CPS: Small: Performance Monitoring Cyber-Physical System for Emerging Fitness Spaces
CPS: Small: Performance Monitoring Cyber-Physical System for Emerging Fitness Spaces
批准号:
2110193
负责人:
Shubham Jain
金额:
$50.0万
依托单位:
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
项目状态:
已结题
起止时间:
2020-10-01 至 2024-09-30
中文摘要
点击翻译按钮获取中文摘要
英文摘要
The proposed research focuses on harnessing the growing fitness spaces in support of form, performance and injury prevention in exercise, therapy, and rehabilitation. The ability to monitor body dynamics and to provide real-time feedback is instrumental in fitness training and injury prevention. Motivated by the lack of fitness training models that understand the key factors related to human motion in the cyber realm, this project aims to leverage the cyber-physical components of fitness monitoring to track and encourage proper movement during strength training. The proposed framework distills body dynamics into form and performance measures that can assist application developers with the design of novel fitness and movement-based applications. This project will create knowledge that can be ported across the fitness, therapy and rehabilitation domains and will have a broad impact in the health community. For example, the findings of this project can potentially help devise a training regimen for breast cancer and other post-surgery rehabilitation patients.This project includes three key thrusts that aim to bring the advancements in cyber-physical systems to the realm of fitness monitoring. First, exploring and understanding fundamental metrics in biomechanics, which form the foundational tools to measure longitudinal performance changes. Second, developing stochastic models to faithfully capture the dependencies of various attributes during physical motion for analyzing user progress. Third, designing a feedback system that engages the user, leading them to improved form and performance. The core contribution of this research is in monitoring and creating models to understand factors pertaining to users' motion that affect their progress over time. Access to real-time feedback on fine-grained motion will transform the way people perform targeted physical movements, reducing their injury risks and enhancing users' experiences in any fitness environment.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.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Leveraging earables for unvoiced command recognition
利用耳机进行无声命令识别
DOI:
10.1145/3498361.3538665
发表时间:
2022
期刊:
Applications and Services
影响因子:
--
作者:
[Srivastava, Tanmay, Khanna, Prerna, Pan, Shijia, Nguyen, Phuc, Jain, Shubham]
通讯作者:
Jain, Shubham
CAREER: Closed-loop Health Behavior Interventions in Multi-device Environments
-
批准号:2238553
-
项目类别:Continuing Grant
-
资助金额:$55.0万
-
财政年份:2023
-
负责人:Shubham Jain
-
依托单位:
SCC-PG: CrossGuard: Enhancing Pedestrian Experience at Intersections
-
批准号:2106594
-
项目类别:Standard Grant
-
资助金额:$15.0万
-
财政年份:2020
-
负责人:Shubham Jain
-
依托单位:
SCC-PG: CrossGuard: Enhancing Pedestrian Experience at Intersections
-
批准号:1951789
-
项目类别:Standard Grant
-
资助金额:$15.0万
-
财政年份:2020
-
负责人:Shubham Jain
-
依托单位:
CNS Core: Medium: Collaborative: Reality-Aware Networks
-
批准号:2055520
-
项目类别:Continuing Grant
-
资助金额:$19.99万
-
财政年份:2020
-
负责人:Shubham Jain
-
依托单位:
CPS: Small: Performance Monitoring Cyber-Physical System for Emerging Fitness Spaces
-
批准号:1932296
-
项目类别:Standard Grant
-
资助金额:$50.0万
-
财政年份:2019
-
负责人:Shubham Jain
-
依托单位:
CNS Core: Medium: Collaborative: Reality-Aware Networks
-
批准号:1901170
-
项目类别:Continuing Grant
-
资助金额:$19.99万
-
财政年份:2019
-
负责人:Shubham Jain
-
依托单位:
国内基金
海外基金
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