This demonstration presents a smart wearable armband for hand gesture recognition interfaced with a 6-DOF robotic arm which actuates the user’s movements. The armband is composed of seven modules which detect the muscular activity beneath them, fuse the data together, predict the performed gesture, and transmit the high-level information to an external computer via a Bluetooth Low Energy (BLE) communication. There, a software module transforms the sequence of gestures into consistent commands for the robotic arm. The observed responsiveness and accuracy make this armband suitable for the real-time control of robotic limbs in mixed reality scenarios.

Live Demonstration: A Wearable Armband for Real-Time Control of Multi-DOF Robotic Actuators / Mongardi, Andrea; Rossi, Fabio; Prestia, Andrea; Demarchi, Danilo; Motto Ros, Paolo. - ELETTRONICO. - (2023), pp. 1-1. (Intervento presentato al convegno 2023 IEEE International Symposium on Circuits and Systems (ISCAS) tenutosi a Monterey, CA, USA nel 21-25 May 2023) [10.1109/ISCAS46773.2023.10181982].

Live Demonstration: A Wearable Armband for Real-Time Control of Multi-DOF Robotic Actuators

Mongardi, Andrea;Rossi, Fabio;Prestia, Andrea;Demarchi, Danilo;Motto Ros, Paolo
2023

Abstract

This demonstration presents a smart wearable armband for hand gesture recognition interfaced with a 6-DOF robotic arm which actuates the user’s movements. The armband is composed of seven modules which detect the muscular activity beneath them, fuse the data together, predict the performed gesture, and transmit the high-level information to an external computer via a Bluetooth Low Energy (BLE) communication. There, a software module transforms the sequence of gestures into consistent commands for the robotic arm. The observed responsiveness and accuracy make this armband suitable for the real-time control of robotic limbs in mixed reality scenarios.
2023
978-1-6654-5109-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2980615