SBIR Phase II: High Data Rate Biometric Monitoring

SBIR 第二阶段：高数据速率生物识别监测

• 批准号: 2139404
• 负责人: Ilayda Samilgil
• 金额: $ 99.24万
• 依托单位: ORGANIC ROBOTICS CORPORATION
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-12-01 至 2024-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2139404&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Data; Rate

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project is to advance new pressure sensors for wearables. In car seats these sensors can help determine occupancy or measure driver attentiveness. These sensors can also be used to enable a sense of touch in robotic platforms, thereby improving automated decision-making processes. In the virtual and augmented reality sector, this system can measure force and pressure information to improve the training and learning outcomes across a range of industries, including sport, medical and military training applications. In the healthcare and wellness market, the proposed sensors would provide biometric data on high speed motions and ground reaction forces, as well as respiration and muscle fatigue information for improved outcomes. This Small Business Innovation Research (SBIR) Phase II project focuses on advancing stretchable photonic sensors in the wearables industry. These elastomeric sensors are lightguides that change power output upon stretching, with the change in power output proportional to the amount of strain applied. The power output from the sensors can be calibrated towards biometric metric outputs such as high speed kinematics (joint angle velocities) and muscle fatigue (volume changes due to inflammation). Due to the soft, stretchable and thin nature of these lightguides, they can easily be integrated into garments without affecting their mechanical properties, and thereby be essentially unnoticeable to the wearer. Currently, these sensors can gather data at rates two orders of magnitude faster than the closest competitive technology. This project will focus on further increasing the data acquisition speeds and hardware testing.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.

该小企业创新研究 (SBIR) 第二阶段项目的更广泛影响/商业潜力是开发用于可穿戴设备的新型压力传感器。 在汽车座椅中，这些传感器可以帮助确定占用情况或测量驾驶员的注意力。这些传感器还可用于在机器人平台中实现触觉，从而改善自动化决策过程。在虚拟和增强现实领域，该系统可以测量力和压力信息，以改善一系列行业的培训和学习成果，包括体育、医疗和军事培训应用。在医疗保健和健康市场，拟议的传感器将提供有关高速运动和地面反作用力的生物识别数据，以及呼吸和肌肉疲劳信息，以改善结果。 这个小型企业创新研究 (SBIR) 第二阶段项目的重点是在可穿戴设备行业中推进可拉伸光子传感器。这些弹性传感器是光导，可在拉伸时改变功率输出，功率输出的变化与所施加的应变量成正比。传感器的功率输出可以针对生物统计输出进行校准，例如高速运动学（关节角速度）和肌肉疲劳（由于炎症导致的体积变化）。由于这些光导具有柔软、可拉伸和薄的特性，它们可以很容易地集成到服装中，而不会影响其机械性能，因此佩戴者基本上不会注意到。目前，这些传感器收集数据的速度比最接近的竞争技术快两个数量级。该项目将侧重于进一步提高数据采集速度和硬件测试。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。