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I-Corps Team Proposal "Mini Signal"

I-Corps Team Proposal "Mini Signal"
I军团团队提案“迷你信号”
批准号:
1848835
负责人:
Min Wu
金额:
$5.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-15 至 2019-09-30

项目摘要

项目成果

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中文摘要
翻译
I-Corps项目更广泛的影响/商业潜力在于三个方面:通过系统的客户发现过程,它增强了研发界对非接触式生理监测潜在广泛需求和应用空间的理解。对于I-Corps项目所基于的强大的心率跟踪技术,潜在的商业影响包括监控驾驶员的状况以提高驾驶安全,支持安全有效的运动/健身训练,为公共安全提供额外的监控视频分析等等。I-Corps客户发现的结果将为新一轮的研发提供现实世界的需求和数据,并增强研发社区的科学和技术理解。I-Corps的培训和经验将使团队做好准备,以确定并为最有效的客户技术商业化道路铺平道路,这将带来经济和社会影响。培训还将为技术领导和联合领导提供宝贵的见解,他们作为教职员工可能会将精益创业和创业思维融入他们未来的教育和指导活动中。这将在未来几年惠及许多学生。这个I-Corps项目建立在非接触式传感的研究进展之上,比如通过视频,捕捉一个人的面部非常小的颜色变化,因为他/她的心脏将血液泵到全身。该团队已经开发了强大的专业知识,可以在许多场景和激励应用中收集这种微信号。从I-Corps项目所基于的正在申请专利的研究来看,即使在用户移动和光照条件变化的重大运动下,也能实现准确的心率检测和跟踪,这在现实世界中很常见。包括图像/视频处理、计算机视觉、统计信号处理和估计在内的多个传统独立领域的协同作用,为解决研发挑战奠定了基础。从I-Corps项目中学到的方法在健康分析这一重要的新兴领域中充当了微信号分析理论与实践之间的桥梁。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The broader impact/commercial potential of this I-Corps project lies in three aspects: through a systematic customer discovery process, it enhances the R&D community's understanding of the potentially broad needs and application spaces of the contact-less physiological monitoring. For the robust heart-rate tracking technologies that this I-Corps project is based on, the potential commercial impact includes monitoring drivers' conditions to enhance driving safety, supporting safe and effective athletic/fitness training, offering additional analytics from surveillance video for public safety, and more. The outcome of the I-Corps customer discovery will provide real-world requirements and data to a new round of R&D and enhance the R&D community's scientific and technological understanding. The I-Corps training and experience will prepare the Team to identify and pave a way to the most effective customer-technology path for commercialization, which will lead to an economic and societal impact. The training would also provide valuable insights to the Technical Lead and Co-Lead, who as faculty members can potentially incorporate the Lean Startup and entrepreneurial thinking into their future education and mentoring activities. This would extend the benefits to many students in the years to come.This I-Corps project builds on the research advances of contact-free sensings, such as through video, to capture the very small color changes of a person's face as his/her heart pumps blood to reach the whole body. The team has developed a strong expertise to harvest such micro signals under a number of scenarios and motivating applications. From the patent-pending research on which this I-Corps project is based, accurate heart rate detection and tracking have been achieved even under significant motion as users move and lighting conditions change, which is common in real-world use. The synergy of multiple traditionally separate fields, including image/video processing, computer vision, statistical signal processing and estimation, paved a foundation to address the R&D challenges. The methodologies learned from the I-Corps program serve as a bridge between the theory and practice of micro signal analytics in the important emerging area of health analytics.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.
期刊论文(1)
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会议论文
DOI: 10.1109/tifs.2020.3030182
发表时间: 2020-05
期刊: IEEE Transactions on Information Forensics and Security
影响因子: 6.8
作者: [Qiang Zhu;Mingliang Chen;Chau-Wai Wong;Min Wu]
通讯作者: Qiang Zhu;Mingliang Chen;Chau-Wai Wong;Min Wu
Conference: Toward Explainable, Reliable, and Sustainable Machine Learning for Signal and Data Science
CAREER: Probing Multiscale Growth Dynamics in Filamentous Cell Walls
  • 批准号:
    2144372
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $45.0万
  • 财政年份:
    2022
  • 负责人:
    Min Wu
  • 依托单位:
Collaborative Research: Facilitating Supply Chain Trust via Micro-Surface Sensing and Vision-Enabled Authentication
SCH: Explainable Learning of Heart Actions from Pulse to Broaden Cardiovascular Healthcare Access
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