NSF Convergence Accelerator Track H: Phase II Smart Wearables for Expanding Workplace Access for People with Blindness and Low Vision
NSF 融合加速器轨道 H:第二阶段智能可穿戴设备,扩大失明和低视力人士的工作场所使用范围
基本信息
- 批准号:2345139
- 负责人:
- 金额:$ 500万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Cooperative Agreement
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-12-15 至 2026-11-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
There are 285 million people with blindness and low vision (pBLV) worldwide. One dramatic correlate of vision loss is unemployment, with rates as high as 81% in urban environments. Employment disparities stem, in large part, from difficulties with transportation to and from work and wayfinding within the workplace itself. This project takes a fundamental step in addressing the employment challenges of pBLV through a powerful assistive-navigation platform, the Visually Impaired Smart Service System for Spatial Intelligence and Onboard Navigation (VIS4ION). VIS4ION is a discreet, instrumented backpack with an array of miniaturized sensors integrated into straps that connect to an embedded system for computational analysis. Real-time audio and tactile feedback are provided through a binaural bone conduction headset and an optional reconfigured waist strap turned haptic interface. A prototype platform, partly developed through the Phase 1 Convergence Accelerator Grant, provides valuable microservices for pBLV, including real-time navigation, scene understanding, and obstacle avoidance, all of which could transform workplace experiences for pBLV. This translational Phase 2 project broadly seeks to bring the current VIS4ION prototype to a commercial system for impact in real complex workplace environments. The work will leverage new developments in conversational AI, machine vision, networking, and haptics, along with extensive trials with users. To realize the goals for this multi-faceted project, a transdisciplinary team has been assembled that spans technology development, engineering, translational medicine, and business management, supported by partners in private industry (Google, AT&T, and Qualcomm), non-profits for pBLV (Lighthouse Guild and VISIONS), and government agencies for transport and disabilities (MTA, DOT, and NYC office for persons with disabilities).This translational project will be executed in four inter-connected tasks: (1) boosting independent AI-based microservices for smart wearables with a specific focus on a navigation pipeline that supports indoor and outdoor journeys, with zero infrastructural requirements; (b) enhancing coordinated microservices through custom AI ensembles and conversational AI; (c) building network connectivity resilience through unique video rate-adaptation algorithms; and (d) executing extensive system usability testing in transit hubs, hospitals, and workplaces. Beyond the envisioned impact on medicine, science, engineering, and improving the lives of pBLV, this program will foster formal and informal learning opportunities for graduate, undergraduate, medical, and high school students in clinical and fundamental STEM/STEAM research. These training opportunities will foster multi-pronged and multi-disciplinary team approaches critical to the development of innovative solutions for complex real-world problems.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.
全世界有2.85亿人失明和低视力(PBLV)。导致视力丧失的一个重要因素是失业率,在城市环境中,失业率高达81%。就业差距在很大程度上源于上下班的交通困难以及工作场所本身的寻路问题。该项目通过一个强大的辅助导航平台--空间智能和车载导航视障智能服务系统(VIS4ION),在解决pBLV的就业挑战方面迈出了根本的一步。VIS4ION是一个谨慎的仪表化背包,它将一系列微型传感器集成到带子上,这些传感器连接到嵌入式系统进行计算分析。实时音频和触觉反馈通过双耳骨传导耳机和可选的重新配置的腰带转向触觉接口提供。通过第一阶段融合加速器赠款部分开发的原型平台为pBLV提供了有价值的微服务,包括实时导航、场景理解和避障,所有这些都可以改变pBLV的工作场所体验。这个翻译阶段2项目广泛地寻求将当前的VIS4ION原型引入商业系统,以在真实复杂的工作场所环境中产生影响。这项工作将利用对话人工智能、机器视觉、网络和触觉方面的新发展,以及对用户的广泛试验。为了实现这个多方面项目的目标,已经组建了一个跨学科的团队,横跨技术开发、工程、转化医学和企业管理,得到了私营行业(谷歌、AT&;T和高通)、非营利性组织pBLV(灯塔行业和愿景)以及政府交通和残疾人办公室(MTA、DOT和纽约市残疾人办公室)的支持。这个翻译项目将通过四个相互关联的任务来执行:(1)促进用于智能可穿戴设备的基于人工智能的独立微服务,重点是支持室内和室外旅行的导航管道,基础设施要求为零;(B)通过定制人工智能合奏和对话式人工智能加强协调的微服务;(C)通过独特的视频速率自适应算法建立网络连接复原力;以及(D)在交通枢纽、医院和工作场所执行广泛的系统可用性测试。除了对医学、科学、工程和改善pBLV生活的预期影响之外,该计划还将为临床和基础STEM/STEAM研究的研究生、本科生、医学生和高中生提供正式和非正式的学习机会。这些培训机会将培养多管齐下和多学科的团队方法,对开发复杂现实问题的创新解决方案至关重要。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势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
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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John Ross Rizzo其他文献
Feasibility and Clinician Perspectives of the Visual Symptoms and Signs Screen
视觉症状和体征筛查的可行性和临床医生的观点
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0.5
- 作者:
Pamela Roberts;Jeffrey Wertheimer;Debra Ouellette;K. Hreha;Kelsey Watters;Jaimee Fielder;M. J. Graf;Kathleen Weden;John Ross Rizzo - 通讯作者:
John Ross Rizzo
A Multi-site Feasibility and Validation Study of Visual Signs and Symptoms Screen (V-SASS)
- DOI:
10.1016/j.apmr.2022.08.749 - 发表时间:
2022-12-01 - 期刊:
- 影响因子:
- 作者:
Jeffrey Wertheimer;Pamela Roberts;Kimberly Hreha;Debra Oullette;Jaimee Fielder;Min Jeong Graf;Kelsey Watters;Holly Stants;John Ross Rizzo - 通讯作者:
John Ross Rizzo
John Ross Rizzo的其他文献
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{{ truncateString('John Ross Rizzo', 18)}}的其他基金
NSF Convergence Accelerator Track H: Smart Wearables for Expanding Workplace Access for People with Blindness and Low Vision
NSF 融合加速器轨道 H:智能可穿戴设备,扩大失明和低视力人士的工作场所使用范围
- 批准号:
2236097 - 财政年份:2022
- 资助金额:
$ 500万 - 项目类别:
Standard Grant
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 - 财政年份:2020
- 资助金额:
$ 500万 - 项目类别:
Standard Grant
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