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CPS:Medium:Quantitative Visual Sensing of Dynamic Behaviors for Home-based Progressive Rehabilitation

CPS:Medium:Quantitative Visual Sensing of Dynamic Behaviors for Home-based Progressive Rehabilitation
CPS:中:基于家庭渐进式康复的动态行为的定量视觉感知
批准号:
1314484
负责人:
Yun Fu
金额:
$101.14万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-08-29 至 2016-11-30

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中文摘要
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英文摘要
The objective of this research is to develop a comprehensive theoretical and experimental cyber-physical framework to enable intelligent human-environment interaction capabilities by a synergistic combination of computer vision and robotics. Specifically, the approach is applied to examine individualized remote rehabilitation with an intelligent, articulated, and adjustable lower limb orthotic brace to manage Knee Osteoarthritis, where a visual-sensing/dynamical-systems perspective is adopted to: (1) track and record patient/device interactions with internet-enabled commercial-off-the-shelf computer-vision-devices; (2) abstract the interactions into parametric and composable low-dimensional manifold representations; (3) link to quantitative biomechanical assessment of the individual patients; (4) facilitate development of individualized user models and exercise regimen; and (5) aid the progressive parametric refinement of exercises and adjustment of bracing devices. This research and its results will enable us to understand underlying human neuro-musculo-skeletal and locomotion principles by merging notions of quantitative data acquisition, and lower-order modeling coupled with individualized feedback. Beyond efficient representation, the quantitative visual models offer the potential to capture fundamental underlying physical, physiological, and behavioral mechanisms grounded on biomechanical assessments, and thereby afford insights into the generative hypotheses of human actions.Knee osteoarthritis is an important public health issue, because of high costs associated with treatments. The ability to leverage a quantitative paradigm, both in terms of diagnosis and prescription, to improve mobility and reduce pain in patients would be a significant benefit. Moreover, the home-based rehabilitation setting offers not only immense flexibility, but also access to a significantly greater portion of the patient population. The project is also integrated with extensive educational and outreach activities to serve a variety of communities.
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I-Corps: Multi-Cue Facial Restoration (McFAR) for Recognition and Identification
  • 批准号:
    2224289
  • 项目类别:
    Standard Grant
  • 资助金额:
    $5.0万
  • 财政年份:
    2022
  • 负责人:
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  • 依托单位:
I-Corps: Facial image analysis system
  • 批准号:
    1635174
  • 项目类别:
    Standard Grant
  • 资助金额:
    $5.0万
  • 财政年份:
    2016
  • 负责人:
    Yun Fu
  • 依托单位:
EAGER: Vision-Based Activity Forecasting by Mining Temporal Causalities
  • 批准号:
    1651902
  • 项目类别:
    Standard Grant
  • 资助金额:
    $18.0万
  • 财政年份:
    2016
  • 负责人:
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  • 依托单位:
CPS:Medium:Quantitative Visual Sensing of Dynamic Behaviors for Home-based Progressive Rehabilitation
  • 批准号:
    1135660
  • 项目类别:
    Standard Grant
  • 资助金额:
    $120.0万
  • 财政年份:
    2011
  • 负责人:
    Yun Fu
  • 依托单位:
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