Advanced measurement systems and techniques from neuroscience are used in this work to extrapolate reduced- order muscle activation patterns corresponding to the execution of overhead tasks classic of automotive industry. The approach is based on the analysis of electromyographic (EMG) signals measured from muscles of the upper limb. The preliminary experiments show that, for the selected tasks, one muscle synergy could account for > 98% of the total muscle activation. This approach might pave the way towards the development of bionic, synergy-based upper limb wearable robots for augmenting human performances in industrial workplaces. © 2019 IEEE.

Assessment of upper limb muscle synergies for industrial overhead tasks: A preliminary study / Grazioso, Stanislao; Caporaso, Teodorico; Palomba, Angela; Nardella, Stefano; Ostuni, Benedetta; Panariello, Dario; DI GIRONIMO, Giuseppe; Lanzotti, Antonio. - (2019), pp. 89-92. (Intervento presentato al convegno 2nd IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2019 tenutosi a ita nel 2019) [10.1109/METROI4.2019.8792842].

Assessment of upper limb muscle synergies for industrial overhead tasks: A preliminary study

Grazioso Stanislao;Caporaso Teodorico;Palomba Angela;Panariello Dario;Di Gironimo Giuseppe;Lanzotti Antonio
2019

Abstract

Advanced measurement systems and techniques from neuroscience are used in this work to extrapolate reduced- order muscle activation patterns corresponding to the execution of overhead tasks classic of automotive industry. The approach is based on the analysis of electromyographic (EMG) signals measured from muscles of the upper limb. The preliminary experiments show that, for the selected tasks, one muscle synergy could account for > 98% of the total muscle activation. This approach might pave the way towards the development of bionic, synergy-based upper limb wearable robots for augmenting human performances in industrial workplaces. © 2019 IEEE.
2019
978-1-7281-0429-4
Assessment of upper limb muscle synergies for industrial overhead tasks: A preliminary study / Grazioso, Stanislao; Caporaso, Teodorico; Palomba, Angela; Nardella, Stefano; Ostuni, Benedetta; Panariello, Dario; DI GIRONIMO, Giuseppe; Lanzotti, Antonio. - (2019), pp. 89-92. (Intervento presentato al convegno 2nd IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2019 tenutosi a ita nel 2019) [10.1109/METROI4.2019.8792842].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/777037
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