I-Corps: The Smartphone-Based Interactive Fit Detection Mirror
I-Corps: The Smartphone-Based Interactive Fit Detection Mirror
批准号:
2008919
负责人:
Jo Woon Chong
金额:
$5.0万
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:
2020-02-15 至 2022-08-31
中文摘要
这个i-Corps项目的更广泛的影响/商业潜力是开发一种基于智能手机的新型检测技术,以帮助对人体进行物理分析,并应用于医疗、零售或体育部门。目前,与适合度相关的问题主要是通过人工、劳动密集型过程来解决的。我们的创新提供了一种小巧、便携、经济实惠和可持续的解决方案,帮助您及时、经济地找到最合适的产品。这个i-Corps项目将开发一个综合系统来估计医疗和零售应用中的人体形状。这一创新具有传感器技术、图像处理技术和机器学习算法的独特组合,可以将与合身相关的数据与商品信息相结合。该设备使用智能手机摄像头测量受试者的合身程度,使用图像处理技术检测体型,并使用机器学习技术向受试者展示合身的商品。此外,这项创新还整合了受试者的生物医学信息以实现个性化。这一奖项反映了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。
英文摘要
The broader impact/commercial potential of this I-Corps project is in the development of a novel smartphone-based detection technology to assist in physical analysis of the human body, with applications for the medical, retail, or athletic sectors. Currently, fit-related problems are addressed primarily in a manual, labor-intensive process. Our innovation provides a small, portable, affordable, and sustainable solution in finding the optimal fit in a timely and cost-effective manner. This I-Corps project will develop an integrated system to estimate the human body shape for medical and retail applications. This innovation has a unique combination of a sensor technology, image processing techniques, and machine learning algorithms to integrate fit-related data with merchandise information. The proposed device measures a subject’s fit using a smartphone camera, detects the body shape from the measurement using image processing techniques, and presents a subject with the merchandise that fits using machine learning techniques. Moreover, the innovation also integrates a subject’s biomedical information to personalize fit.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.
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