SBIR Phase I: Brave Virtual Worlds Human Movement Artificial Intelligence (AI) Engine and Biofeedback Loop

SBIR 第一阶段：勇敢的虚拟世界人体运动人工智能 (AI) 引擎和生物反馈循环

• 批准号: 2326586
• 负责人: William Kodama
• 金额: $ 27.39万
• 依托单位: BRAVE VIRTUAL WORLDS, INC.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2326586&HistoricalAwards=false
• 关键词: SBIR; Phase; Brave; Virtual; Worlds

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project aims to develop a biofeedback system that combines wearable sensors, real-time data capture, and immersive virtual reality visualization. This system has the potential to enhance the understanding of joint angles and movement patterns enabling in-depth analysis of human movement. The proposed technology targets a significant market opportunity in the athletic training and physical therapy industry, which is valued at $200 million. This SBIR Phase I project addresses intellectual merit through a systematic research approach. The project involves designing and refining the biofeedback system, conducting extensive data collection, and implementing advanced algorithms for real-time analysis. The project's goals include developing a user-friendly interface, optimizing sensor accuracy, and creating a seamless biofeedback system for improved training and rehabilitation. Anticipated technical results include the design and development of a machine learning layer to classify and identify key components of movements in order to create a contextual database for further analysis to determine movement efficiency and highlight movement patterns as well as the development of a corrective exercise/feedback layer using the context from the machine learning layer to generate further insights into what is causing highlighted movement patterns This second later will incorporate corrective exercises that are suggested for improvement. Additionally, a real-time layer incorporating the first two layers into the real-time portion will be used for immediate feedback to the end-user, thus providing a closed bio-feedback loop.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这项小型企业创新研究（SBIR）I阶段项目的更广泛的影响/商业潜力旨在开发一种结合可穿戴传感器，实时数据捕获和沉浸式虚拟现实可视化的生物反馈系统。该系统有可能增强对关节角度和运动模式的理解，从而深入分析人类运动。拟议的技术针对体育培训和物理治疗行业的大量市场机会，价值2亿美元。这个SBIR I期项目通过系统的研究方法解决了知识分子的功绩。该项目涉及设计和完善生物反馈系统，进行大量数据收集以及实施高级算法以实时分析。该项目的目标包括开发一个用户友好的界面，优化传感器的准确性以及创建无缝的生物反馈系统，以改善培训和康复。预期的技术结果包括机器学习层的设计和开发，以对运动的上下文数据库进行分类和确定关键组成部分，以进一步分析以确定运动效率并突出运动效率，并突出移动模式以及使用机器学习层中的上下文的上下文开发纠正式锻炼/反馈层，以使进一步的洞察力促进五个练习的进一步启动，从而使校正效果进行校正，从而使校正效果进行校正。此外，将前两层纳入实时部分的实时层将用于立即向最终用户反馈，从而提供了封闭的Bio-Feedback循环。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的评估审查审查标准来通过评估来通过评估来获得支持的。