Haptic playback: A new approach to teaching of sensorimotor skills

触觉回放：感觉运动技能教学的新方法

• 批准号: 0600658
• 负责人: Milos Zefran
• 金额: $ 24.5万
• 依托单位: University of Illinois at Chicago
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0600658&HistoricalAwards=false
• 关键词: Haptic; playback; new; approach; teaching

This proposal aims to further the understanding and applications of haptic playback, a paradigm for displaying both position and force data streams to the user, one through a haptic device and the other through a visual display. Both these data streams are crucial for sensorimotor skill acquisition. The PI will conduct user studies to develop a new model of a user during haptic playback to account for spatial tasks and adaptive mechanisms that humans use during haptic interaction. The model will be used to develop provably correct control schemes for implementing haptic playback. Furthermore, metrics will be identified to quantify the success of the training and propose controllers that improve these metrics. The PI will also explore how haptic playback can be used to supplement existing methods for soft tissue simulation by displaying force and position data recorded during interaction with real tissue. The PI will subsequently use these findings to develop a dental simulator for collaborative classroom use and a simulator to teach evaluation of jugular lymph nodes to medical professionals.Haptic playback will have an impact in areas such as rehabilitation, where a patient is trying to learn a sensorimotor skill that has been affected by a disease or an injury, sports training, where an athlete is trying to learn the most efficient motion, or remote surgery, where medical services can be provided to rural communities. The ability to replace costly and complex virtual reality models with pre-recorded data could drastically shorten the time needed to develop such applications.

该建议的目的是进一步的理解和触觉回放的应用，一个范例，用于显示位置和力的数据流给用户，一个通过触觉设备和其他通过视觉显示。这两个数据流是至关重要的感觉运动技能的收购。PI将进行用户研究，以开发触觉回放期间的用户新模型，以解释人类在触觉交互期间使用的空间任务和自适应机制。该模型将用于开发可证明正确的控制方案，实现触觉回放。此外，还将确定指标，以量化培训的成功，并提出改进这些指标的控制器。PI还将探索触觉回放如何通过显示与真实的组织交互期间记录的力和位置数据来补充现有的软组织模拟方法。PI随后将利用这些发现开发用于协作课堂使用的牙科模拟器和用于向医疗专业人员教授颈静脉淋巴结评估的模拟器。触觉回放将在康复等领域产生影响，其中患者试图学习受疾病或受伤影响的感觉运动技能，运动训练，运动员试图学习最有效的运动，或者远程手术，可以向农村社区提供医疗服务。用预先记录的数据取代昂贵且复杂的虚拟现实模型的能力可以大大缩短开发此类应用程序所需的时间。