A team of researchers at Columbia (University) Engineering have added electronics and computation technology to a walking cane to transform it into a robotic device that can provide light-touch assistance in walking to the elderly and individuals with impaired mobility. A team led by Sunil Agrawal, PhD, professor of mechanical engineering and of rehabilitation and regenerative medicine at Columbia Engineering, has demonstrated the benefit of using an autonomous robot that “walks” alongside a person to provide light-touch support, much as an individual might lightly touch a companion’s arm or sleeve to maintain balance while walking. Their study, Effects of a Person-Following Light-Touch Device during Overground Walking with Visual Perturbations in a Virtual Reality Environment, was published in the IEEE Robotics and Automation Letters.
“Often, elderly people benefit from light handholding for support,” explained Agrawal, who is also a member of Columbia University’s Data Science Institute. “We have developed a robotic cane attached to a mobile robot that automatically tracks a walking person and moves alongside. The subjects walk on a mat instrumented with sensors while the mat records step length and walking rhythm, essentially the space and time parameters of walking, so that we can analyze a person’s gait and the effects of light touch on it.”
The light-touch robotic cane, called CANINE, acts as a cane-like mobile assistant. The device improves the individual’s proprioception during walking, which in turn improves stability and balance.
“This is a novel approach to providing assistance and feedback for individuals as they navigate their environment,” said Joel Stein, MD, Simon Baruch Professor of physical medicine and rehabilitation and chair of the department of rehabilitation and regenerative medicine at Columbia University Irving Medical Center, who co-authored the study with Agrawal. “This strategy has potential applications for a variety of conditions, especially individuals with gait disorders.”
To test this new device, the team fitted 12 healthy young people with virtual reality (VR) glasses that created a visual environment that shakes around the user—both side-to-side and forward-backward—to unbalance their walking gait. The subjects each walked 10 laps on the instrumented mat, both with and without the robotic cane, in conditions that tested walking with these visual perturbations. In all virtual environments, having the light-touch support of the robotic cane caused all subjects to narrow their strides. The narrower strides, which represent a decrease in the base of support and a smaller oscillation of the center of mass, indicate an increase in gait stability due to the light-touch contact.
“The next phase in our research will be to test this device on elderly individuals and those with balance and gait deficits to study how the robotic cane can improve their gait,” said Agrawal, who directs the Robotics and Rehabilitation (ROAR) Laboratory. “In addition, we will conduct new experiments with healthy individuals, where we will perturb their head-neck motion in addition to their vision to simulate vestibular deficits in people.”