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相关论文: Occupational Safety within Non-Routine Manufacturi…

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Real-time safety assessment (RTSA) of dynamic systems is a critical task that has significant implications for various fields such as industrial and transportation applications, especially in non-stationary environments. However, the…

系统与控制 · 电气工程与系统科学 2023-06-21 Zeyi Liu , Songqiao Hu , Xiao He

Automation technique has been widely used in manufacturing industry, but there are still manual handling operations required in assembly and maintenance work in industry. Inappropriate posture and physical fatigue might result in…

机器人学 · 计算机科学 2009-11-10 Liang Ma , Wei Zhang , Damien Chablat , Fouad Bennis , François Guillaume

In contemporary training for industrial manufacturing, reconciling theoretical knowledge with practical experience continues to be a significant difficulty. As companies transition to more intricate and technology-oriented settings,…

人机交互 · 计算机科学 2025-07-30 Vladislav Li , Ilias Siniosoglou , Panagiotis Sarigiannidis , Vasileios Argyriou

The workplace influences the safety, health, and productivity of workers at multiple levels. To protect and promote total worker health, smart hardware, and software tools have emerged for the identification, elimination, substitution, and…

系统与控制 · 电气工程与系统科学 2022-05-25 Vishal Patel , Austin Chesmore , Christopher M. Legner , Santosh Pandey

Purpose: Surgical task-based metrics (rather than entire procedure metrics) can be used to improve surgeon training and, ultimately, patient care through focused training interventions. Machine learning models to automatically recognize…

计算机视觉与模式识别 · 计算机科学 2019-07-04 Aneeq Zia , Liheng Guo , Linlin Zhou , Irfan Essa , Anthony Jarc

Musculoskeletal disorder (MSD) is one of the major health problems in mechanical work especially in manual handling jobs. Muscle fatigue is believed to be the main reason for MSD. Posture analysis techniques have been used to expose MSD…

机器人学 · 计算机科学 2009-01-05 Liang Ma , Damien Chablat , Fouad Bennis , Wei Zhang

Background Analyzing kinematic and video data can help identify potentially erroneous motions that lead to sub-optimal surgeon performance and safety-critical events in robot-assisted surgery. Methods We develop a rubric for identifying…

机器人学 · 计算机科学 2023-01-20 Kay Hutchinson , Zongyu Li , Leigh A. Cantrell , Noah S. Schenkman , Homa Alemzadeh

Human activity recognition based on wearable sensor data has been an attractive research topic due to its application in areas such as healthcare and smart environments. In this context, many works have presented remarkable results using…

计算机视觉与模式识别 · 计算机科学 2019-02-04 Artur Jordao , Antonio C. Nazare , Jessica Sena , William Robson Schwartz

Human-robot collaborative assembly systems enhance the efficiency and productivity of the workplace but may increase the workers' cognitive demand. This paper proposes an online and quantitative framework to assess the cognitive workload…

机器人学 · 计算机科学 2022-07-11 Marta Lagomarsino , Marta Lorenzini , Pietro Balatti , Elena De Momi , Arash Ajoudani

Industrial workplace challenges range from musculoskeletal disorders -- a leading cause of occupational injury -- to suboptimal workstation layouts, inefficient task sequences, and poor human-equipment fit. Digital human modeling (DHM)…

人机交互 · 计算机科学 2026-05-07 Sinan Bank , Casey E. Eaton

During the conceptual and prototype design stage of an industrial product, it is crucial to take assembly/disassembly and maintenance operations in advance. A well-designed system should enable relatively easy access of operating…

机器人学 · 计算机科学 2012-06-08 Liang Ma , Ruina Ma , Damien Chablat , Fouad Bennis

This paper presents a comprehensive review of methods covering significant subjective and objective human stress detection techniques available in the literature. The methods for measuring human stress responses could include subjective…

Challenges of enhancing productivity by amplifying efficiency and man-machine compatibility of equipment can be achieved by adopting advanced technologies. This study aims to present and exemplify methodology for incorporating ergonomics…

人机交互 · 计算机科学 2022-04-06 Neelesh Kr. Sharma , Mayank Tiwari , Atul Thakur , Anindya K. Ganguli

Identifying and mitigating safety risks is paramount in a number of industries. In addition to guidelines and best practices, many industries already have safety management systems (SMSs) designed to monitor and reinforce good safety…

应用统计 · 统计学 2022-05-03 Ashutosh Tewari , Antonio R. Paiva

Human factors and ergonomics are the essential constituents of teleoperation interfaces, which can significantly affect the human operator's performance. Thus, a quantitative evaluation of these elements and the ability to establish…

人机交互 · 计算机科学 2021-05-21 Soheil Gholami , Marta Lorenzini , Elena De Momi , Arash Ajoudani

In a human-centered intelligent manufacturing system, sensing and understanding of the worker's activity are the primary tasks. In this paper, we propose a novel multi-modal approach for worker activity recognition by leveraging information…

计算机视觉与模式识别 · 计算机科学 2019-08-22 Wenjin Tao , Ming C. Leu , Zhaozheng Yin

The construction industry has demonstrated a high frequency and severity of accidents. Construction accidents are the result of the interaction between unsafe work conditions and workers unsafe behaviors. Given this relation, perceived risk…

信号处理 · 电气工程与系统科学 2019-08-15 Byungjoo Choi , Gaang Lee , Houtan Jebelli , SangHyun Lee

Lifting is a common manual material handling task performed in the workplaces. It is considered as one of the main risk factors for Work-related Musculoskeletal Disorders. To improve work place safety, it is necessary to assess…

计算机视觉与模式识别 · 计算机科学 2018-02-07 Rahil Mehrizi , Xi Peng , Zhiqiang Tang , Xu Xu , Dimitris Metaxas , Kang Li

Background: Egocentric video has recently emerged as a potential solution for monitoring hand function in individuals living with tetraplegia in the community, especially for its ability to detect functional use in the home environment.…

图像与视频处理 · 电气工程与系统科学 2023-11-22 Andrea Bandini , Mehdy Dousty , Sander L. Hitzig , B. Catharine Craven , Sukhvinder Kalsi-Ryan , José Zariffa

One of the most important object properties that humans and robots perceive through touch is hardness. This paper investigates information-theoretic active sampling strategies for sample-efficient hardness classification with vision-based…