“A novel adaptive gesture recognition framework for bionic hands using Stacked Autoencoder (SAE), Adaptive Bayesian Feature Selection (ABFS), MODWT, and Hybrid sEMG–MMG Sensor Modality”

For amputees and those who rely on prosthetic limbs, the dream of natural, intuitive movement is now within reach. This work present an intelligent bionic hand that doesn’t just follow commands—it learns, adapts, and responds in real time, almost like a natural extension of the body.By combining mus...

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Hlavní autoři:	Amol Pandurang Yadav, S.R. Patil
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2026-06-01
Edice:	MethodsX
Témata:	Magnetomyography(MMG) Surface electromyography (sEMG) Stacked Autoencoder (SAE) Adaptive Bayesian Feature Selection (ABFS) Discrete wavelet transform with maximum overlap (MODWT) Gesture recognition
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2215016126000634
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