Wearable robotic devices have potential to assist and protect their users. Toward design of a Smart Helmet, this article examines the effectiveness of audio and visual warnings to help participants brace for impacts. A user study examines different warnings and impacts applied to users while running. Perturbation forces scaled to user mass are applied from different directions and user displacement is measured to characterize effectiveness of the warning. This is accomplished using the TreadPort Active Wind Tunnel adapted to deliver forward, rearward, right, or left perturbation forces at precise moments during the locomotor cycle. The article presents an overview of the system and demonstrates the ability to precisely deliver consistent warnings and perturbations during gait. User study results highlight effectiveness of visual and audio warnings to help users brace for impact, resulting in guidelines that will inform future human-robot warning systems.
翻译：在设计智能螺旋桨时,本文章审视了声频和视觉警告的有效性,以帮助参与者防范撞击。用户研究审视了在运行过程中对用户应用的不同警告和影响。根据不同方向,按用户质量大小应用了扰动力,并测量了用户迁移情况,以说明警告的有效性。完成这项工作的办法是使用TreadPort 主动风力隧道,该隧道在叶眼循环的准确时刻进行调整,以便提供前向、后向、右或左侧的扰动力。文章概述了系统,并展示了在游戏期间准确发出一致警告和扰动的能力。用户研究结果突出表明了视觉和声力警告的有效性,以帮助用户防范撞击,从而形成了指导未来人类机器人警报系统的指导方针。
相关内容
微信扫码咨询专知VIP会员