The machine-learning-empowered gesture recognition glove “2279

HIGHLIGHTS

SUMMARY

    As a method of nonverbal communication, standardized gestures play an important role in the transmission of message on specific occasions, such as communication between auditory-impaired individuals and information interaction in AR/VR environments or military fields. Common flexible sensors for gesture recognition include piezoresistive sensors, capacitive sensors, piezoelectric sensors, triboelectric sensors and EMG sensor arrays. The classification of sensor signals and the extraction of gesture features are the key factors to determine the accuracy of gesture recognition. It generally requires intelligent algorithms to train sensor signals and generate appropriate classifiers. To enhance the . . .

     

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