Researcher from Universitas Hasanuddin Provides Details of New Studies and Findings in the Area of Computational Intelligence (Applying LSTM and GRU Methods to Recognize and Interpret Hand Gestures, Poses, and Face-Based Sign Language in Real...).
In: Health & Medicine Week, 2024-04-12, S. 5671
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Zugriff:
A recent study conducted by researchers from Universitas Hasanuddin focuses on the application of computational intelligence in sign language recognition. The study utilizes a real-time, human-computer interaction application to interpret Indonesian sign language through hand gestures, mimics, and poses. The researchers developed a research framework that coordinates hand gestures with poses and mimics to create features using holistic MediaPipe. The findings of the study demonstrate that hand gestures in real-time interactions can be reliably recognized, with accuracy rates of 94% and 96% for the LSTM and GRU methods, respectively. This research contributes to the field of rehabilitation for the hearing impaired and offers potential applications in therapy and manual communication. [Extracted from the article]
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Researcher from Universitas Hasanuddin Provides Details of New Studies and Findings in the Area of Computational Intelligence (Applying LSTM and GRU Methods to Recognize and Interpret Hand Gestures, Poses, and Face-Based Sign Language in Real...).
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Zeitschrift: | Health & Medicine Week, 2024-04-12, S. 5671 |
Veröffentlichung: | 2024 |
Medientyp: | serialPeriodical |
ISSN: | 1531-6459 (print) |
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