Wenjin Tao

Wenjin Tao
Missouri University of Science and Technology | Missouri S&T · Department of Mechanical Engineering

Doctor of Philosophy

About

21
Publications
65,517
Reads
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628
Citations
Citations since 2017
20 Research Items
628 Citations
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Introduction
Wenjin Tao currently works at the Department of Mechanical Engineering, Missouri University of Science and Technology. Their current project is 'Cyber-Physical Sensing, Modeling, and Control with Augmented Reality for Smart Manufacturing Workforce Training and Operations Management'.

Publications

Publications (21)
Conference Paper
Full-text available
Additive Manufacturing (AM) technology provides new opportunities to automatically and flexibly fabricate parts with complicated shapes and architectures that could not be produced by conventional manufacturing processes, thus enabling unprecedented design flexibilities and application opportunities. The lattice structure possesses many superior pr...
Conference Paper
Full-text available
In a smart manufacturing system involving workers, recognition of the worker's activity can be used for quantification and evaluation of the worker's performance, as well as to provide onsite instructions with augmented reality. In this paper, we propose a method for activity recognition using Inertial Measurement Unit (IMU) and surface electromyog...
Conference Paper
Full-text available
Lattice structures fabricated by Additive Manufacturing (AM) processes are promising for many applications, such as lightweight structures and energy absorbers. However, predicting and controlling of their mechanical behaviors is challenging due to the complexity of modeling and the uncertainties exist in the manufacturing process. In this paper, w...
Book
Full-text available
This self-guided tutorial provides a step-by-step approach for users to learn NX 12. It is intended for those with no previous experience with NX. However, users of previous versions of NX may also find this tutorial useful for them to learn the new user interfaces and functions. The user will be guided from starting an NX 12 session to creating mo...
Preprint
Full-text available
American Sign Language (ASL) alphabet recognition by computer vision is a challenging task due to the complexity in ASL signs, high interclass similarities , large intraclass variations, and constant occlusions. This paper describes a method for ASL alphabet recognition using Convolutional Neural Networks (CNN) with multiview augmentation and infer...
Preprint
Full-text available
Human Activity Recognition (HAR) using wearable devices such as smart watches embedded with Inertial Measurement Unit (IMU) sensors has various applications relevant to our daily life, such as workout tracking and health monitoring. In this paper, we propose a novel attention-based approach to human activity recognition using multiple IMU sensors w...
Article
Full-text available
Real-time Action Recognition (ActRgn) of assembly workers can timely assist manufacturers in correcting human mistakes and improving task performance. Yet, recognizing worker actions in assembly reliably is challenging because such actions are complex and fine-grained, and workers are heterogeneous. This paper proposes to create an individualized s...
Chapter
Virtual Reality (VR) technologies provide a realistic, safe, and controllable environment for novice surgeons to practice surgical operations, allowing them to make mistakes without serious consequences, which have been changing the world of surgical training and practice. This book chapter focuses on methodologies and applications of utilizing VR...
Conference Paper
Full-text available
With the development of industrial automation and artificial intelligence, robotic systems are developing into an essential part of factory production, and the human-robot collaboration (HRC) becomes a new trend in the industrial field. In our previous work, ten dynamic gestures have been designed for communication between a human worker and a robo...
Article
This study aims at sensing and understanding the worker’s activity in a human-centered intelligent manufacturing system. We propose a novel multi-modal approach for worker activity recognition by leveraging information from different sensors and in different modalities. Specifically, a smart armband and a visual camera are applied to capture Inerti...
Conference Paper
Full-text available
Human-robot collaboration (HRC) is a challenging task in modern industry and gesture communication in HRC has attracted much interest. This paper proposes and demonstrates a dynamic gesture recognition system based on Motion History Image (MHI) and Convolutional Neural Networks (CNN). Firstly, ten dynamic gestures are designed for a human worker to...
Article
Assembly carries paramount importance in manufacturing. Being able to support workers in real time to maximize their positive contributions to assembly is a tremendous interest of manufacturers. Human action recognition has been a way to automatically analyze and understand worker actions to support real-time assistance for workers and facilitate w...
Article
Quality and efficiency are crucial indicators of any manufacturing company. Many companies are suffering from a shortage of experienced workers across the production line to perform complex assembly tasks. To reduce time and error in an assembly task, a worker-centered system consisting of multi-modal Augmented Reality (AR) instructions with the su...
Article
Full-text available
In a human-centered intelligent manufacturing system, every element is to assist the operator in achieving the optimal operational performance. The primary task of developing such a human-centered system is to accurately understand human behavior. In this paper, we propose a fog computing framework for assembly operation recognition, which brings c...
Preprint
Full-text available
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 from different sensors and in different modalities. Specifically, a smart armband and a visual camera are app...
Article
Full-text available
Training and on-site assistance is critical to help workers master required skills, improve worker productivity, and guarantee the product quality. Traditional training methods lack worker-centered considerations that are particularly in need when workers are facing ever-changing demands. In this study, we propose a worker-centered training & assis...
Chapter
Full-text available
Virtual Reality (VR) and Augmented Reality (AR) technologies have been well researched for decades, and recently they have been introduced to the consumer market and are being applied to many fields. This chapter focuses on utilizing VR/AR technologies for assembly simulations in advanced manufacturing. First, some basic terminologies and concepts...
Article
Full-text available
Production innovations are occurring faster than ever. Manufacturing workers thus need to frequently learn new methods and skills. In fast changing, largely uncertain production systems, manufacturers with the ability to comprehend workers’ behavior and assess their operation performance in near real-time will achieve better performance than peers....
Article
Full-text available
Insufficient illumination makes driver face detection at night challenging. This study proposes an Adaptive Attenuation Quantification Retinex (AAQR) method to enhance the details of nighttime images. There are three phases in this method: attenuation restriction, attenuation prediction, and adaptive quantification. The performance of the proposed...
Conference Paper
Full-text available
Recognition of American Sign Language (ASL) alphabet not only could bring benefits to the ASL users, but also could provide solutions for natural human-computer/robot interactions in many applications. In this paper, we propose a method for ASL alphabet recognition with use of a Leap Motion Controller (LMC). The skeleton data from the native LMC AP...

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Projects

Projects (3)
Project
This project aims to answer the question of how to design lattice structures, especially for Additive Manufacturing (AM) processes, innovatively and efficiently.
Project
Smart manufacturing integrates information, technology, and human ingenuity to inspire the next revolution in the manufacturing industry. Manufacturing has been identified as a key strategic investment area by the U.S. government, private sector, and university leaders to spur innovation and keep America competitive. However, the lack of new methodologies and tools is challenging continuous innovation in the smart manufacturing industry. This award supports fundamental research to develop a cyber-physical sensing, modeling, and control infrastructure, coupled with augmented reality, to significantly improve the efficiency of future workforce training, performance of operations management, safety and comfort of workers for smart manufacturing. Results from this research are expected to transform the practice of worker-machine-task coordination and provide a powerful tool for operations management. This research involves several disciplines including sensing, data analytics, modeling, control, augmented reality, and workforce training and will provide unique interdisciplinary training opportunities for students and future manufacturing engineers.