Researchers at the University of Michigan have developed a neural interface that allows a person with paralysis to control a virtual quadcopter using their brain activity. This breakthrough could open up new possibilities for recreation and social interaction for people with motor impairments.
Scientists in the US have developed a neural interface that enables an individual with paralysis to control a virtual quadcopter by decoding brain activity into distinct finger movements.
More than 5 million people in the US live with severe motor impairments, according to research. Social and medical care can meet some of their basic needs and others, including peer support , leisure activities and sports , according to a survey of individuals with spinal cord injuries resulting in paralysis.
Researchers implanted the device in the left precentral gyrus, which controls hand movement, of a person with upper and lower extremity paralysis. The system recorded the participant’s virtual hand movements and employed machine learning algorithms to pick out the signals linked to specific fingers. It identified and predicted movements in three highly distinct finger groups and achieved a level of movement precision not previously possible.
“The participant’s intuitive control was anecdotally described as being like playing a musical instrument and evoked a strong sense of enablement, recreation and socialization,” the researchers said.Brain boffins think they've found the data format we use to store images as memories
Brain-Computer Interface Paralysis Virtual Reality Social Interaction Technology
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