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Recognition of walking environments and gait period by surface electromyography

Frontiers of Information Technology & Electronic Engineering 2019年第3期20卷 342-352页

作者： Seulki KYEONG Wonseok SHIN Minjin YANG ung heo Ji-rou FENG Jung KIM Department of Mechanical Engineering Korea Advanced Institute of Science and Technology (KAIST)

Recognizing and predicting the movement and intention of the wearer in control of an exoskeleton robot is very challenging. It is difficult for exoskeleton robots, which measure and drive human movements, to interact with humans. Therefore, many different types of sensors are needed. When using various sensors, a data design is needed for effective sensing. An electromyographic(EMG) signal can be used to identify intended motion before the actual movement, and the delay time can be shortened via control of the exoskeleton robot. Before using a lower limb exoskeleton to help in walking, the aim of this work is to distinguish the walking environment and gait period using various sensors, including the surface electromyography(sE MG) sensor. For this purpose, a gait experiment was performed on four subjects using the ground reaction force, human–robot interaction force, and position sensors with sEMG sensors. The purpose of this paper is to show progress with the use of sEMG when recognizing walking environments and the gait period with other sensors. For effective data design, we used a combination of sensor types, sEMG sensor locations, and sEMG features. The results obtained using an individual mechanical sensor together with sEMG showed improvement compared to the case of using an individual sensor, and the combination of sEMG and position information showed the best performance in the same number of combinations of three sensors. When four sensor combinations were used, the environment classification accuracy was 96.1%, and the gait period classification accuracy was 97.8%. Vastus medialis(VM) and gastrocnemius(GAS) were the most effective combinations of two muscle types among the five sEMG sensor locations on the legs, and the results were 74.4% in pre-heel contact(preHC) and 71.7% in pre-toe-off(preTO) for environment classification, and 68.0% for gait period classification, when using only the sE MG sensor. The two effective sE MG feature combinations were "me

关键词： Walking environment Gait Period Surface electromyography (sEMG) Exoskeleton

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Research on flexible display at Ulsan National Institute of Science and Technology

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npj Flexible Electronics 2017年第1期1卷 47-59页

作者： Jihun Park Sanghyun heo Kibog Park Myoung Hoon Song Ju-Young Kim Gyouhyung Kyung Rodney Scott Ruoff Jang-ung Park Franklin Bien School of Materials Science and Engineering Ulsan National Institute of Science and Technology(UNIST)Ulsan Metropolitan City 44919Republic of Korea School of Electrical and Computer Engineering Ulsan National Institute of Science and Technology(UNIST)Ulsan Metropolitan City 44919Republic of Korea Department of Physics Ulsan National Institute of Science and Technology(UNIST)Ulsan Metropolitan City 44919Republic of Korea School of Design and Human Engineering Ulsan National Institute of Science and Technology(UNIST)Ulsan Metropolitan City 44919Republic of Korea Center for Multidimensional Carbon Materials Institute for Basic Science(IBS)Ulsan 44919Republic of Korea Department of Chemistry Ulsan National Institute of Science and Technology(UNIST)Ulsan 44919Republic of Korea

Displays represent information visually,so they have become the fundamental building block to visualize the data of current electronics including ***,electronics have been advanced toward flexible and wearable electronics that can be bent,folded,or stretched while maintaining their performance under various ***,recent advances in research to demonstrate flexible and wearable displays are *** introduce these results by dividing them into several categories according to the components of the display:active-matrix backplane,touch screen panel,light sources,integrated circuit for fingerprint touch screen panel,and characterization tests;and we also present mechanical tests in nano-meter scale and visual ergonomics research.

关键词： dividing electronics panel

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