Kinetic Skin: Feasibility and Implementation of Bare Skin Tracking of Hand and Body Joints for 3D User Interfaces

机译：运动皮肤：3D用户界面的裸手跟踪和身体关节的可行性和实现

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《IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops》|2020年|35-39|共5页
会议地点 Atlanta(US)
作者
Amy Banić; Erik Horwitz; Clement Zheng;
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作者单位

University of Wyoming Interactive Realities Lab Laramie WY;

ATLAS Institute University of Colorado Boulder CO;

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关键词
Skin; Kinetic theory; Wrist; Ink; Sensors; Resistors; Three-dimensional displays;

机译：皮肤;动力学理论;腕;墨水;传感器;电阻;三维显示器;

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专利

1. New Generation User Interface based on Hand Tracking in 3D Space [J] . P. Serafinavicius, S. Sajauskas Electronics and Electrical Engineering . 2010,第3a99期

机译：基于3D空间中手部跟踪的新一代用户界面
2. A cohort study on the risk of lymphoma and skin cancer in users of topical tacrolimus, pimecrolimus, and corticosteroids (Joint European Longitudinal Lymphoma and Skin Cancer Evaluation – JOELLE study) [J] . Jordi Castellsague, Josephina G Kuiper, Anton Potteg?rd, Clinical Epidemiology . 2018,第1期

机译：一项针对他克莫司，吡美莫司和皮质类固醇激素使用者的淋巴瘤和皮肤癌风险的队列研究（联合欧洲纵向淋巴瘤和皮肤癌评估– JOELLE研究）
3. 3D skin length deformation of lower body during knee joint flexion for the practical application of functional sportswear [J] . Choi Jiyoung, Hong Kyunghi Applied Ergonomics . 2015,第Null期

机译：功能性运动服的实际应用中，下半身在膝关节屈曲过程中的3D皮肤长度变形
4. 3D hand tracking by rapid stochastic gradient descent using a skinning model [C] . Bray, M., Koller-Meier, . 2004

机译：使用蒙皮模型通过快速随机梯度下降进行3D手跟踪
5. Bare-hand tracking based on the new DAD object tracking method. [D] . Youssef, Khalid. 2010

机译：基于新的DAD对象跟踪方法的裸手跟踪。
6. A cohort study on the risk of lymphoma and skin cancer in users of topical tacrolimus pimecrolimus and corticosteroids (Joint European Longitudinal Lymphoma and Skin Cancer Evaluation – JOELLE study) [O] . Jordi Castellsague, Josephina G Kuiper, Anton Pottegård, 2018

机译：一项针对他克莫司吡美莫司和皮质类固醇激素使用者的淋巴瘤和皮肤癌风险的队列研究（联合欧洲纵向淋巴瘤和皮肤癌评估– JOELLE研究）
7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

机译：摘要的各个身体部位或器官可被分析以识别在人体内的不同的疾病。指甲分析来识别人体疾病的方法之一。指甲是身体一部分是离心脏最远，因此在最后接受氧气。作为结果，指甲是第一谁表现出人体疾病的症状。指甲可以容易地捕获用于诊断和没有重装或需要使用指甲图像用于疾病诊断，比如在其他测试和扫描过程没有特定的条件。人的指甲提供有关投诉或取决于它们的形状，纹理和色彩在人体内的任何营养失衡有益的信息。在人类中，许多全身性皮肤疾病是可以很容易地通过两个四肢指甲的仔细检查分析。很多指甲病已发现众多潜在系统性疾病的主要症状。在指甲的颜色，质地和形状的变化是许多疾病主要影响指甲的迹象。考虑到所有的指甲的这些性能的系统被提出，用于识别人指甲这样的变化以获得更精确的结果，并毫不费力预测许多疾病用途的数字图像处理（DIP）方法。随着物联网（IOT）的概念，新兴的互联网将生成的报告提供远程，这将帮助用户降低运输工作。由于系统必须处理大量的私人数据，数据的安全性必须得到保证。为了保持数据的机密性，使用Blockchain的概念，它是在数据管理领域的大多数新兴的概念之一。本文包含了数字图像处理的指甲图像，IOT（ThingSpeak云）的使用为数据存储和执行Blockchain的特征提取的执行，以保持固定的系统和盗窃免费。关键词：诠释薄GS（IOT），图像的ERNET PROC essin克，薄型gSpeak，RG乙vavalues，平均数PI XEL vavalues，阵营kchain，哈希密钥。疾病诊断系统：在人类指甲异常

Kinetic Skin: Feasibility and Implementation of Bare Skin Tracking of Hand and Body Joints for 3D User Interfaces

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