VIS4ION-Thailand (Visually Impaired Smart Service System for Spatial Intelligence and Onboard Navigation) - Resub - 1

VIS4ION-泰国（视障空间智能和车载导航智能服务系统）- Resub - 1

基本信息

批准号：
10903051
负责人：
John Ross Rizzo
金额：
$ 28.87万
依托单位：
NEW YORK UNIVERSITY SCHOOL OF MEDICINE
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-09-30 至 2026-07-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10903051
关键词：
3-Dimensional 3D world Access to Information Address Adverse event Anxiety Area Benchmarking Blindness Cells Cities Cognition Complex Computer Vision Systems Computer software Country Cues Data Databases Dimensions Disparate Ecology Economic Burden Elements Employment Enhancement Technology Ensure Environment Feedback Focus Groups Foundations Fracture Freedom Fright Health Health Promotion Home Ranges Image Immobilization Income Individual Infrastructure Intelligence Intervention Length Location Maps Mechanics Mental Depression Modeling Outcome Participant Performance Personal Satisfaction Personal Space Phase Physical activity Population Positioning Attribute Premature Mortality Process Quality of life Research Research Personnel Resource-limited setting Resources Risk Semantics Services Signal Transduction Students Subgroup System Techniques Technology Testing Thailand Time Travel Unemployment Universities Visual Visual impairment Visually Impaired Persons Visually Impaired Students citizen science cohort college cost digital twin disability effectiveness evaluation effectiveness testing experience falls fear of falling functional assistance functional improvement higher education human-in-the-loop improved improved mobility improved outcome innovation knowledge base long bone low and middle-income countries next generation novel novel strategies patient oriented process evaluation psychosocial reconstruction satisfaction sensor socioeconomics urban area usability way finding wearable device wireless fidelity

项目摘要

PROJECT SUMMARY/ABSTRACT Visual impairment engenders mobility losses, debility, illness and premature mortality. These mobility losses have been associated with unemployment rates that reach 80% globally and to severe compromises in quality of life (QoL). In many cases, health and wellbeing are ‘attacked’ by vision loss in any form factor and psychosocial barriers such as anxiety and depression are compounding influences that increase as deficits scale. The fear of falling is a threat that contributes to this downward ‘spiral’ and often goes unchecked; this fear is alarmingly justified, as visual impairment precipitates substantial increases in mechanical trips, falls and long-bone factures. This perfect storm leaves considerable swaths of the population poor, disenfranchised, and experiencing adverse health outcomes. These startling facts, although true in almost every high-income country, are even more severe in low- and middle-income countries, such as Thailand. When considered at a basic functional level, visual impairment destroys access to information about our three-dimensional world and the objects in it, leading to poor spatial cognition and an inability to navigate successfully, whether that be to a place of employment or a grocery store. Advanced wearables provide a potential solution to close this gap and provide consistent and reliable access to the information needed for mobility and orientation during navigation. Our team was instrumental in developing a novel wearable - VIS4ION (Visually Impaired Smart Service System for Spatial Intelligence and Onboard Navigation), a personal mobility solution that serves as a customizable, human-in-the- loop, sensing-to-feedback platform to deliver functional assistance in real-time. Our central hypothesis is that wearables support spatial cognition in visually impaired (VI) populations, augmenting personal freedom and agency, and promoting health and wellbeing. We seek to enhance this technology with next-generation mapping and localization software fashioned into a microservice to support spatial cognition in the VI. We will assess the performance of this new approach (e.g., mapping) as well as its impact on function (e.g., navigation efficiency), health (e.g., falls), and wellness (e.g., QoL) metrics. The proposal has five aims in two phases focused on validating this approach in a global setting. First, we will implement semantic segmentation and image-query- based localization networks in a small Thai campus to operate independently of both environmental (sensor- based) and Wi-Fi/cell infrastructure. We will then deploy this augmented platform with VI students. Third, we will assess for acceptability, appropriateness, and feasibility, focusing on experiences with VIS4ION. If milestones are met for this first phase (R21), we will progress to the second phase (R33). Fourth, we will test the effectiveness of the improved system over an extended-use period. Lastly, an additional urban area in Bangkok will be selected and 3D environmental map built for generalizability testing, ensuring that VIS4ION is able to handle multiple locations with disparate contextual elements. Given this foundation and planned advances, we predict the platform will substantially mitigate fall and immobility risks and associated adverse health outcomes.

项目概要/摘要视力障碍会导致行动不便、虚弱、疾病和过早死亡。全球失业率高达 80%，质量严重下降在许多情况下，健康和福祉会受到任何形式因素和心理社会视力丧失的“攻击”。焦虑和抑郁等障碍会随着赤字的扩大而加剧。跌倒是一种导致这种“螺旋式下降”的威胁，而且这种恐惧常常得不到遏制，令人震惊；这是合理的，因为视力障碍会导致机械行程、跌倒和长骨骨折的大幅增加。这场完美的风暴导致大量人口陷入贫困、被剥夺公民权并经历着这些令人震惊的事实虽然几乎在每个高收入国家都是如此，但甚至也存在不利的健康后果。从基本功能层面考虑时，泰国等低收入和中等收入国家的情况更为严重。视觉障碍破坏了我们对三维世界及其物体的信息的获取，导致空间认知能力差，无法成功导航，无论是去工作地点还是去工作地点先进的可穿戴设备提供了一个潜在的解决方案来缩小这一差距并提供一致和可靠的服务。我们的团队在导航过程中可靠地获取移动和定向所需的信息。有助于开发新型可穿戴设备 - VIS4ION（视觉障碍空间智能服务系统）智能和车载导航），一种个人移动解决方案，可作为可定制的、人性化的我们的中心假设是，实时提供功能帮助的循环感知反馈平台。可穿戴设备支持视障 (VI) 人群的空间认知，增强个人自由和我们寻求通过下一代测绘来增强这项技术。我们将评估将本地化软件打造成微服务以支持 VI 中的空间认知。这种新方法的性能（例如测绘）及其对功能的影响（例如导航效率），该提案有两个阶段的五个目标，重点关注健康（例如跌倒）和健康（例如生活质量）指标。首先，我们将实现语义分割和图像查询。基于泰国小型校园的定位网络，独立于环境（传感器- 然后我们将与 VI 学生一起部署这个增强平台。评估可接受性、适当性和可行性，重点关注 VIS4ION If 里程碑的经验。满足第一阶段（R21）的要求后，我们将进入第二阶段（R33）。第四，我们将测试最后，改进后的系统在长期使用期间的有效性。将被选择并构建 3D 环境地图以进行通用性测试，确保 VIS4ION 能够鉴于此基础和计划的进展，我们可以处理具有不同上下文元素的多个位置。预测该平台将大大减轻跌倒和不动风险以及相关的不良健康后果。