Technology, Robotics, Artificial IntelligenceJune 29, 2023Revolutionizing music rehabilitation: Robotic glove uses machine learning to enhance musical skillsResearchers from Florida Atlantic University's College of Engineering and Computer Science conducted a study using machine learning algorithms to classify song variations using tactile sensors in a robotic glove. The study, published in Frontiers in Robotics and AI, found that the Artificial Neural Network (ANN) algorithm achieved the highest classification accuracy, accurately identifying correct and incorrect song variations with and without the presence of a human subject. With the human subject, the ANN algorithm reached an accuracy of 97.13%, while without the human subject, it achieved 94.60%. The robotic glove, designed using 3D printing and wearable technology, has the potential to aid individuals with disabilities, such as relearning musical instruments. The glove's integrated sensors and actuators enable it to detect errors and timing issues, making it valuable for personalized rehabilitation programs. The research was supported by grants from the National Institutes of Health and the National Science Foundation, highlighting the significance of this technology for individuals with neuromuscular disorders.
Source: Florida Atlantic University