SCC-IRG Track 2: Transportation Gaps and Disability-Related Unemployment: Smarter Cities and Wearables combating Commuting Challenges for the Visually Impaired

SCC-IRG 第 2 轨道：交通缺口和与残疾相关的失业：智慧城市和可穿戴设备应对视障人士的通勤挑战

• 批准号: 1952180
• 负责人: John Ross Rizzo
• 金额: $ 149.9万
• 依托单位: New York University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1952180&HistoricalAwards=false
• 关键词: SCC; IRG; Track; Transportation; Gaps

The pathologic link between vision loss and physical inactivity has confounded doctors, scientists, engineers, and patients for centuries. Mobility losses are extremely variable and not only tied to significant compromises in quality of life, but also to an abysmal unemployment rate. One massive employment barrier related to mobility loss in urban areas is the ongoing struggle to utilize public transportation during daily commuting. While technological advances in data science and artificial intelligence continue to rapidly spawn new digital tools and electronic solutions, many of these new devices are incomplete answers that leave end users cognitively overwhelmed between device switching and task completion. This project will support foundational research needed to study low-vision behavior and develop more powerful wearables that can handle data-intensive processing, enabling parallel functionality. The project will afford VIS4ION, a revolutionary wearable platform that uses backpack-mounted sensors, advanced machine vision, wireless communications, and human-machine interfaces, the ability to perform ‘connected’ dynamic localization and navigation assistance for the visually impaired in complex urban environments. The project will lead to a healthier low vision population with more gainful employment, a framework for behavioral investigation in disability studies, guidelines for the design and delivery of navigation-focused wearables, students who are well-versed in multi-disciplinary and disability-focused research, and a blueprint for a smart and connected community that enhances economic vitality, safety, security, health and wellbeing, and overall quality of life.This research will respond to the commuting challenges that stymie employment by creating new connections between visually impaired residents and their surrounding environment through innovations in science and engineering. The project envisions fundamental research in novel behavioral studies, optimized data streams, enhanced power management, and city-agency cooperation to fill a number of knowledge gaps, including (1) lack of a scientifically-principled, experimentally-based understanding of users’ needs and behavioral patterns, (2) limited ability to interpret real-world scenes through computer vision algorithms and excessive computational burden, (3) incomplete understanding of technical methods to balance local versus cloud analytics and manage power effectively, and (4) lack of hypothesis-driven studies with ecological validity that could scale-up to solve commuting challenges. A convergent research plan will fill these gaps and contribute key advancements in computer vision, machine learning, video compression, wireless transmission, human factors, and spatial positioning. By quantifying user needs regarding transportation and subsequently enhancing the safety profile of visually impaired travelers, gainful employment will improve, with secondary impacts on reducing health and economic burden.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.

几个世纪以来，视力丧失和缺乏身体活动之间的病理联系一直困扰着医生、科学家、工程师和患者。行动能力的丧失变化很大，不仅与生活质量的显着下降有关，而且还与严重的失业率有关。与城市地区流动性丧失相关的障碍是在日常通勤期间持续努力利用公共交通虽然数据科学和人工智能的技术进步继续迅速催生新的数字工具和电子解决方案，但其中许多新设备都是不完整的答案。最终用户在设备之间认知不知所措该项目将支持研究低视力行为所需的基础研究，并开发能够处理数据密集型处理的更强大的可穿戴设备，从而实现并行功能。该项目将提供 VIS4ION，这是一种使用背包式安装的革命性可穿戴平台。传感器、先进的机器视觉、无线通信和人机界面，能够在复杂的城市环境中为视障人士提供“互联”动态定位和导航帮助，该项目将为低视力人群带来更健康的就业机会。 ，一个框架残疾研究中的行为调查、以导航为重点的可穿戴设备的设计和交付指南、精通多学科和以残疾为重点的研究的学生，以及增强经济活力、安全性的智能互联社区的蓝图，该研究将通过科学和工程创新在视障居民与其周围环境之间建立新的联系，以应对阻碍就业的通勤挑战。该项目设想对新颖行为进行基础研究。研究、优化数据流、加强电力管理和城市机构合作，以填补一些知识空白，包括（1）缺乏对用户需求和行为模式的科学原理、基于实验的理解，（2）解释现实世界的能力有限通过计算机视觉算法和过多的计算负担，（3）对平衡本地与云分析和有效管理电力的技术方法不完全理解，以及（4）缺乏具有生态有效性的假设驱动研究，可以扩大规模以解决通勤问题融合研究计划将解决这些挑战。通过量化用户对交通的需求并随后提高视障旅行者的安全状况，将改善有酬就业，并产生次要影响。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。

项目成果

Millimeter Wave Channel Modeling via Generative Neural Networks

通过生成神经网络进行毫米波信道建模

• DOI: 10.1109/gcwkshps50303.2020.9367420
• 发表时间: 2020-12
• 期刊: IEEE Globecom
• 作者: Xia, William;Rangan, Sundeep;Mezzavilla, Marco;Lozano, Angel;Geraci, Giovanni;Semkin, Vasilii;Loianno, Giuseppe
• 通讯作者: Loianno, Giuseppe

Wide-Aperture MIMO via Reflection off a Smooth Surface

通过光滑表面的反射实现大孔径 MIMO

• DOI: 10.1109/twc.2022.3232742
• 发表时间: 2022-01
• 期刊: IEEE Transactions on Wireless Communications
• 影响因子: 10.4
• 作者: Pizzo, Andrea;Lozano, Angel;Rangan, Sundeep;Marzetta, Thomas L.
• 通讯作者: Marzetta, Thomas L.

Guest Editorial Millimeter-Wave Networking

客座社论毫米波网络

• DOI: 10.1109/jsac.2019.2947996
• 发表时间: 2019-12
• 期刊: IEEE Journal on Selected Areas in Communications
• 影响因子: 16.4
• 作者: Fischione, Carlo;Koutsonikolas, Dimitrios;Rangan, Sundeep;Simic, Ljiljana;Widmer, Joerg;Zhang, Xinyu;Zhou, Anfu
• 通讯作者: Zhou, Anfu

135GHz CMOS / LTCC MIMO Receiver Array Tile Modules

135GHz CMOS / LTCC MIMO 接收器阵列块模块

• DOI: 10.1109/bcicts50416.2021.9682493
• 发表时间: 2021-12
• 期刊: 10.1109/BCICTS50416.2021.9682493
• 作者: Farid, Ali A.;Ahmed, A. S.;Dhananjay, A;Skrimponis, Panagiotis;Rangan, Sundeep;Rodwell, Mark
• 通讯作者: Rodwell, Mark

Macro-Fiber Composite-Based Tactors for Haptic Applications

• DOI: 10.1109/toh.2023.3308789
• 发表时间: 2023-07-01
• 期刊: IEEE Transactions on Haptics
• 影响因子: 2.9
• 作者: A. Boldini;J. Rizzo;M. Porfiri
• 通讯作者: M. Porfiri