[论文笔记] Learning Gestures From WiFi: A Siamese Recurrent Convolutional Architecture

2024-05-19 16:35:18

原文链接：Learning Gestures From WiFi: A Siamese Recurrent Convolutional Architecture | IEEE Journals & Magazine | IEEE Xplore

Methodology [原文图片，侵删]

System Design 上的改进

1）文章利用OpenWrt, 一款 lightweight Linux OS 作为IoT platform 的OS来开发平台，用于收集WiFi CSI的数据，相较于传统的Intel 5300 NIC tool，该平台将subcarriers数目从30拓展到了114 （更多的subcarriers意味着更多的CSI info）

2）文章利用CSI phase data来做gestures learning, 因为认为phase比amplitude更sensitive

Siamese Recurrent Convolutional Network

Model

Inputs: two gesture stream samples

Loss function:

1) Pairwise loss: The pairwise loss guarantees that the distance between the same samples
is restricted within m − b while the margin of samples from different classes exceeds m + b.

2) MMD: 为了使得model具有更好的transferability，可以有效处理来自不同domain的samples，引入multiple kernel variant of maximum mean discrepancies (MK-MMD)。MK-MMD bears the unique property for measuring two distributions of samples from different domains

Total loss：

Algorithm

利用one-shot learning 做gesture recognition

当model已经利用足够的samples训练之后，我们可以在新的环境中为每组gesture(不考虑新的gestures)收集一个或者几个samples并进行label，之后可以通过比较test sample和each class的Euclidean distance进行分类

Experiments & Evaluations

Cons：

1）考虑的gestures classes 较少（6组？）

2）只考虑了新的环境下同样classes的testing，未来可以多考虑一些新的不同的gestures

[论文笔记] Learning Gestures From WiFi: A Siamese Recurrent Convolutional Architecture相关推荐

论文笔记-Learning to Predict Streaming Video QoE: Distortions, rebuffering and memory
info Bampis C G, Bovik A C. Learning to predict streaming video QoE: Distortions, rebuffering and me ...
论文笔记 | Learning Deep Features for Discriminative Localization
作者 Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, Antonio Torralba Bolei Zhou Abstract 受到NI ...
论文笔记 -- Learning Representations for Time Series Clustering
文章目录 Learning Representations for Time Series Clustering Motivation Contribution Model DTCR工作 DTCR流程 ...
论文笔记《Combining Events and Frames Using Recurrent Asynchronous Multimodal Networks for Monocular ...》
最近在学习DVS相关的算法,读到这篇把event和frame结合的论文,找到了他们在github上开源的代码. 然而这个work的开源并不完全,包括这篇work前面的<Learning Mono ...
论文笔记 NAACL 2016|Joint Event Extraction via Recurrent Neural Networks
文章目录 1 简介 1.1 动机 1.2 创新 2 背景知识 3 方法 3.1 编码 3.1.1 句子编码 3.1.2 RNN编码 3.2 预测 3.2.1 触发词预测 3.2.2 论元角色预测 3. ...
论文笔记之---Speed and accuracy trade-offs for modern convolutional object detectors
Abstract 这篇文章主要权衡了三种被称为"元结构"(meta-architectures)的主流detector---Faster R-CNN,R-FCN 和SSD之间的精确 ...
论文笔记之EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
EDVR: Video Restoration with Enhanced Deformable Convolutional Networks 金字塔.级联和可变形卷积的对齐时间空间注意力融合整体 ...
【论文笔记】Question Answering over Freebase with Multi-Column Convolutional Neural Networks
一.概要该文章发于ACL 2015,作者提出了一个基于Freebase,使用multi-column convolutional neural networks(MCCNNs)的自动问答模型,分 ...
图像内复制粘贴篡改取证matlab_[论文笔记] 篡改检测：RGB-N
[论文笔记] Learning Rich Features for Image Manipulation Detection 说在前面个人心得: 第一次关注篡改检测,最常见的篡改方式是拼接.复制移动 ...

最新文章

热门文章