Exploration of lower limb body schema integration with respect to body-proximal robotics

Tim Schürmann, Philipp Overath, O. Christ, J. Vogt, P. Beckerle
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引用次数: 4

Abstract

The integration of body-proximal robots into the body schema of their users is a crucial aspect for the acceptance of those artificial devices. Humans integrate information about such systems from visual, tactile, and proprioceptive perception. For the design of novel, human-oriented robotics, it is important to understand how this integration can be supported by the technical design of the robot. In this paper, first experiments aiming at the assessment of lower limb body schema integration during postural motions are performed. A robot is used to imitate the squatting movements of human subjects. In contrast to a previous implementation, human motion sensing is improved for real-time operation by using inertial measurement units. A first human-in-the-loop experiment indicates that this approach resolves limitations caused by delays of the previous RGB-D measurements. The integration into the body schema of the participants is assessed by means of a psychometric questionnaire. Experimental results regarding body schema integration suggest that for body-proximal robotics noticeably detached from human subjects, agency is the most stable of body schema variables and that to induce a sense of ownership and location, more feedback channels to the subjects might be required.
基于身体-近端机器人的下肢身体图式整合研究
将身体近端机器人融入其用户的身体图式是接受这些人工设备的关键方面。人类从视觉、触觉和本体感知中整合有关这些系统的信息。对于设计新颖的、以人为本的机器人来说,理解机器人的技术设计如何支持这种集成是很重要的。本文首次进行了体位运动中下肢躯体图式整合的实验研究。机器人被用来模仿人类受试者的下蹲动作。与以前的实现相比,人体运动传感通过使用惯性测量单元改进了实时操作。第一个人在环实验表明,这种方法解决了以前RGB-D测量延迟造成的限制。通过心理测量问卷对被试的身体图式整合进行评估。关于身体图式整合的实验结果表明,对于明显脱离人类受试者的身体-近端机器人,代理是最稳定的身体图式变量,并且为了诱导所有权和位置感,可能需要更多的反馈渠道给受试者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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