CPS: Synergy: Cyber-Enabled Repetitive Motions in Rehabilitation

CPS：协同：康复中的网络重复运动

• 批准号: 1544702
• 负责人: Hanz Richter
• 金额: $ 79.92万
• 依托单位: Cleveland State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-10-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1544702&HistoricalAwards=false
• 关键词: CPS; Synergy; Cyber; Enabled; Repetitive

The project will produce breakthroughs in the science of human-machine interaction and will produce lasting impacts on exercise machine technologies. The proposed Cyber-Enabled Exercise Machines (CEEMs) adapt to their users, seeking to maximize the effectiveness of exercise while guaranteeing safety. CEEMs measure and process biomechanical variables and generate adjustments to its own resistance, and generate cues to be followed by the exerciser. CEEMs are reconfigurable by software, which permits a wide range of exercises with the same hardware. Two prototype machines will be field-tested with the student-athlete population and used to validate project goals. The prototypes will be a valuable instrument for dissemination and outreach, as well as for student engagement. The outcomes of this research have repercussions beyond athletic conditioning: the same foundations and methodologies can be followed to design machines for rehabilitation, exercise countermeasure devices for astronauts, and custom exercise devices for the elderly and persons with disabilities. Thus, the project has the potential to improve health of society members at various levels. This research will contribute to the foundations of cyber-physical system science in the following aspects: biomechanical modeling and real-time musculoskeletal state estimation; estimation theory and unscented H-infinity estimation; control theory and human-machine interaction dynamics, and micro-evolutionary optimization for real-time systems. The proposed Cyber-Enabled Exercise Machines (CEEMs) are highly reconfigurable devices which adapt to the user in pursuit of an optimization objective, namely maximal activation of target muscle groups. Machine adaptation occurs through port impedance modulation, and optimal cues are generated for the exerciser to follow. The goals of the project are threefold: i) development of foundational cyber-physical science and technology in the field of human-machine systems; ii) development of new approaches to modeling, design, control and optimization of advanced exercise machines, and iii) application of the above results to develop two custom-built CEEMs: a rowing ergometer and a 2-degree-of-freedom resistance machine.

该项目将在人机相互作用的科学方面产生突破，并对运动机技术产生持久的影响。拟议的支持网络锻炼机（CEEMS）适应其用户，试图在确保安全性的同时最大化运动的有效性。 CEEMS测量和处理生物力学变量，并对其自身的阻力进行调整，并产生锻炼者的提示。 CEEMS可以通过软件重新配置，该软件允许使用相同的硬件进行广泛的练习。两台原型机器将对学生运动员进行现场测试，并用于验证项目目标。这些原型将是传播和宣传以及学生参与的宝贵工具。这项研究的结果超出了运动条件之外的影响：可以遵循相同的基础和方法，用于设计机器，用于康复，宇航员的运动对策设备以及针对老年人和残疾人的定制运动设备。因此，该项目有可能改善社会成员在不同层面的健康。 这项研究将在以下方面为网络物理系统科学的基础做出贡献：生物力学建模和实时肌肉骨骼状态估计；估计理论和无气感染估计；控制理论和人机相互作用动力学以及实时系统的微观进化优化。拟议的支持网络锻炼机（CEEMS）是高度可重构的设备，可适应用户以追求优化目标，即目标肌肉群的最大激活。 通过端口阻抗调制进行机器适应性，并生成最佳提示供锻炼者遵循。该项目的目标是三重：i）在人机系统的＆＃64257; eld中发展基础网络物理科学和技术； ii）开发了高级运动机建模，设计，控制和优化的新方法，以及iii）上述结果开发两个定制的CEEMS：划船测量计和一台2度自由的电阻机。