首页|Researchers at Nanjing Medical University Publish New Study Findings on Robotics (Hand Function Rehabilitation Training Robot Based on Ycbcr and CNN)
Researchers at Nanjing Medical University Publish New Study Findings on Robotics (Hand Function Rehabilitation Training Robot Based on Ycbcr and CNN)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on robotics have bee n published. According to news originating from Lianyungang, People’s Republic o f China, by NewsRx editors, the research stated, “Robot technology shows broad a pplication prospects in rehabilitation medicine, especially in hand rehabilitati on. Hand function plays an important role that cannot be ignored in daily life, and its key properties are reflected in multiple levels.” The news editors obtained a quote from the research from Nanjing Medical Univers ity: “From basic life skills to occupational needs, healthy hand function is ind ispensable. Hand function is the foundation for performing daily life skills, in cluding activities such as self-care, eating, dressing, and grooming. The abilit y to freely use hand functions is directly related to an individual’s quality of life and independence. This study proposed a gesture recognition algorithm by f using Ycbcr color space and convolutional neural network. The method first conve rted gesture images and recognizes them through the converted images. Then, a ha nd function rehabilitation training robot based on Ycbcr and CNN was designed, w hich provided rehabilitation treatment for patients with impaired hand function. These experiments confirmed that when the data set size was 500, the signal-to- noise ratios of YOLOV3, YOLOV3-SPP, YOLOV4, and hybrid algorithms were 27.5dB, 3 2.7dB, 34.8dB, and 41.2dB, respectively.”
Nanjing Medical UniversityLianyungangPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobo tRobotics
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