Suppr超能文献

双模触觉反馈可提高虚拟肌电控制夹具的灵巧任务执行能力。

Dual-Modality Haptic Feedback Improves Dexterous Task Execution With Virtual EMG-Controlled Gripper.

出版信息

IEEE Trans Haptics. 2023 Oct-Dec;16(4):816-825. doi: 10.1109/TOH.2023.3328256. Epub 2023 Dec 21.

Abstract

Individuals with upper-extremity limb difference who use myoelectric prostheses currently lack the haptic sensory information needed to perform dexterous activities of daily living. While considerable research has focused on restoring this haptic information, these approaches often rely on single-modality feedback schemes which are necessary but insufficient for the feedforward and feedback control strategies employed by the central nervous system. Multi-modality feedback approaches have been gaining attention in several application domains, however, the utility for myoelectric prosthesis use remains unclear. In this study, we investigated the utility of dual-modality haptic feedback in a virtual EMG-controlled grasp-and-hold task with a brittle object and variable load force. We recruited N = 20 participants without limb difference to perform the task in four conditions: no feedback, vibration feedback of incipient slip, squeezing feedback of grip force, and dual (vibration + squeezing) feedback of incipient slip and grip force. Results suggest that receiving any haptic feedback is better than receiving none, however, dual-modality feedback is far superior to either single-modality feedback approach in terms of preventing the object from breaking or dropping. Control with dual-modality feedback was also seen as more intuitive than with either of the single-modality feedback approaches.

摘要

上肢肢体差异的个体使用肌电假体目前缺乏执行日常灵巧活动所需的触觉感知信息。虽然已经有大量研究集中在恢复这种触觉信息上,但这些方法通常依赖于单一模式的反馈方案,这些方案对于中枢神经系统使用的前馈和反馈控制策略是必要的,但还不够充分。多模态反馈方法在几个应用领域受到关注,然而,对于肌电假体的使用仍然不清楚。在这项研究中,我们研究了双模态触觉反馈在虚拟肌电控制抓取和保持脆性物体和可变负载力任务中的效用。我们招募了 20 名无肢体差异的参与者在四种条件下完成任务:无反馈、初始滑动的振动反馈、握力的挤压反馈以及初始滑动和握力的双(振动+挤压)反馈。结果表明,接收任何触觉反馈都比没有反馈要好,但双模态反馈在防止物体破裂或掉落方面远远优于任何单一模态反馈方法。与任何单一模式的反馈方法相比,使用双模态反馈进行控制也被认为更直观。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验