Adaptations to isolated shoulder fatigue during simulated repetitive work. Part I: Fatigue

2016 ◽  
Vol 29 ◽  
pp. 34-41 ◽  
Author(s):  
Calvin T.F. Tse ◽  
Alison C. McDonald ◽  
Peter J. Keir
Keyword(s):  
Repetitive Work

Associations between repetitive work and endocrinological indicators of stress

Work & Stress ◽  
2003 ◽  
Vol 17 (3) ◽  
pp. 264-276 ◽  
Author(s):  
Åse Marie Hansen ◽  
Anette Kaergaard ◽  
Johan Hviid Andersen ◽  
Bo Netterstrøm
Keyword(s):  
Repetitive Work

The Design and Implementation of a Handling-Robot

2014 ◽  
Vol 644-650 ◽  
pp. 290-293
Author(s):  
Zhi Hui Deng ◽  
Yun Hang Zhu
Keyword(s):  
Production Efficiency ◽  
Structure Design ◽  
Stepper Motor ◽  
Current Sensor ◽  
Single Chip ◽  
Single Chip Microcomputer ◽  
Accident Rate ◽  
Repetitive Work ◽  
Design And Implementation ◽  
Information Interaction

A robot based on STC12C5A60S2 single-chip-microcomputer is designed for improving the production efficiency and reducing repetitive work. The system could identify path by detecting metal using eddy current sensor. By ways of the single-chip-microcomputer controlling stepper motor, the robot can run according to the predetermined route, judge independently cargo range and deliver the goods to the designated location. The implementation methods of the important links, such as mechanical structure design, path recognition and steering engine driving and so on are introduced, the system of which make the information interaction with computer through ISP-module (In-system-programming).by testing the model, it shows that the system can meet the design goals of handling goods automatically, and it has higher application value of reducing the accident rate of worker in repeated works and improving labor productivity.

US2RO: Union of Superpoints to Recognize Objects

2021 ◽  
Vol 15 (04) ◽  
pp. 513-537
Author(s):  
Marcel Tiator ◽  
Anna Maria Kerkmann ◽  
Christian Geiger ◽  
Paul Grimm
Keyword(s):  
Imitation Learning ◽  
Network Architectures ◽  
Application Development ◽  
Repetitive Work ◽  
Data Set ◽  
Partition System ◽  
Performance Metric ◽  
Growing Environment ◽  
The Creation ◽  
Near Future

The creation of interactive virtual reality (VR) applications from 3D scanned content usually includes a lot of manual and repetitive work. Our research aim is to develop agents that recognize objects to enhance the creation of interactive VR applications. We trained partition agents in our superpoint growing environment that we extended with an expert function. This expert function solves the sparse reward signal problem of the previous approaches and enables to use a variant of imitation learning and deep reinforcement learning with dense feedback. Additionally, the function allows to calculate a performance metric for the degree of imitation for different partitions. Furthermore, we introduce an environment to optimize the superpoint generation. We trained our agents with 1182 scenes of the ScanNet data set. More specifically, we trained different neural network architectures with 1170 scenes and tested their performance with 12 scenes. Our intermediate results are promising such that our partition system might be able to assist the VR application development from 3D scanned content in near future.

scholarly journals Pain linked to repetitive work

BMJ ◽  
1994 ◽  
Vol 308 (6923) ◽  
pp. 269-270 ◽  
Author(s):  
S P Tyrer
Keyword(s):  
Repetitive Work

scholarly journals REPETITION AS A RISK FACTOR FOR THE DEVELOPMENT OF MUSCULOSKELETAL DISORDERS

2013 ◽  
Vol 3 (1) ◽  
Author(s):  
Sonja Pavlovic-Veselinovic
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Risk Factor ◽  
Key Words ◽  
Musculoskeletal Disorders ◽  
World Economy ◽  
Repetitive Work ◽  
Work Related ◽  
Work Related Musculoskeletal Disorders ◽  
Repetitive Strain

Work-related musculoskeletal disorders (WRMSDs) are becoming a major problem in world economy. There is many and various risk factors that contribute to their development. Repetitive work is one of the most important risk factor. In this paper is described the body's response to repetitive strain, existing methods for evaluation/ quantification of repetition as risk factor for musculoskeletal disorders. The author proposes a new multidimensional scale for rating the level of risk of repetitive work, which may be useful in the risk assessment of the workplace. Key words: ergonomics, work related musculoskeletal disorders, risk assessment.

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