Conditioning and processing of biological signals represent interesting challenges for wearable electronics in health applications. Information gathering from these signals requires complex hardware circuitry and dedicated computation resources. The design of innovative analog front-end integrated circuits, combined with efficient signal processing algorithms, allows the development of platforms for monitoring, activity and gesture recognition based on embedded real-time systems. This paper describes an Electromyography pattern recognition system based on the combination of low cost passive sensors, an innovative analog front-end and a low power microcontroller. The performance of the proposed system matches state-of-the-art high-end active sensors, opening the way to the development of affordable and accurate wearable devices.

EMG-based hand gesture recognition with flexible analog front end

BENATTI, SIMONE;MILOSEVIC, BOJAN;CASAMASSIMA, FILIPPO;HUANG, QUNXI;BENINI, LUCA
2014

Abstract

Conditioning and processing of biological signals represent interesting challenges for wearable electronics in health applications. Information gathering from these signals requires complex hardware circuitry and dedicated computation resources. The design of innovative analog front-end integrated circuits, combined with efficient signal processing algorithms, allows the development of platforms for monitoring, activity and gesture recognition based on embedded real-time systems. This paper describes an Electromyography pattern recognition system based on the combination of low cost passive sensors, an innovative analog front-end and a low power microcontroller. The performance of the proposed system matches state-of-the-art high-end active sensors, opening the way to the development of affordable and accurate wearable devices.
IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings
57
60
Benatti, S.; Milosevic, B.; Casamassima, F.; Schonle, P.; Bunjaku, P.; Fateh, S.; Huang, Q.; Benini, L.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/525426
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