This work proposes a robotic manipulator assistant for disabled users and/or for elderly people with limited motor skills. In detail, the interaction among the robot and the user is based on the user gestures recognition. The user chooses an object among those available by moving his/her arm in a specific pose, which is recognized by using an external camera. Then, images of the objects accessible to the robot are acquired via the robot camera, located at the end of the robot arm, and are analyzed by a Support Vector Machine classifier in order to recognize the user selected object. Finally, the manipulator picks the object and places it on the user's hand, whose location in the Cartesian space is determined via the external camera and updated online.

A Gestures Recognition Based Approach for Human-Robot-Interaction / Freddi, A.; Goffi, M.; Longhi, S.; Monteriu, A.; Ortenzi, D.; Pagnotta, D. Proietti. - ELETTRONICO. - (2018), pp. 27-28. (Intervento presentato al convegno 2018 Zooming Innovation in Consumer Technologies Conference, ZINC 2018 tenutosi a srb nel 2018) [10.1109/ZINC.2018.8448601].

A Gestures Recognition Based Approach for Human-Robot-Interaction

Freddi, A.;Longhi, S.;Monteriu, A.;Ortenzi, D.;Pagnotta, D. Proietti
2018-01-01

Abstract

This work proposes a robotic manipulator assistant for disabled users and/or for elderly people with limited motor skills. In detail, the interaction among the robot and the user is based on the user gestures recognition. The user chooses an object among those available by moving his/her arm in a specific pose, which is recognized by using an external camera. Then, images of the objects accessible to the robot are acquired via the robot camera, located at the end of the robot arm, and are analyzed by a Support Vector Machine classifier in order to recognize the user selected object. Finally, the manipulator picks the object and places it on the user's hand, whose location in the Cartesian space is determined via the external camera and updated online.
2018
9781538649275
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/262308
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