human activity recognitionCSI datasetconvolutional neural networksagitation recognitionfine-grained activity recognitionDEMENTIAAgitation is a commonly found behavioral condition in persons with advanced dementia. It requires continuous monitoring to gain insights into agitation levels to assist caregivers in ...
thus dramatically limiting the advancements in the design of sensing algorithms. The present contribution aims to fill this gap by providing a dataset of IEEE 802.11ac channel measurements over an 80 MHz bandwidth channel featuring notable domain diversity, through measurement campaigns that involved thir...
csi-driver + node-driver-registrar dataset jindo 如上图 因为 csi-driver 和 node-driver-registrar 需要和 kubelet 通信, 所以我们会在 kind node 的容器里面运行他们, 即在容器里面通过go run main.go的方式运行 csi-driver 和 node-driver-registrar 其余组件直接在 Mac 运行, 他们通过 ~/.kube/config 和...
74 -- 16:31 App PowerScale-13-Dell EMC DataIQ Dataset Management Demo 39 -- 13:14 App Getting started with Kubernetes on Dell EMC Storage 424 -- 7:23 App 12-Dell EMC PowerStore - PowerStore Manager 51 -- 12:47 App Dell EMC ECS-05-How we can work together with Ansible and Del...
//SMPCSI DD DSN=dataset1.CSI,DISP=SHR, // SUBSYS=(BLSR,'DDNAME=MYSMPCSI', // 'HBUFND=value','HBUFNI=value') //MYSMPCSI DD DSN=dataset1.CSI,DISP=SHR //* //tgtzone DD DSN=dataset2.CSI,DISP=SHR, // SUBSYS=(BLSR,'DDNAME=MYTGT1', // 'HBUFND=value','HBUFNI=value') /...
The source code and collected dataset are made publicly available for reproducibility and encouraging further research in the community.Previous article in issue Next article in issue Keywords Wi-Fi channel state information human activity recognition machine learning digital signal processing...
be exploited via contrastive learning techniques to learn enhanced representations of the objects.Results: We present a novel method, Contrastive Stratif i cation for Interaction Prediction (CSI), to stratify(partition) a dataset in a manner that can be exploited via Contrastive Multiview Coding (...
The dataset contains EEG data of subjects with four motor imagery tasks: left hand, right hand, foot, and tongue. We used a 3 by 3 CSP algorithm to extract the features, and we used a linear discriminant analysis (LDA) algorithm to classify the features. We compared the performance of ...
当用上面的程序可以正常地打开摄像头后, 为了用CSI摄像头实现目标跟踪, 需要将yolov5/utils/dataset.py文件进行更改, 主要就是将cv2.VideoCapture(0)改为: cap = cv2.VideoCapture("nvarguscamerasrc ! video/x-raw(memory:NVMM), width=1280, height=720, format=(string)NV12, framerate=(fraction)60/1 !
DATASET 为了本研究的目的,创建了一个新的数据集。该数据集包含由KU鲁汶大规模MIMO测试台针对许多用户位置测量的CSI。基站(BS)配有64根天线,可以同时发射或接收。这64根天线用于接收来自每个用户的预定义导频信号。基于这些导频信号来估计CSI。导频音由频率均匀间隔的100个子载波组成。因此,测量的CSI可以由矩阵H表示...