2021 Third International Conference on Transdisciplinary AI (TransAI)最新文献

Curriculum Multi-Stage Reinforcement Learning for Automated Interlinked Production Systems on Virtual Commissioning Simulations 基于虚拟调试仿真的自动化互联生产系统课程多阶段强化学习

2021 Third International Conference on Transdisciplinary AI (TransAI) Pub Date : 2021-09-01 DOI: 10.1109/TransAI51903.2021.00031

Florian Jaensch, Adrian Steidle, A. Verl

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引用次数: 1

How to Design a Trustable Cultural Algorithm Using Common Value Auctions 如何利用共值拍卖设计可信的文化算法

2021 Third International Conference on Transdisciplinary AI (TransAI) Pub Date : 2021-09-01 DOI: 10.1109/TransAI51903.2021.00022

Anas Al-Tirawi, R. Reynolds

引用次数: 0

Predictive Theory of Covid-19 Infections at European Countries Through Bessel Functions: Past and Present 通过贝塞尔函数预测欧洲国家Covid-19感染的理论:过去和现在

2021 Third International Conference on Transdisciplinary AI (TransAI) Pub Date : 2021-09-01 DOI: 10.1109/TransAI51903.2021.00021

H. Nieto-Chaupis

引用次数: 1

FallWatch: A Novel Approach for Through-Wall Fall Detection in Real-Time for the Elderly Using Artificial Intelligence FallWatch:一种基于人工智能的老年人穿墙跌落实时检测新方法

2021 Third International Conference on Transdisciplinary AI (TransAI) Pub Date : 2021-09-01 DOI: 10.1109/TransAI51903.2021.00018

Aditya Chebrolu

{"title":"FallWatch: A Novel Approach for Through-Wall Fall Detection in Real-Time for the Elderly Using Artificial Intelligence","authors":"Aditya Chebrolu","doi":"10.1109/TransAI51903.2021.00018","DOIUrl":"https://doi.org/10.1109/TransAI51903.2021.00018","url":null,"abstract":"Falls are the leading cause of fatal injury in the elderly. Presently available fall-detection devices have many drawbacks including potential blind spots and low lighting, lack of privacy, and the need for the elderly to operate these devices despite cognitive decline. Radio-frequency (RF) imaging presents a promising solution as it is able to traverse through most materials while remaining highly reflective off of humans. FallWatch was designed as an artificial intelligence model to detect falls in real-time in spite of visual obstruction using RF signals while overcoming the drawbacks of RF including low resolution imaging and body-part specularity. Using an RF antenna array, multiple fall and non-fall examples were captured through several mediums of obstruction in cross-person and cross-environment settings. The data obtained was trained on a deep learning model consisting of: 1) Convolutional Neural Network to extract relevant information and capture spatial relationships, 2) Attention Mechanism to allow generalization to new people and environments, and 3) Recurrent Neural Network with Long Short-Term Memory to capture temporal relationships between RF frames. FallWatch was successful in detecting falls not only in through-wall scenarios, but also in cross-person and cross-environment settings while surpassing the performance of other fall detection systems. In conclusion, FallWatch presents a novel end-to-end approach for fall detection in the elderly and enables their monitoring in multiple care settings.","PeriodicalId":426766,"journal":{"name":"2021 Third International Conference on Transdisciplinary AI (TransAI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115979391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Immersive Model of User Trust in Conversational Agents in Virtual Reality 虚拟现实会话代理中沉浸式用户信任模型

2021 Third International Conference on Transdisciplinary AI (TransAI) Pub Date : 2021-09-01 DOI: 10.1109/TransAI51903.2021.00011

Caglar Yildirim

引用次数: 1

Exploring the potential for use of AI to help researchers improve their research funding relevance and performance 探索利用人工智能帮助研究人员提高研究经费相关性和绩效的潜力

2021 Third International Conference on Transdisciplinary AI (TransAI) Pub Date : 2021-09-01 DOI: 10.1109/TransAI51903.2021.00025

Odysseas Spyroglou, Cagri Yildirim, A. Koumpis

引用次数: 0

A Model for Zero-shot Text Multi-labeling Using Semantics-based Labels 基于语义标签的零射击文本多标记模型

2021 Third International Conference on Transdisciplinary AI (TransAI) Pub Date : 2021-09-01 DOI: 10.1109/TransAI51903.2021.00033

Dan Dickinson, Ananth Raj GV, G. Fung

引用次数: 0

BETO Emotion Analysis of Facebook Users Reacting to Major Media Outlets in Costa Rica 哥斯达黎加Facebook用户对主流媒体反应的BETO情绪分析

2021 Third International Conference on Transdisciplinary AI (TransAI) Pub Date : 2021-09-01 DOI: 10.1109/TransAI51903.2021.00027

Felix David Suarez Bonilla, Natyari Vargas Oconitrillo, José David Garro Castro, Alejandro Durán, Ana Paula Jiménez Chavarría

引用次数: 0

Hybrid and Ensemble-Based Personalized Recommender System - Solving Data Sparsity Problem 基于混合集成的个性化推荐系统——解决数据稀疏性问题

2021 Third International Conference on Transdisciplinary AI (TransAI) Pub Date : 2021-09-01 DOI: 10.1109/TransAI51903.2021.00029

Akshay Shukla, Lousia Manoael, Taehyung Wang

引用次数: 1

Document Classification and Information Extraction framework for Insurance Applications 保险应用的文档分类和信息提取框架

2021 Third International Conference on Transdisciplinary AI (TransAI) Pub Date : 2021-09-01 DOI: 10.1109/TransAI51903.2021.00010

Ananth Raj GV, Qian You, Dan Dickinson, Eric Bunch, G. Fung

引用次数: 1