Atzori Manfredo, Gijsberts Arjan, Heynen Simone, Hager Anne-Gabrielle Mittaz, Castellimi Claudio, Caputo Barbara, Müller Henning
Business Information Systems, HES- SO Valais, Sierre, Switzerland.
Stud Health Technol Inform. 2012;180:828-32.
Currently, trans-radial amputees can only perform a few simple movements with prosthetic hands. This is mainly due to low control capabilities and the long training time that is required to learn controlling them with surface electromyography (sEMG). This is in contrast with recent advances in mechatronics, thanks to which mechanical hands have multiple degrees of freedom and in some cases force control. To help improve the situation, we are building the NinaPro (Non-Invasive Adaptive Prosthetics) database, a database of about 50 hand and wrist movements recorded from several healthy and currently very few amputated persons that will help the community to test and improve sEMG-based natural control systems for prosthetic hands. In this paper we describe the experimental experiences and practical aspects related to the data acquisition.
目前，经桡骨截肢者使用假手只能进行一些简单动作。这主要是由于控制能力较低以及使用表面肌电图（sEMG）学习控制假手所需的训练时间较长。这与机电一体化的最新进展形成对比，借助这些进展，机械假手具有多个自由度，在某些情况下还具备力控制功能。为了改善这种情况，我们正在构建NinaPro（非侵入式自适应假肢）数据库，该数据库记录了来自几名健康人和目前数量很少的截肢者的约50种手部和腕部动作，这将有助于该领域测试和改进基于sEMG的假手自然控制系统。在本文中，我们描述了与数据采集相关的实验经验和实际情况。
