Distance Filtering System for Retinal Implants

视网膜植入物距离过滤系统

基本信息

项目摘要

 DESCRIPTION (provided by applicant): We propose to develop and evaluate the utility of a novel input camera system for retinal prosthetics that allows users to filter optical imagery based on distance from the observer. We call this "depth filtering", which can be accomplished with a depth sensing stereoscopic camera system. Retinal prostheses can restore partial vision to people blinded by outer retinal degenerative diseases such as Retinitis Pigmentosa (RP) or Macular Degeneration. The Argus II Retinal Prosthesis System is intended to provide electrical stimulation of the retina to elicit visual perception in blind individuals with (near) total visionloss due to retinitis pigmentosa. The implanted epiretinal array provides a 10 x 6 grid of electrodes. Electrical pulses at these 60 pixel sites stimulate the retina's remaining cells and result in the perception of patterns of light. The current spatial resolution is only 60 total pixels, but the camera systems that provide image information to the prosthesis user transmit full-resolution video information. Information in the imagery consists of all visible items within the field of vie ranging for example from nearby obstacles to far away mountain scenery. The lack of perceived spatial resolution makes it extremely difficult for prosthesis users to differentiate between important nearby elements within the scene and relatively unimportant distant elements of the scenery, or vice versa. An image capture and processing system is proposed that selectively removes elements in a viewed scene that are outside a user-set depth range. We hypothesize that system utility in important tasks such as people or object finding and mobility will be less burden some, and performance improved, by providing only relevant visual information to the wearer. The proposed project seeks to develop and experiment with distance-filtered optical imagery as an input modality to retinal implants. Two prototype systems will be specified, designed, built and evaluated in Argus II patients: In phase 1 of the proposed project the image processing will be performed by a computer external to the Argus II system. In phase 2, a more powerful version of the next-generation Argus II video processing unit, capable of performing the image processing, will be utilized. This will be coupled with a new dual camera eyeglass assembly, making the phase 2 prototype fully integrated and ready for commercialization in the next generation Argus II system, and possibly in other visual prosthesis systems and head-mounted electronic low vision aids.


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(1)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Gislin Dagnelie其他文献

Gislin Dagnelie的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Gislin Dagnelie', 18)}}的其他基金

Distance Filtering System for Retinal Implants
视网膜植入物距离过滤系统
  • 批准号:
    9133384
  • 财政年份:
    2015
  • 资助金额:
    $ 29.63万
  • 项目类别:
Develop and Validate a Prosthetic Low Vision Rehabilitation (PLoVR) Curriculum
开发并验证假肢低视力康复 (PLoVR) 课程
  • 批准号:
    8209150
  • 财政年份:
    2011
  • 资助金额:
    $ 29.63万
  • 项目类别:
Develop and Validate a Prosthetic Low Vision Rehabilitation (PLoVR) Curriculum
开发并验证假肢低视力康复 (PLoVR) 课程
  • 批准号:
    8435523
  • 财政年份:
    2011
  • 资助金额:
    $ 29.63万
  • 项目类别:
Develop and Validate a Prosthetic Low Vision Rehabilitation (PLoVR) Curriculum
开发并验证假肢低视力康复 (PLoVR) 课程
  • 批准号:
    8812848
  • 财政年份:
    2011
  • 资助金额:
    $ 29.63万
  • 项目类别:
Develop and Validate a Prosthetic Low Vision Rehabilitation (PLoVR) Curriculum
开发并验证假肢低视力康复 (PLoVR) 课程
  • 批准号:
    8334708
  • 财政年份:
    2011
  • 资助金额:
    $ 29.63万
  • 项目类别:
Survey and Test Platform for Use in Underserved Populations
用于服务不足人群的调查和测试平台
  • 批准号:
    8201880
  • 财政年份:
    2011
  • 资助金额:
    $ 29.63万
  • 项目类别:
Survey and Test Platform for Use in Underserved Populations
用于服务不足人群的调查和测试平台
  • 批准号:
    8327703
  • 财政年份:
    2011
  • 资助金额:
    $ 29.63万
  • 项目类别:
Develop and Validate a Prosthetic Low Vision Rehabilitation (PLoVR) Curriculum
开发并验证假肢低视力康复 (PLoVR) 课程
  • 批准号:
    8714236
  • 财政年份:
    2011
  • 资助金额:
    $ 29.63万
  • 项目类别:
Develop and Validate a Prosthetic Low Vision Rehabilitation (PLoVR) Curriculum
开发并验证假肢低视力康复 (PLoVR) 课程
  • 批准号:
    8601700
  • 财政年份:
    2011
  • 资助金额:
    $ 29.63万
  • 项目类别:
Develop and Validate a Prosthetic Low Vision Rehabilitation (PLoVR) Curriculum
开发并验证假肢低视力康复 (PLoVR) 课程
  • 批准号:
    8024133
  • 财政年份:
    2011
  • 资助金额:
    $ 29.63万
  • 项目类别:

相似海外基金

DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
  • 批准号:
    EP/Y029089/1
  • 财政年份:
    2024
  • 资助金额:
    $ 29.63万
  • 项目类别:
    Research Grant
CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
  • 批准号:
    2337776
  • 财政年份:
    2024
  • 资助金额:
    $ 29.63万
  • 项目类别:
    Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
  • 批准号:
    2338816
  • 财政年份:
    2024
  • 资助金额:
    $ 29.63万
  • 项目类别:
    Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
  • 批准号:
    2338846
  • 财政年份:
    2024
  • 资助金额:
    $ 29.63万
  • 项目类别:
    Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
  • 批准号:
    2348261
  • 财政年份:
    2024
  • 资助金额:
    $ 29.63万
  • 项目类别:
    Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
  • 批准号:
    2348346
  • 财政年份:
    2024
  • 资助金额:
    $ 29.63万
  • 项目类别:
    Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
  • 批准号:
    2348457
  • 财政年份:
    2024
  • 资助金额:
    $ 29.63万
  • 项目类别:
    Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
  • 批准号:
    2404989
  • 财政年份:
    2024
  • 资助金额:
    $ 29.63万
  • 项目类别:
    Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
  • 批准号:
    2339310
  • 财政年份:
    2024
  • 资助金额:
    $ 29.63万
  • 项目类别:
    Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
  • 批准号:
    2339669
  • 财政年份:
    2024
  • 资助金额:
    $ 29.63万
  • 项目类别:
    Continuing Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了