'Smart' Walking Stick Could Help Visually Impaired with Groceries, Finding Seat

The researchers say that their "smart" walking stick could one day help blind people navigate tasks in a world designed for sighted people -- from shopping for a box of cereal at the grocery store to picking a private place to sit in a crowded cafeteria, the Sciencedaily reported.

"I really enjoy grocery shopping and spend a significant amount of time in the store," said Shivendra Agrawal, a doctoral student in the Department of Computer Science. "A lot of people can't do that, however, and it can be really restrictive. We think this is a solvable problem."

In a study, Agrawal and his colleagues in the Collaborative Artificial Intelligence and Robotics Lab got one step closer to solving it.

The team's walking stick resembles the white-and-red canes that you can buy at Walmart. But it also includes a few add-ons: Using a camera and computer vision technology, the walking stick maps and catalogs the world around it. It then guides users by using vibrations in the handle and with spoken directions, such as "reach a little bit to your right."

The device isn't supposed to be a substitute for designing places like grocery stores to be more accessible, Agrawal said. But he hopes his team's prototype will show that, in some cases, AI can help millions of Americans become more independent.

"AI and computer vision are improving, and people are using them to build self-driving cars and similar inventions," Agrawal said. "But these technologies also have the potential to improve quality of life for many people."

Agrawal and his colleagues first explored that potential by tackling a familiar problem: Where do I sit?

"Imagine you're in a café," he said. "You don't want to sit just anywhere. You usually take a seat close to the walls to preserve your privacy, and you usually don't like to sit face-to-face with a stranger."

Previous research has suggested that making these kinds of decisions is a priority for people who are blind or visually impaired. To see if their smart walking stick could help, the researchers set up a café of sorts in their lab -- complete with several chairs, patrons and a few obstacles.

Study subjects strapped on a backpack with a laptop in it and picked up the smart walking stick. They swiveled to survey the room with a camera attached near the cane handle. Like a self-driving car, algorithms running inside the laptop identified the various features in the room then calculated the route to an ideal seat.

The team reported its findings this fall at the International Conference on Intelligent Robots and Systems in Kyoto, Japan. Researchers on the study included Bradley Hayes, assistant professor of computer science, and doctoral student Mary Etta West.

The study showed promising results: Subjects were able to find the right chair in 10 out of 12 trials with varying levels of difficulty. So far, the subjects have all been sighted people wearing blindfolds. But the researchers plan to evaluate and improve their device by working people who are blind or visually impaired once the technology is more dependable.

"Shivendra's work is the perfect combination of technical innovation and impactful application, going beyond navigation to bring advancements in underexplored areas, such as assisting people with visual impairment with social convention adherence or finding and grasping objects," Hayes said.

In new research, Agrawal and his colleagues adapted their device for a task that can be daunting for anyone: finding and grasping products in aisles filled with dozens of similar-looking and similar-feeling choices.

Again, the team set up a makeshift environment in their lab: this time, a grocery shelf stocked with several different kinds of cereal.

Agrawal and his team then developed the tool to tackle the challenge of finding an item amongst seemingly identical options in store shelves. The device can help people easily identify their desired product from the vast array available.

In their lab, the team engineered a lifelike grocery shelf – stocked with different brands of cereal. They produced an expansive database of product photos to feed into dedicated software, allowing study subjects to scan and select products using only a walking stick.

“It assigns a score to the objects present, selecting what is the most likely product,” Agrawal said. “Then the system issues commands like ‘move a little bit to your left.’”

Agrawal says that it will still be a while before the walking stick is used in the real world. The team wants to first make it more compact, designing it in a way that works with a standard smartphone attached to the cane.

“Our aim is to make this technology mature but also attract other researchers into this field of assistive robotics,” Agrawal said. “We think assistive robotics has the potential to change the world.”

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