Robotics & Machine Learning Daily News2024,Issue(Apr.16) :23-23.

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)

Robotics & Machine Learning Daily News2024,Issue(Apr.16) :23-23.

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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Abstract

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.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Gesture Recognition/Machine Learning/Univer sity of Science and Technology Beijing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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