REU Site: Undergraduate Research Experiences in Machine Learning, Analytics, and Augmented Reality for Smart and Connected Health

REU 网站：智能互联健康机器学习、分析和增强现实方面的本科生研究经验

• 批准号: 2150135
• 负责人: Damian Valles Molina
• 金额: $ 34.4万
• 依托单位: Texas State University - San Marcos
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-01-15 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2150135&HistoricalAwards=false
• 关键词: REU; Site; Undergraduate; Research; Experiences

This project aims to facilitate the inclusion of undergraduates in research targeting the emerging areas of smart and connected health and computer engineering. Undergraduate students will design and develop concepts and applications that integrate artificial intelligence (AI) and data-driven techniques to advance the national health, prosperity, and welfare. The REU site provides a unique opportunity for undergraduates to engage with a diverse research program that includes working with persons with disabilities such as autism spectrum disorder (ASD) and multiple sclerosis (MS) and planning for smart city fire-related responses. Some of the research projects address the behavior and hygiene of children with ASD using new engineering data and cyber visual techniques. Integrating technology such as biosensors, virtual reality, and machine learning are crucial for developing reliable and sensitive assessment tools for people with MS and increasing confidence in the results. Smart city firefighting provides a unique learning experience for undergraduates in monitoring temperatures while developing autonomous data collection methods to highlight areas of concern for safety officials. Moreover, many research topics are not covered under traditional undergraduate curricula and will help prepare a new generation of professionals.This REU site seeks to expose undergraduate students to research in the emerging fields of smart and connected communities and smart and connected health. The undergraduate students will design and develop concepts, systems, and applications that target smart-health and smart-community engineering problems. The intellectual theme of this project ranges from designing an ecological assessment to applying machine learning (ML), data analytics, and augmented reality (AR) as new paradigms to analyze and discover new aspects of health-related applications. Each summer, the REU site will provide a diverse group of undergraduate students, many from underrepresented groups, opportunities to directly participate in research activities to develop disciplinary knowledge, research abilities, and team skills. The focus of the REU site is to enable students to perform research in three main areas: 1) intelligent emotion recognition and cyber training for children with autism spectrum disorder (ASD); 2) cognitive and body posture control for persons with disabilities; and 3) smart-city fire response. The REU research projects will advance the state of the art in ecological assessment utilizing ML computational models, AR visualization, and data analysis and will be performed by the undergraduate students to serve their communities. Eight weeks of in-depth summer research will increase undergraduate students’ retention, improve their career perspectives, engage them to participate in the next frontier of data-driven research, and motivate them to enter graduate STEM-Health programs.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.

该项目旨在促进本科生参与针对智能和互联健康和计算机工程新兴领域的研究。本科生将设计和开发集成人工智能（AI）和数据驱动技术的概念和应用程序，以促进国民健康。 REU 网站为本科生提供了参与多元化研究项目的独特机会，其中包括与自闭症谱系障碍 (ASD) 和多发性硬化症 (MS) 等残疾人相关的工作以及智慧城市消防规划。一些研究项目解决了这种行为。使用新的工程数据和网络视觉技术来评估自闭症谱系障碍儿童的卫生状况，对于为多发性硬化症患者开发可靠且灵敏的评估工具以及增强对智慧城市消防结果的信心至关重要。为本科生提供监测温度的独特学习体验，同时开发自主数据收集方法，以突出安全官员关注的领域。此外，许多研究主题未涵盖在传统本科课程中，将有助于培养新一代专业人员。该 REU 网站。旨在让本科生接触本科生将在智能互联社区和智能互联健康等新兴领域进行研究，设计和开发针对智能健康和智能社区工程问题的概念、系统和应用程序。每年夏天，REU 网站都会为不同的本科生群体提供应用机器学习 (ML)、数据分析和增强现实 (AR) 作为新范例来分析和发现健康相关应用新方面的生态评估。许多人来自代表性不足的群体，有机会直接参与REU 网站的重点是让学生能够在三个主要领域进行研究活动：1）针对自闭症谱系障碍（ASD）儿童的智能情绪识别和网络培训； 2) 残疾人的认知和身体姿势控制；3) REU 研究项目将利用 ML 计算模型、AR 可视化和数据分析推进最先进的生态评估。由本科生为他们的社区服务八周。深入的夏季研究将提高本科生的保留率，改善他们的职业前景，让他们参与数据驱动研究的下一个前沿领域，并激励他们进入研究生 STEM 健康项目。该奖项反映了 NSF 的法定使命和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，该项目被认为值得支持。

项目成果

Data Collection and Real-Time Facial Emotion Recognition in iOS Apps with CNN-Based Models

使用基于 CNN 的模型在 iOS 应用程序中进行数据收集和实时面部情绪识别

• DOI: 10.1109/aiiot58121.2023.10174520
• 发表时间: 2023-06
• 期刊: IEEE
• 作者: Valles, Damian;Umali, Lois Adrianne;Paveglio, Thomas;Brinson, Josiah N.;Hyder, Mohammed;Jackson, Gavin E.;Hall, Dylan;Farrell, John W.;Li, Yumeng;Aslan, Semih;et al
• 通讯作者: et al