网络化款式设计系统的研究

指出了开发网络化的服装款式设计系统的重要性。进行了基于网络结构的系统总体框架设计,建立了基于Oracle平台的多层部件数据库,通过HTTP方式进行远程数据的获取,实现了服装款式的网络化设计。对服装CAD的进一步研究及应用推广具有重要意义。     

基于体域网的穿戴式全景射控系统

基于超宽带体域网以及多视点视频编码技术,设计了一个面向穿戴式应用的全景视频监控系统,其中着重研究了全景视频采集、编码与传输的关键技术.在穿戴式全景监控系统中,体域网节点的处理能力、电池能量及通信带宽等资源均相当有限,而该系统对于全景视频的重构质量又提出了较高的要求.因此,针对全景视频的采集、编码与传输,根据H.264/...     

BLE Mesh组网的可穿戴设备低功耗研究

针对目前可穿戴式设备功耗高的问题,本文进行了基于BLE Mesh组网的可穿戴设备低功耗的研究.以可穿戴单兵冲击波损伤测评系统为例,设计了一款基于Mesh组网的单兵冲击波损伤测评系统,该系统在原有系统的基础上增加了一个蓝牙组网.由于可穿戴设备采用纽扣电池供电,为了保证该系统的功耗不能有大幅度的增加,本文采用泛洪算法和低功...     

Fully Convolutional Graph Neural Networks for Parametric Virtual Try-On

We present a learning-based approach for virtual try-on applications based on a fully convolutional graph neural network. In contrast to existing data-driven models, which are trained for a specific garment or mesh topology, our fully convolutional model can cope with a large family of garments, represented as parametric predefined 2D panels with arbitrary mesh topology, including long dresses, shirts, and tight tops. Under the hood, our novel geometric deep learning approach learns to drape 3D garments by decoupling the three different sources of deformations that condition the fit of clothing: garment type, target body shape, and material. Specifically, we first learn a regressor that predicts the 3D drape of the input parametric garment when worn by a mean body shape. Then, after a mesh topology optimization step where we generate a sufficient level of detail for the input garment type, we further deform the mesh to reproduce deformations caused by the target body shape. Finally, we predict fine-scale details such as wrinkles that depend mostly on the garment material. We qualitatively and quantitatively demonstrate that our fully convolutional approach outperforms existing methods in terms of generalization capabilities and memory requirements, and therefore it opens the door to more general learning-based models for virtual try-on applications.     

Wearing the playware

In this conceptual paper, we describe and define the range of possible applications, and the technical contours, of a robotic system to be worn on the body for playful interactions. Earlier work on a modular robotic wearable (MRW) described how, by using modular robotics to create a wearable, it is possible to obtain a flexible wearable processing system where freely interchangeable input/output modules can be positioned on a body suit in accordance with the task at hand. Here, we guide attention toward early prototypes to show the potentialities of such an approach, and focus on depicting possible applications in the electronic games domain. Indeed, the MRW is an example of modular playware which can create playful interactions for many application domains, including electronic games.     

Automatic pose-independent 3D garment fitting

Given a virtual garment model on a reference human model, we propose an automated 3D garment fitting system that fits the garment model to a target human model. The proposed method can transfer garment models between human models without any user guidance even when the reference and target human models have different poses. Our goal is not to resize or deform the original garment model according to the target human model but to yield realistic fitting results of the given garment on the target human models. Using pose-independent segmentation and cloth simulation, we achieve realistic and automatic fitting results in reasonable running time. Our method can replace the time-consuming manual fitting process that is necessary for many applications that use virtual garments, such as games, animations, CAD tools and online clothing stores.     

两阶段可调节感知蒸馏网络的虚拟试衣方法

基于图像的虚拟试衣能将目标服装图像合成到人物图像上,此任务近年来因其在电子商务和时装图像编辑上广泛应用而备受关注.针对该任务的特点和已有方法的缺陷,提出一种两阶段可调节感知蒸馏方法(TS-APD).该方法包括3个步骤:①分别对服装图像和人物图像预训练2个语义分割网络,生成更准确的服装前景分割和上衣分割;②利用这2个语义...     

