Towards a Modular and Wearable Support System for Industrial Production

2016 ◽  
Vol 840 ◽  
pp. 123-131 ◽  
Author(s):  
Robert Weidner ◽  
Tobias Meyer ◽  
Andreas Argubi-Wollesen ◽  
Jens P. Wulfsberg
Keyword(s):  
Support System ◽  
Musculoskeletal Diseases ◽  
Control Unit ◽  
Soft Materials ◽  
Upper Extremities ◽  
Machine Interface ◽  
Novel Concept ◽  
System Prototype ◽  
Head Level

Despite the increasing degree of automation many tasks are still performed manually, especially in production of individualized, sensitive or quality critical products. These tasks, e.g. tasks in or above head level, are often non ergonomic. Thus musculoskeletal diseases can occur. This paper presents a novel concept for a modular and wearable technical support system for reducing musculoskeletal stress. The support system which is based on the approach of Human Hybrid Robot (HHR) can be adapted easily to different users and activities. The system emphasizes on modularity and the use of soft materials for kinematic elements and interfaces in order to gain higher flexibility and increased human safety. The basic idea can be applied to various applications. The focus lies on a functional support system prototype for upper extremities. It comprises a Human-Machine-Interface using a vest equipped with soft kinematic elements as well as a control unit. Moreover, results from a biomechanical case study will be illustrated in order to confirm the ergonomic improvements, especially the comparison of the range of motion and the musculoskeletal stress during tasks.

Reflection on Learner-Led Study Abroad Events in a SAC from Three Perspectives: A Learner, an Administrative Staff Member, and an Advisor

Relay Journal ◽  
2020 ◽  
pp. 66-79
Author(s):  
Mizuki Shibata ◽  
Chihiro Hayashi ◽  
Yuri Imamura
Keyword(s):  
Study Abroad ◽  
Language Learning ◽  
Support System ◽  
Staff Member ◽  
Administrative Staff ◽  
Multiple Reflections ◽  
Learning Space ◽  
Japanese University ◽  
Staff Members

This paper reports on a case study of learner-led study-abroad events in the language learning space at a Japanese University. We present multiple reflections on the events from different perspectives: the event organizer (student), an administrative staff member, and a learning advisor working at the center. We also introduce the support system that a group of administrative staff members and learning advisors are in charge of helping learners to hold their events. Moreover, throughout our reflections, several factors that made the learner-led study-abroad events sustainable and successful are demonstrated.

scholarly journals Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study

2021 ◽  
Author(s):  
Suzanne L. van Winkel ◽  
Alejandro Rodríguez-Ruiz ◽  
Linda Appelman ◽  
Albert Gubern-Mérida ◽  
Nico Karssemeijer ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Artificial Intelligence ◽  
Cancer Detection ◽  
Support System ◽  
Reading Time ◽  
Digital Breast Tomosynthesis ◽  
Breast Tomosynthesis ◽  
Screening Programs ◽  
The Impact

Abstract Objectives Digital breast tomosynthesis (DBT) increases sensitivity of mammography and is increasingly implemented in breast cancer screening. However, the large volume of images increases the risk of reading errors and reading time. This study aims to investigate whether the accuracy of breast radiologists reading wide-angle DBT increases with the aid of an artificial intelligence (AI) support system. Also, the impact on reading time was assessed and the stand-alone performance of the AI system in the detection of malignancies was compared to the average radiologist. Methods A multi-reader multi-case study was performed with 240 bilateral DBT exams (71 breasts with cancer lesions, 70 breasts with benign findings, 339 normal breasts). Exams were interpreted by 18 radiologists, with and without AI support, providing cancer suspicion scores per breast. Using AI support, radiologists were shown examination-based and region-based cancer likelihood scores. Area under the receiver operating characteristic curve (AUC) and reading time per exam were compared between reading conditions using mixed-models analysis of variance. Results On average, the AUC was higher using AI support (0.863 vs 0.833; p = 0.0025). Using AI support, reading time per DBT exam was reduced (p < 0.001) from 41 (95% CI = 39–42 s) to 36 s (95% CI = 35– 37 s). The AUC of the stand-alone AI system was non-inferior to the AUC of the average radiologist (+0.007, p = 0.8115). Conclusions Radiologists improved their cancer detection and reduced reading time when evaluating DBT examinations using an AI reading support system. Key Points • Radiologists improved their cancer detection accuracy in digital breast tomosynthesis (DBT) when using an AI system for support, while simultaneously reducing reading time. • The stand-alone breast cancer detection performance of an AI system is non-inferior to the average performance of radiologists for reading digital breast tomosynthesis exams. • The use of an AI support system could make advanced and more reliable imaging techniques more accessible and could allow for more cost-effective breast screening programs with DBT.

Design of Human Machine Interface Based on ARM and Linux

2012 ◽  
Vol 241-244 ◽  
pp. 2714-2717
Author(s):  
Kun Zhang ◽  
Xi Wei Peng
Keyword(s):  
Low Cost ◽  
Hardware Design ◽  
Control Unit ◽  
Embedded Linux ◽  
Human Machine Interface ◽  
Device Drivers ◽  
Machine Interface ◽  
Micro Control Unit

In order to provide more convenient options for users and developers, the design of Human Machine Interface (HMI) based on ARM and embedded Linux is put forward. It makes full use of multiple peripherals of ARM and flexibility of Linux OS. Firstly, hardware design of the HMI system is presented. Then methods of embedded Linux transplanting and the device drivers programming are discussed. Finally, running results and applications of the designed HMI are considered. The design combines the features of traditional HMI and Micro Control Unit (MCU) HMI, including low cost, rich interfaces and easy programming.

Decision Support System for Radiotherapy Patient Scheduling: Thai Cancer Center Case Study

2021 ◽  
Author(s):  
Chawis Boonmee ◽  
Nirand Pisutha-Arnond ◽  
Wichai Chattinnawat ◽  
Pooriwat Muangwong ◽  
Wannapha Nobnop ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Cancer Center ◽  
Patient Scheduling
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