首页|Findings from Southern University of Science and Technology (SUSTech) Update Understanding of Machine Learning (Machine- learning-assisted Soft Fiber Optic Glove System for Sign Language Recognition)
Findings from Southern University of Science and Technology (SUSTech) Update Understanding of Machine Learning (Machine- learning-assisted Soft Fiber Optic Glove System for Sign Language Recognition)
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2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting originating from Shenzhen, People’s Republic of China, by NewsRx correspondents, research stated, “Sign language recognition devices are effective approaches to breaking the communication barrier between signers and non-signers and exploring human-machine interactions. Wearable gloves have been developed for gesture recognition and virtual reality applications by employing flexible sensors for motion detection and machine learning for data analysis.” Financial support for this research came from National Natural Science Foundation of China (NSFC).
ShenzhenPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesHealth and MedicineMachine LearningManual CommunicationRehabilitationRehabil- itation of Hearing ImpairedSign LanguageTherapySouthern University of Science and Technology (SUSTech)
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IEEE
