虚拟避障策略:在与虚拟和物理元素互动的同时,通过复杂的环境进行导航
Fabiana Machado1, Matheus Loureiro2, Marcio Bezerra2
1Graduate Program in Informatics, Federal University of Espírito Santo, Vitória 29075-910, ES, Brazil.
Sensors (Basel, Switzerland)
|October 16, 2024
概括
本研究介绍了一种混合现实 (MR) 智能步行器,用于步行康复,增强用户参与度和安全性. 直观的界面元素很容易理解,提高了导航和培训的有效性.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人与计算机的交互
- 康复工程 康复工程
背景情况:
- 机器人步行设备对于密集步行康复至关重要.
- 混合现实 (MR) 可以提高参与治疗练习的参与度.
- 需要共享控制策略,以便在移动辅助器件中实现直观的人机交互.
研究的目的:
- 为智能步行者引入基于MR的多式联动人机交互策略.
- 通过个性化的虚拟场景来增强安全导航和直观的移动训练.
- 评估MR接口的有效性和自我解释性.
主要方法:
- 开发一个集虚拟和物理传感器的MR系统.
- 实施多式联通交互策略,根据上下文进行导航调整.
- 进行一项实验,四个小组评估任务绩效,自我评估和观察数据.
主要成果:
- 参与者报告说他们喜欢MR系统,并且在没有事先解释的情况下理解了大多数接口元素.
- 接口元素,包括方向箭头,障碍物指示器和激活区域,在很大程度上是直观的.
- 在最初的会议中与界面互动的志愿者表现出更好的理解能力.
结论:
- 拟议的基于MR的多式联动战略有效地提高了机器人步行康复中的参与度和安全性.
- 开发的界面元素在很大程度上是自我解释,促进直观的使用.
- 未来的工作重点是将虚拟元素与物理环境集成在一起,并完善全面障碍管理的控制策略.
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