components implementing the different solutions, and show specialized path following algorithms for each of them. The paper reports an extensive user validation activity with a quantitative and qualitative analysis of the different solutions. In this work, we test our system just with young participants to establish a safer methodology that will be used in future studies with older adults.