Proceedings of the ... IEEE Systems and Information Engineering Design Symposium. IEEE Systems and Information Engineering Design Symposium最新文献

筛选

英文中文

Safe lifting: An adaptive training system for factory workers using the Microsoft Kinect 安全升降:一种使用微软Kinect的工厂工人自适应培训系统

Proceedings of the ... IEEE Systems and Information Engineering Design Symposium. IEEE Systems and Information Engineering Design Symposium Pub Date : 2013-04-26 DOI: 10.1109/SIEDS.2013.6549495

J. Delpresto, Chuhong Duan, L. M. Layiktez, E. G. Moju-Igbene, M. B. Wood, P. A. Beling

{"title":"Safe lifting: An adaptive training system for factory workers using the Microsoft Kinect","authors":"J. Delpresto, Chuhong Duan, L. M. Layiktez, E. G. Moju-Igbene, M. B. Wood, P. A. Beling","doi":"10.1109/SIEDS.2013.6549495","DOIUrl":"https://doi.org/10.1109/SIEDS.2013.6549495","url":null,"abstract":"One of the biggest challenges facing Americans working in industrial factories is the risk of developing musculoskeletal disorders (MSDs). About 2% of all American workers suffer from MSDs every year. This has a significant social consequence on the lives of workers and places a large burden on the employers, as MSDs account for over one-third of all worker compensation costs. Still-frame models developed to reduce work-related MSDs either require expertise or lack real-time analysis. The focus of this project was to design an accurate monitoring system that could help factory workers correct their heavy-lifting technique by making adaptive technique recommendations. To observe human lifts, we made use of the Microsoft Kinect depth sensing camera, which has the ability to provide real-time skeletal tracking at 30 frames per second. Proper lifting techniques were defined using several lifting equations and various biomechanical models. Knowledge of the user's joint angles allows us to assess lift safety. In our system design, users are first asked to perform several lifts in different canonical styles. The system then provides the user with a recommended lifting style that maximizes safety within the constraints of the user's measured capabilities.","PeriodicalId":74520,"journal":{"name":"Proceedings of the ... IEEE Systems and Information Engineering Design Symposium. IEEE Systems and Information Engineering Design Symposium","volume":"74 1","pages":"64-69"},"PeriodicalIF":0.0,"publicationDate":"2013-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78778546","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: 10

Towards measuring the complexity of introducing semantics into a company 度量将语义引入公司的复杂性

Proceedings of the ... IEEE Systems and Information Engineering Design Symposium. IEEE Systems and Information Engineering Design Symposium Pub Date : 2013-04-26 DOI: 10.1109/SIEDS.2013.6549499

Liliana Ibeth Barbosa Santillán, I. Á. D. M. Rego

{"title":"Towards measuring the complexity of introducing semantics into a company","authors":"Liliana Ibeth Barbosa Santillán, I. Á. D. M. Rego","doi":"10.1109/SIEDS.2013.6549499","DOIUrl":"https://doi.org/10.1109/SIEDS.2013.6549499","url":null,"abstract":"The Semantics Difficulty Model (SDM) is a model that measures the difficulty of introducing semantics technology into a company. SDM manages three descriptions of stages, which we will refer to as “snapshots”: a company semantic snapshot, data snapshot and semantic application snapshot. Understanding a priory the complexity of introducing semantics into a company is important because it allows the organization to take early decisions, thus saving time and money, mitigating risks and improving innovation, time to market and productivity. SDM works by measuring the distance between each initial snapshot and its reference models (the company semantic snapshots reference model, data snapshots reference model, and the semantic application snapshots reference model) with Euclidian distances. The difficulty level will be ”not at all difficult” when the distance is small, and becomes ”extremely difficult” when the the distance is large. SDM has been tested experimentally with 2000 simulated companies with arrangements and several initial stages. The output is measured by five linguistic values: ”not at all difficult, slightly difficult, averagely difficult, very difficult and extremely difficult”. As the preliminary results of our SDM simulation model indicate, transforming a search application into integrated data from different sources with semantics is a ”slightly difficult”, in contrast with data and opinion extraction applications for which it is ”very difficult”.","PeriodicalId":74520,"journal":{"name":"Proceedings of the ... IEEE Systems and Information Engineering Design Symposium. IEEE Systems and Information Engineering Design Symposium","volume":"71 1","pages":"86-91"},"PeriodicalIF":0.0,"publicationDate":"2013-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86247202","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: 1

首页上一页