Abstract
The prehension is a complex biomechanical process; it involves nearly 200 muscles and a large number of joint and bones. Replicate this process is a complex and challenging technology. Nevertheless, it is possible to target apart of this process in order to develop systems to provide a degree of autonomy to people with handicap linked to an amputation of the hand, and the muscles of the forearm are still functional. This paper is about the design of a prototype myoelectric clamp, which can grasp and hold a wide range of usual objects. So the system is activated by EMG stimulations and relays on force and slip feedback to achieve the grasping task. In this work we show the feasibility of a low cost and efficient clamp that can maintain objects by avoiding accidental falls or damages caused by unregulated force applied over the grasped item.
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Benchabane, S.I., Saadia, N. (2015). Achievement of a Myoelectric Clamp Provided by an Optical Shifting Control for Upper Limb Amputations. In: Tan, Y., Shi, Y., Buarque, F., Gelbukh, A., Das, S., Engelbrecht, A. (eds) Advances in Swarm and Computational Intelligence. ICSI 2015. Lecture Notes in Computer Science(), vol 9141. Springer, Cham. https://doi.org/10.1007/978-3-319-20472-7_20
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DOI: https://doi.org/10.1007/978-3-319-20472-7_20
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