National Key Laboratory of Human Factors Engineering

Laboratory of, China

National Key Laboratory of Human Factors Engineering

Laboratory of, China
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Zhang W.,National Key Laboratory of Human Factors Engineering | Du H.,Beihang University | Wang T.,National Key Laboratory of Human Factors Engineering | Li J.,National Key Laboratory of Human Factors Engineering | Ding L.,Beihang University
Advances in Intelligent Systems and Computing | Year: 2016

While we are working or living in severe environment, the internal pressure changes of functional garments, the resistance from clothing and the thermal insulation for individual will lead obviously changes of our workload, heart rate and metabolic rate. Working in extreme circumstances and dressing pressure garments make workload increased significantly which limit people’s ability to accomplish the tasks and reducing the efficiency of activity. This paper mainly report the study on relationship between different upper limb workloads and metabolic rate when subjects were dressing, undressed or with pressures. Specially, we focus on the relationship between heart rate and metabolic rate in clothes. The main conclusions of this paper is: Wearing different garments the correspondence between heart rate and metabolic rate are far from the same. And Liquid Cooling Garment (LCG) is the most effective garment for human metabolism among the clothes in this research. The pressures inside clothes increased workload, as well as the metabolic rate. © Springer International Publishing Switzerland 2016.


Hu H.,Nanjing Southeast University | Han Y.,Nanjing Southeast University | Song A.,Nanjing Southeast University | Chen S.,National Key Laboratory of Human Factors Engineering | And 2 more authors.
Sensors (Switzerland) | Year: 2014

Sliding tactile perception is a basic function for human beings to determine the mechanical properties of object surfaces and recognize materials. Imitating this process, this paper proposes a novel finger-shaped tactile sensor based on a thin piezoelectric polyvinylidene fluoride (PVDF) film for surface texture measurement. A parallelogram mechanism is designed to ensure that the sensor applies a constant contact force perpendicular to the object surface, and a 2-dimensional movable mechanical structure is utilized to generate the relative motion at a certain speed between the sensor and the object surface. By controlling the 2-dimensional motion of the finger-shaped sensor along the object surface, small height/depth variation of surface texture changes the output charge of PVDF film then surface texture can be measured. In this paper, the finger-shaped tactile sensor is used to evaluate and classify five different kinds of linen. Fast Fourier Transformation (FFT) is utilized to get original attribute data of surface in the frequency domain, and principal component analysis (PCA) is used to compress the attribute data and extract feature information. Finally, low dimensional features are classified by Support Vector Machine (SVM). The experimental results show that this finger-shaped tactile sensor is effective and high accurate for discriminating the five textures. © 2014 by the authors; licensee MDPI, Basel, Switzerland.


Du H.,Beihang University | Wang L.,National Key Laboratory of Human Factors Engineering | Ding L.,Beihang University | Xu Y.,National Key Laboratory of Human Factors Engineering | Jiang C.,National Key Laboratory of Human Factors Engineering
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2015

In the industrial fields, many connectors and p lugs need to assemble or disassemble, but some designs make it difficult for workers to complete the operation or even impossible to finish. This problem is caused by the designer who didn’t considered the people used connectors for operation need a certain amount of clearance. This paper mainly introduces the method of using motion capture to measure the 2D working clearance of human hand while the process of installing and removing the connectors. The study figure out the characteristic parameters of operating space for 13 connectors, several layouts is obtained, and verified motion capture tests can be used to research the usability of equipment. Researchers find the test results tend to be loose, so the test needed to verify or make the clearance area more rigorous. This paper provide reference for the future study of the connector panel design. © Springer International Publishing Switzerland 2015.


Liu M.,Tsinghua University | Zhang Y.,National Key Laboratory of Human Factors Engineering | Zhang Y.,China Astronaut Research and Training Center | Zhu C.,National University of Defense Technology | Li Z.,Tsinghua University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2016

Team teleoperation, which is commonly seen in dangerous and inaccessible environments, is challenging by the complexity and dynamics of the environment, especially when there is time delay. This study was focused on Two-Operator-Two-Robot teleoperation and discussed the influence of time delay on team performance. In this study, we collected operational performance data, eye movement data and subjective rating to compare the performance of an object moving task with 0 s and 3.73 s time delay. Preliminary results of the experiment indicate that the increase of time delay significantly increase completion time and decrease fraction of time moving (MRATIO). In addition, time delay significantly increase the variance of the number of collisions and joint limit reach, which suggest that the inter-individual difference become greater under time delay. © Springer International Publishing Switzerland 2016.


Hu W.,Xi'an Jiaotong University | Hu W.,China Astronaut Research and Training Center | Hu W.,National Key Laboratory of Human Factors Engineering | Deng Y.-B.,China Astronaut Research and Training Center | And 4 more authors.
Applied Mechanics and Materials | Year: 2013

To resolve a lasting suitable cabin environment for the astronauts, this paper proposes an effective framework design for automatic fault diagnosis system. This framework can implement a real-time online diagnosis and decision support for fault, and carry out an early diagnosis for weak fault. Finally, this paper achieves an online automatic fault diagnosis system by using neural network's self-learning characteristics and expert knowledge. In two-men-two-days simulated manned space flight test, the software of diagnosis system framework worked well, which has been assessed and verified comprehensively. © (2013) Trans Tech Publications, Switzerland.


