We propose a novel approach that integrates wireless, non-invasive devices with fast, real-time algorithms for large data analysis and biofeedback reaction, to discern the voluntariness of human movement through direct sensing of brain potentials combined with muscular action signal monitoring. The system has been tested in real situations.

The ultimate IoT application: A cyber-physical system for ambient assisted living / DE VENUTO, Daniela; Annese, V. F.; Sangiovanni Vincentelli, A. L.. - In: IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS PROCEEDINGS. - ISSN 0271-4302. - (2016), pp. 2042-2045. (Intervento presentato al convegno IEEE International Symposium on Circuits and Systems, ISCAS 2016 tenutosi a Montreal, Canada nel May 22-25, 2016) [10.1109/ISCAS.2016.7538979].

The ultimate IoT application: A cyber-physical system for ambient assisted living

DE VENUTO, Daniela
;
2016-01-01

Abstract

We propose a novel approach that integrates wireless, non-invasive devices with fast, real-time algorithms for large data analysis and biofeedback reaction, to discern the voluntariness of human movement through direct sensing of brain potentials combined with muscular action signal monitoring. The system has been tested in real situations.
2016
IEEE International Symposium on Circuits and Systems, ISCAS 2016
978-1-4799-5340-0
978-1-4799-5341-7
The ultimate IoT application: A cyber-physical system for ambient assisted living / DE VENUTO, Daniela; Annese, V. F.; Sangiovanni Vincentelli, A. L.. - In: IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS PROCEEDINGS. - ISSN 0271-4302. - (2016), pp. 2042-2045. (Intervento presentato al convegno IEEE International Symposium on Circuits and Systems, ISCAS 2016 tenutosi a Montreal, Canada nel May 22-25, 2016) [10.1109/ISCAS.2016.7538979].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/81683
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