Ubiquitous interaction with positioning and navigation using a novel light sensor-based information transmission system

This paper describes a novel light sensor-based information transmission system for indoor positioning and navigation with particular benefits for mobile and wearable computers. It can seamlessly extend outdoor GPS tracking to the indoor environment. In a novel manner, fluorescent light is used as the medium to transmit information, which is encoded by using a pulse-frequency modulation technique. The user receives the encoded light information through a photo-receiver. The information is passed into the wearable or mobile computer after the data is decoded. This information allows positioning information to be given to indoor mobile and wearable computers. We design an economical transmitter circuit by adding few components to a commercial electronic ballast circuit for fluorescent lamps with price of less than US $10. The propose system can be used in indoor guidance and navigation applications. Exemplary applications are included in the paper, with experimented results detailed.     

一种基于UWB穿戴式网络的调度算法

可穿戴式计算机是近几年的一个研究热点,穿戴式网络多个节点之间的协调通信一直是影响穿戴式计算机发展的一个重要原因,因此有必要对穿戴式网络通信进行优化。文中介绍了可穿戴式计算机以及穿戴式网络。论述了穿戴式网络中常用的几种网络技术的优缺点。然后重点解析了UWB（Ultra—WideBand）的结构模型,以及UWB通信机制,在UWB通信机制的基础上引入了动态调度的思想,由此引出具有优先级的动态UWB网络调度算法。此调度算法能够很好地协调穿戴式网络节点之前的通信,有利于推进可穿戴式计算机的发展。     

Next-generation wearable networks

Increased research in microelectronics, wireless communications, and human-computer interaction, particularly augmented-reality applications, has made a symbiotic system technically feasible. Wearable computing, or wearware, focuses on making this technology useful in everyday life, particularly for integrating contextual data with the Internet to automate mundane tasks. The availability of portable, energy-efficient computing devices that can be easily integrated with clothing has renewed interest in the possibilities of wearware. The notion of a wearable network of interactive devices aiding users in their day-to-day activities is extremely appealing, but for it to become a reality researchers must develop interesting and useful applications. Consumers are not interested in the technology per se but in how it could enrich their lives.     

基于主动干电极传感器的无线可穿戴脑电采集系统

为了减少脑电信号(EEG)采集系统的复杂性、实验前长时间繁琐的准备过程,以及改善采集系统的抗干扰性、可穿戴性和舒适性,设计了一种带有8通道主动干电极传感器的无线可穿戴脑电采集系统,具有24位ADC,109 dB信噪比,±500 mV/10 Hz的交流输入范围.实验结果表明:该系统和商业系统记录的脑电图波形之间的相关系数为0.89,增加了可穿戴无线采集系统的可靠性,改善穿戴的舒适性.采用该系统可实现脑电的静态记录和基于稳态视觉诱发(SSVEP)的脑-机接口(BCI)应用.     

Wearable computers: Information tool for the twentyfirst century

The wearable computer is a portable computer that is actually worn on the user's body. Ergonomics is therefore a vital feature of its design. Since humans naturally communicate with voice, a wearable computer also responds to the voice. Wearable computers and global wireless networks make it possible to bring exciting capabilities to the individual. Until recently, wearable computer development has been restricted to academic and military laboratories. Now, technological advances and reduced cost have ignited investor excitement about wearable computers. Wearable system applications in manufacturing, logistics, medicine, training, quality control, communications and even entertainment are now becoming widespread. The earliest development of wearable computers occurred in the 1960s. All of the elements of the modern wearable computer were in place in the Eudaemons system for predicting outcome on a roulette wheel. Since then, wearable computer development has paralleled advances in microprocessor technology. After addressing the important distinction between wearable and mobile computers, this paper will look at wearable computers as an information tool for industry. A short history of wearable computers will trace development from the early single application attempts to today's feature-rich systems. A discussion on current and anticipated applications is then followed by an overview of important related technologies. Finally, the paper will assess how wearable computers could impact twentyfirst century industry and society.     