Li P.,State Key Laboratory of Space Medicine Fundamentals and Application | Li P.,China Astronaut Research and Training Center | Wu B.,State Key Laboratory of Space Medicine Fundamentals and Application | Wu B.,China Astronaut Research and Training Center | And 5 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013

This research aims to study how HRV parameters change with task complexity during manual controlled Rendezvous and Docking (RVD). One one-factor experiment was conducted. The experiment task was manual controlled Rendezvous and Docking (RVD) operation and the factor was task complexity which was divided into three levels. Eight male volunteers participated in this experiment, which consisted of three trials, and each of which consisted of ten operation units containing three complexity levels. The dependent variables were main performance parameters and HRV parameters. Results showed that operation time and fuel consumption changed significantly with different complexity levels. Besides, there were significant differences on partial HRV parameters. It can be inferred that some HRV parameters are useful for mental workload evaluation. However, the relationship between the insignificant parameters and complexity levels needs to be validated and the way how HRV should be used for mental workload evaluation deserves further study. © 2013 Springer-Verlag.


Wang M.,National Key Laboratory of Human Factors Engineering | Wang M.,China Astronaut Research and Training Center | Zhang Y.,National Key Laboratory of Human Factors Engineering | Zhang Y.,China Astronaut Research and Training Center | And 8 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013

To investigate how the spaceflight operation complexity and training affect operation errors of spaceflight tasks, a two-factor experiment was designed and conducted. Nine participants performed eighteen spacecraft operation units which were divided into three complexity levels during two training stages. Based on the experiment data, the changes of average operation times and errors at the initial and final stages were analyzed; the equations of linear regression between the complexity and the average operation errors were established. The results showed that the average operation errors were significantly raised with the complexity at the initial stage (P=0.03, 0.02). The operation errors of the low and middle complexity levels at the final stage were much less than those at the initial stage (P<0.05).The operation errors were significantly correlated to the complexity levels at the two stages. It implies that suitable operation complexity and sufficient training are two of the effective ways to ensure the reliability of astronaut operations during spaceflight. © 2013 Springer-Verlag.


Du X.,China Astronaut Research and Training Center | Zhang Y.,China Astronaut Research and Training Center | Zhang Y.,National Key Laboratory of Human Factors Engineering | Wu B.,China Astronaut Research and Training Center | And 5 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2015

The present study investigated the effect of automation on the mental workload of novice operators in manual rendezvous and docking (RVD). One within-subject experiment was designed and fifteen participants participated in the experiment. All participants were required to finish six RVD tasks of two automation levels: manual RVD and the automation-aided manual RVD. Workload of the participant during RVD tasks were assessed with subjective and physiological indicators. Subjective workload was measured by NASA Task Load Index (NASA-TLX). Physiological workload indicators included mean heart rate, the root mean square of successive differences (RMSSD), the low frequency (LFNU, 0.04 to 0.15 Hz) and high frequency (HFNU, 0.15 to 0.4 Hz) power spectrum component of heart rate variability (HRV, both in normalization form), the LF/HF ratio, and the total power (TP). The results showed that subjective workload rating were significantly lower in the automation- aided RVD as compared to that of manual RVD task. However cardiovascular measures showed different pattern. Mean heart rates, RMSSD and TP of participants did not change significantly with the change of automation level, LFNU was significantly higher, and HFNU was significantly lower in automation-aided RVD task as compared to that in manual RVD task. The results showed that despite a perceived workload reduction in automation-aided RVD, the objective measures of HRV reflected a workload increment. A possible reason is that novice operators were not familiar with automated system, thus it was difficult for them to understand and anticipate the intention and action of automation. The results inferred that application of automation to such complex and dynamic tasks for novice operators should be cautious; novice participants need more training to build deeper understanding of automation system. © Springer International Publishing Switzerland 2015.


Yijing Z.,China Astronaut Research and Training Center | Yijing Z.,National Key Laboratory of Human Factors Engineering | Xiaoping D.,China Astronaut Research and Training Center | Fang L.,China Astronaut Research and Training Center | And 2 more authors.
BioMed Research International | Year: 2015

The present study aimed to investigate the effects of guided imagery training on heart rate variability in individuals while performing spaceflight emergency tasks. Materials and Methods. Twenty-one student subjects were recruited for the experiment and randomly divided into two groups: imagery group (n = 11) and control group (n = 10). The imagery group received instructor-guided imagery (session 1) and self-guided imagery training (session 2) consecutively, while the control group only received conventional training. Electrocardiograms of the subjects were recorded during their performance of nine spaceflight emergency tasks after imagery training. Results. In both of the sessions, the root mean square of successive differences (RMSSD), the standard deviation of all normal NN (SDNN), the proportion of NN50 divided by the total number of NNs (PNN50), the very low frequency (VLF), the low frequency (LF), the high frequency (HF), and the total power (TP) in the imagery group were significantly higher than those in the control group. Moreover, LF/HF of the subjects after instructor-guided imagery training was lower than that after self-guided imagery training. Conclusions. Guided imagery was an effective regulator for HRV indices and could be a potential stress countermeasure in performing spaceflight tasks. © 2015 Zhang Yijing et al.


Xue S.,National Key Laboratory of Human Factors Engineering | Jiang G.,National Key Laboratory of Human Factors Engineering | Tian Z.,National Key Laboratory of Human Factors Engineering
Proceedings - 2014 6th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2014 | Year: 2014

Situation Awareness (SA) is a vital factor in manmachine systems. In the classic information processing model of SA, the elements within human cognition, system properties and SA-judgement itself effect with each other, which makes the SA a complicated system. In order to research SA in a comprehensive way, the approach of Fuzzy Cognitive Maps(FCM) is used to remodel and analyze it. Through standard interviews, related concepts are found and the SA-FCM model is structured. An adjacent matrix is created by exploring the inference mechanism of concepts and their casual relations in the graph model. Several properties of the SA system can be dug with matrix theories. And how to achieve an expected SA performance by changing the factor of HCI design is discussed. The methodology and further results of this paper will benefit the related areas in human-machine systems, especially HCI design, operators training and automation level set-up. © 2014 IEEE.

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