首页|Data on Machine Learning Discussed by Researchers at University of Science and T echnology Beijing (Enhancing Gesture Recognition In Low-light Conditions Using L aser-induced Graphene Flexible Strain Sensors)

Data on Machine Learning Discussed by Researchers at University of Science and T echnology Beijing (Enhancing Gesture Recognition In Low-light Conditions Using L aser-induced Graphene Flexible Strain Sensors)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Machine Learn ing have been published. According tonews originating from Beijing, People’s Re public of China, by NewsRx correspondents, research stated,“Gesture recognition using machine learning methods is valuable in the development of healthcare andhuman-computer interaction and typically relies on images or video. To improve recognition accuracy,these visual data can be combined with data from other sen sors, but this approach, known as data fusion,is limited by the quality of sens or data and incompatible datasets.”

BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesGesture RecognitionMachine LearningUniver sity of Science and Technology Beijing

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.16)