Electrostatic power harvesting for material computing

We describe a novel wearable energy-harvesting system based on the phenomenon of contact electrification: when two materials are brought into contact and then separated, they are often found to be charged. By patterning circuits out of textiles with specific electronic properties, we can collect and channel these transferred charges to power-harvesting circuitry. As a demonstration of this principle, we have designed and built a garment to display the wearer’s ongoing level of physical activity by powering strings of LEDs using only the energy generated in the garment’s motion. Finally, the methods we describe are not limited to textiles but are applicable to material computing in general.     

可穿戴式跌倒检测智能系统设计

为提高对老年人跌倒检测的正确率,设计一种可穿戴式跌倒检测系统.研制基于三轴加速度计的跌倒检测设备,给出系统硬件和软件的实现方案;提出基于反向传播(BP)神经网络的跌倒检测算法,将训练好的网络参数植入研制的可穿戴式跌倒检测设备,实现对跌倒的实时检测.实验结果表明:所研制的跌倒检测智能系统能够有效地区分跌倒与非跌倒,正确率达97.37％.     

一种基于无线传感器网络的导游信息系统

在无线传感器网络体系结构基础上,以可穿戴计算机为移动节点并结合智能节点,提出了一种新型的导游信息系统。阐述了该信息系统的体系结构;设计并实现了符合系统需求的可穿戴计算机和智能节点;介绍了一种新型导游信息系统的软件架构,分析了其中的重要层次,并编写了相应的应用软件;设计并实现了一种校园旅游应用。     

Improving the efficiency and reliability of wearable based mobile eHealth applications

In this paper we address the support of wearable mHealth applications in LTE and future 5G networks following a holistic approach that spans across the elements of a mobile network. The communication requirements change from one application to another so we propose a measurement methodology to facilitate the selection of the user equipment to fulfil these requirements. We also discuss a new network architecture to support traffic prioritization, RAN programmability, low latency and group communications to over-the-top applications. Our proposal is validated using several realistic experimentation platforms and the results show that mHealth systems can benefit from our approach.     

基于可变形卷积的服装检索方法

传统的服装检索方法使用固定形状的感受野,当服装目标存在几何变形时无法有效地提取其特征。针对这个问题,提出基于可变形卷积和相似性学习的服装检索方法。首先,构建可变形卷积网络,自动学习服装特征的采样位置和服装图像的哈希编码;然后,级联相似性学习网络,度量哈希编码的相似性;最后,根据相似性评分产生检索结果。实验结果表明,该方法能够有效地提取存在几何变形的服装目标的特征,从而减少了图像背景特征的干扰,提高了检索模型的准确率。     

智能可穿戴式医疗设备在医疗数据信息安全中的应用

针对智能可穿戴式医疗设备在医疗数据信息安全中的应用进行研究,分别分析了其在生物密钥、量子密钥、异构网络密钥中的应用。在生物密钥中应用智能可穿戴医疗设备可以实现通信中的双方认证,抵抗已知攻击;在量子密钥中应用智能可穿戴医疗设备可以对传输的信息进行数次加密处理,能够在理论层面上保障其信息的安全性;在异构网络密钥中应用智能可穿戴医疗设备可以有效的增强网络规模和运行效率。通过实验验证智能可穿戴式医疗设备在医疗数据信息安全中的应用效果,结果表明,加入可穿戴医疗设备后,医疗数据信息输出端的稳定信号越多充分的表示该装置抗干扰能力越强,对于数据的保护能力越高,能够有效保障信息安全     

The wearARM modular, low-power computing core

The wearARM computing core for wearable applications uses highly miniaturized, mechanically flexible electronic packaging technology. Used with the MIThril platform, the system supports high-performance, low-power, user configurable wearable computing with wireless connectivity and local mass storage     

基于可穿戴计算的车间作业辅助应用研究

将可穿戴计算技术引入制造业设备维护应用领域,设计可穿戴作业辅助应用系统。首先结合无线传感、穿戴传感等构建车间模拟实验环境,设计可穿戴计算机系统原型;进而针对环境信息实体的上下文特征,结合领域知识本体、模糊决策树等方法,建立了一种新的上下文驱动的可穿戴作业辅助应用构建模式;最后给出了应用实例及分析。