基于端点分布建模的捕获算法,用于干扰多目标
Xiangliang Zhang1, Junlin Li2, Pengjie Li2
1The State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China.
Sensors (Basel, Switzerland)
|January 8, 2025
概括
物理指针相互作用的新模型提高了目标选择精度. 拟议的算法提高了手持设备和无人机控制系统的精度,克服了当前方法的局限性.
科学领域:
- 人与计算机的交互
- 机器人和控制系统 机器人和控制系统
背景情况:
- 在物理空间中指向交互缺乏虚拟反,依赖于用户的感知.
- 现有的物理指针目标分布模型稀疏且简单.
研究的目的:
- 提出物理指点相互作用中目标分布的新理论模型.
- 开发和验证区域分区算法,以提高指向精度.
主要方法:
- 引入了单个目标指向终点分布模型 (ST-PEDM) 和多个目标指向终点分布模型 (MT-PEDM).
- 开发了基本区域分区算法 (BRPA) 和增强的区域分区算法 (ERPA).
- 对15名参与者进行了实验,以验证模型和算法.
主要成果:
- 拟议的分布模型准确地描述了目标区域.
- ERPA算法显著提高了指针精度,在200厘米处达到84.11%,在300厘米处达到82.74%.
- 在确定用户意图方面,BRPA和ERPA算法表现出高精度和效率.
结论:
- 开发的模型和算法为物理指点交互提供了强大的解决方案.
- 这项技术在手持设备和无人机群控制中具有潜在的应用.
- 改进的指针精度有助于在复杂的场景中快速捕获目标和规划轨迹.
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