Speech Recognition Using Intelligent Piezoresistive Sensor Based on Polystyrene Sphere Microstructures
نویسندگان
چکیده
Rapid advances in wearable sensing technology have demonstrated unprecedented opportunities for artificial intelligence. In comparison with the traditional hand-held electrolarynx, a and intelligent throat sound-sensing ability is more comfortable versatile method to assist disabled people communication. Herein, piezoresistive sensor novel configuration demonstrated, which consists of polystyrene (PS) spheres as microstructures sandwiched between silver nanowires reduced graphene oxide layers. fact, changes device's conducting patterns are obtained by spay-coating various weight ratios sizes PS microspheres, fast convenient way establish improving sensitivity. The device also exhibits high sensitivity, response time, ultralow intensity level detection. Moreover, excellent mechanical–electrical performance allows it detect subtle vibrations that can be converted into controllable sounds. this case, an achieved combining deep learning algorithm highly flexible successfully recognize five different words (help, sick, patient, doctor, COVID) accuracy exceeding 96%. new voice control well other human-machine interface applications opened.
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ژورنال
عنوان ژورنال: Advanced intelligent systems
سال: 2023
ISSN: ['2640-4567']
DOI: https://doi.org/10.1002/aisy.202200427