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SCH:INT:Collaborative Research: Aging In Place Through Enhanced Mobility and Social Connectedness-An Integrated Robot and Wearable Sensor Approach

SCH:INT：合作研究：通过增强移动性和社交联系进行就地老龄化——一种集成机器人和可穿戴传感器方法

基本信息

批准号：
1838725
负责人：
Ashwini Rao
金额：
$ 27.2万
依托单位：
Columbia University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-01-15 至 2024-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1838725&HistoricalAwards=false
关键词：
SCH INT Collaborative Research Aging

项目摘要

The concept of "aging in place", using advanced technology to improve the health and well-being of older adults at home, has become popular as away to reduce costs and allow older adults the dignity of living their final years in the community. This project will use an integrated autonomous system that consists of a mobile robot and smart insole sensors to assist older adults to independently live in their own homes and interact with their communities. The system will have two initial goals: supporting exercise and enhancing social connections. The target exercise is walking, the most preferred and accessible exercise modality among older adults. Regular walking exercises may result in enhanced balance, increased muscle strength, and reduced risk of falling. The system guides individuals in regular walking exercises, autonomously assesses gait states, and provides real-time personalized feedback to engage older adults into the exercise. The robot will also be used to connect older adults with family and friends through a virtual connection. The project team will evaluate the system at a senior center in New York City using objective and subjective performance criteria measuring older adults' experiences with the system. This project serves the national interest because the integrated social assistive robot and wearable sensor system enhances mobility and social connectedness of older adults thus should improve their health and well-being. The project will involve an educational component that provides engineering and research method training to graduate and undergraduate students, as well as STEM outreach to middle and high-school students. Additional efforts will be made to attract and retain women and underrepresented minorities into careers in science and engineering.This research investigates human-robot-sensor interaction, and aims to enhance mobility and social connectedness of older adults through the use of an assistive service robot. Methods to be developed include autonomous gait analysis combining sensing capability of robot onboard image sensors and the smart insoles through parametric and learning-based calibration models. The use of inverse reinforcement learning to explore cost function representation for robot motion planning. The use of dynamic recurrent neural networks and vibrotactile rhythmic stimuli for collaborative human-robot walking tasks. The project also examines the use of autonomous task scheduling to increase social contacts through telepresence robotic techniques. Finally, the implementation and experimental testing of the integrated system will be conducted in a senior center using objective and subjective performance criteria. The project fills a gap in aging-in-place research by providing an integrated robot and wearable sensor solution for enhancement of mobility and social connectedness. The developed methods will be implemented on open-source platforms, and the experimental and evaluation data will be made available for public use.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.

“就地老龄化”的概念，利用先进技术来改善家中老年人的健康和福祉，已经变得流行起来，以降低成本，并让老年人有尊严地在社区度过最后的岁月。该项目将使用一个由移动机器人和智能鞋垫传感器组成的集成自主系统来帮助老年人独立生活在自己的家中并与他们的社区互动。该系统将有两个初步目标：支持锻炼和加强社会联系。目标运动是步行，这是老年人最喜欢和最容易获得的运动方式。经常步行锻炼可能会增强平衡，增加肌肉力量，降低摔倒的风险。该系统指导个人进行定期步行锻炼，自主评估步态状态，并提供实时个性化反馈，让老年人参与锻炼。该机器人还将被用来通过虚拟连接将老年人与家人和朋友联系起来。该项目团队将在纽约市的一个老年中心使用该系统，使用客观和主观的性能标准来衡量老年人使用该系统的经验。这个项目符合国家利益，因为集成的社交辅助机器人和可穿戴传感器系统提高了老年人的机动性和社会连通性，因此应该会改善他们的健康和福祉。该项目将包括为研究生和本科生提供工程和研究方法培训的教育部分，以及面向初中生和高中生的STEM外联活动。将做出更多努力来吸引和留住女性和代表性不足的少数族裔进入科学和工程领域。这项研究调查了人-机器人-传感器的交互作用，旨在通过使用辅助服务机器人来增强老年人的流动性和社会联系。待开发的方法包括自主步态分析，结合机器人机载图像传感器的感知能力和智能鞋垫，通过参数和基于学习的校准模型。利用逆强化学习探索机器人运动规划的代价函数表示方法。使用动态递归神经网络和振动触觉节奏刺激进行人-机器人协作行走任务。该项目还研究了使用自主任务调度来通过远程呈现机器人技术增加社交联系。最后，综合系统的实施和实验测试将在高级中心进行，使用客观和主观的性能标准。该项目通过提供集成的机器人和可穿戴传感器解决方案来增强移动性和社会连接性，填补了就地老龄化研究的空白。开发的方法将在开源平台上实施，实验和评估数据将供公众使用。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（9）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Wearable Sensor Technology to Measure Physical Activity (PA) in the Elderly

DOI：
10.1007/s13670-019-0275-3
发表时间：
2019-03-01
期刊：
CURRENT GERIATRICS REPORTS
影响因子：
1.2
作者：
Rao, Ashwini K.
通讯作者：
Rao, Ashwini K.

Wearable Biofeedback System to Induce Desired Walking Speed in Overground Gait Training

DOI：
10.3390/s20144002
发表时间：
2020-07-01
期刊：
SENSORS
影响因子：
3.9
作者：
Zhang, Huanghe;Yin, Yefei;Zanotto, Damiano
通讯作者：
Zanotto, Damiano

Reinforcement Learning-Based Adaptive Biofeedback Engine for Overground Walking Speed Training

DOI：
10.1109/lra.2022.3187616
发表时间：
2022-07-01
期刊：
IEEE ROBOTICS AND AUTOMATION LETTERS
影响因子：
5.2
作者：
Zhang, Huanghe;Li, Shuai;Zanotto, Damiano
通讯作者：
Zanotto, Damiano

Analysis of gait synchrony and balance in neurodevelopmental disorders using computer vision techniques

DOI：
10.1177/14604582211055650
发表时间：
2021-10-01
期刊：
HEALTH INFORMATICS JOURNAL
影响因子：
3
作者：
Ardalan, Adel;Yamane, Natasha;Goldman, Sylvie
通讯作者：
Goldman, Sylvie

Gait monitoring for older adults during guided walking: An integrated assistive robot and wearable sensor approach

引导步行期间老年人的步态监测：集成辅助机器人和可穿戴传感器方法

DOI：
10.1017/wtc.2022.23
发表时间：
2022
期刊：
Wearable Technologies
影响因子：
0
作者：
Zhao, Qingya;Chen, Zhuo;Landis, Corey D.;Lytle, Ashley;Rao, Ashwini K.;Zanotto, Damiano;Guo, Yi
通讯作者：
Guo, Yi