This competition lies on the fall classification problem, and it aims to classify eleven human activities (i.e. five types of falls and six simple daily activities) using the joint information from different wearables, ambient sensors and video recordings, stored in a given dataset. After five ...
Recently, our research group released a public multimodal dataset for fall detection called the UP-Fall Detection dataset, and studies on modality approaches for fall detection and classification are required. Focusing only on a vision-based approach, in this paper, we present a fall detection ...
Fall detection in multi-camera surveillance videos: experimentations and observations We collected a choreographed multi-camera dataset that contains fall actions and other actions such as walking, standing up, sitting down and so forth. ... S Wang,Z Xu,Y Yang,... - Acm International Workshop...
This finding is consistent with the diagnostic feature detection theory (Wixted & Mickes,2014) according to which discriminability is better when individuals rely on more diagnostic features than when they rely on less diagnostic features that are shared by all of the lineup members. This theory w...
Participants can compete as individual or team. During the training phase, the training dataset will be exposed (nine subjects and labeled data) and participants can explore different strategies for classification of the falls/activities. After that, during the testing phase, the testing dataset will...
dataset-sts:语义文本相似度数据集集线器 NMT-Keras:利用球面进行神经机器翻译 Headline Generator:利用循环神经网络独立生成新闻标题的实现 Deep Learning With Python:一本很不错的学习 Python的书籍,书本代码是基于 Keras的,GitHub上已获:star:8k+,代码地址。推荐等级::heart::heart::heart:! Keras Ocr:Keras作者Fr...
Hong D, Zhang B, Li H et al (2023) Cross-city matters: a multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks. Remote Sens Environ 299:113856 Article Zengjing C, Wang Lu, Chengzhi X (2023) Efficient dynamic channel ...
dataset (RNA sequencing (n = 307), microarray (n = 558) and mass spectrometry (n = 174)). Significant coefficients are labelled *p < 0.05. TIMER dataset analysis of relationship between DAB2 (log2transcripts per million (TPM)) andBtumor cell purity,CM1 macrophages andDM2...
[PASCAL3D+] Beyond PASCAL: A Benchmark for 3D Object Detection in the Wild. [3D MNIST] The aim of this dataset is to provide a simple way to get started with 3D computer vision problems such as 3D shape recognition. [WAD] [ApolloScape] The datasets are provided by Baidu Inc. [nuScene...
"Since one chemical group from the fingermark residue has been targeted, others can be targeted as well, thus multiplying the chances of detecting previously undetectable fingermarks." More information:'Nanoparticles for fingermark detection: an insight into the reaction mechanism' Sebastien Moret et ...