• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.4
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• pp.872-878
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• 2012

In this paper, an arm motion sensing system using potentiometer is developed. Most motion sensing systems use optical method for the quality of motion data. The optical method needs much cost for manufacturing capture system and takes much time for correcting the captured data. And mechanical method entails relativity low cost, but it uses the wires and takes much time for correcting the data like the optical method. For solving the problems, in this paper, an arm motion sensing system is newly developed using low cost potentiometer and based on the suggested simple calculation method for the joint angles and the angular velocities. For the verification of the performance of the developed system, practical experiments were executed using real human arm motion and a robot arm. The experimental results showed that the motion of the robot arm controlled by the output of the developed motion sensing system is much similar with the motion of human arm.

• Science of Emotion and Sensibility
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• v.14 no.2
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• pp.221-226
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• 2011

Although diverse researches on sensing method of human movement have been performed, there are still many limitations to the existing methods. As a part of supplementing the limitations to the existing motion sensing methods, this study aimed to execute an exploratory examination on a POF-based sleeve-shaped motion sensor for less restrictive sensing of human movement. In this study, a set of POF-based motion sensor, which was embedded in a sleeve-shaped platform was devised, and a set of exploratory experiments was performed on the possibility of sensing of human movement as diverse as in daily life, through this device. The scope of this research was limited to an exploration on the possibility and basic elements of POF-based sleeve-shaped motion sensor, while the influence of sleeve patterns, those of wearer's somatotype, those of sewing method were not studied in this study. When compared to the pre-existing methods, the POF-based motion sensor platformed on sleeve in this study, which was purposively devised to be applied to the motion sensing clothing shows some beneficial characteristics : more sensitive measurement on human motion, low cost, no timely restriction in sensing, no request for gigantic apparatus and space for sensing.

• Journal of the Korean Society for Precision Engineering
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• v.32 no.4
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• pp.377-386
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• 2015

Joint force/torque estimation by inverse dynamics is a traditional tool in biomechanical studies. Conventionally for this, kinematic data of human body is obtained by motion capture cameras, of which the bulkiness and occlusion problem make it hard to capture a broad range of movement. As an alternative, inertial motion sensing using cheap and small inertial sensors has been studied recently. In this research, the performance of inertial motion sensing especially to calculate inverse dynamics is studied. Kinematic data from inertial motion sensors is used to calculate ground reaction force (GRF), which is compared to the force plate readings (ground truth) and additionally to the estimation result from optical method. The GRF estimation result showed high correlation and low normalized RMSE(R=0.93, normalized RMSE<0.02 of body weight), which performed even better than conventional optical method. This result guarantees enough accuracy of inertial motion sensing to be used in inverse dynamics analysis.

• Science of Emotion and Sensibility
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• v.20 no.3
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• pp.141-150
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• 2017

The purpose of this study was to analyze the effect of the shape and attached position of E-textile-based stretchable sensors on motion-sensing performance and to investigate the requirements for the optimal structure of clothes for sensing limb motions. An experimental garment was prepared with different sensor shapes, and attachment positions. A child subject, wearing the experimental garment, performed arm and leg bending and extension motions at $60^{\circ}$, $90^{\circ}$ and $120^{\circ}$ motion angles, at a rate of 60 deg/sec. The changes in voltage triggered by the stretching and contracting of the fabric-sensor were measured, and an acceleration sensor was utilized to verify that the experimental motions were correctly performed. Dummy arms and legs of a child were manufactured to perform an identical test, in order to compare the dummy results with the actual human body experiment results. The analysis showed that the reproducibility and reliability of the rectangular sensor, showing uniform and stable were higher than those of the boat-shaped sensor, in both the dummy and the human body experiments. The attachment position of the sensor was more reproducible and reliable when placed on 4 cm below the elbow and knee joints in the dummy test, when placed in the joints of the elbow and knee, in children experiment. The appropriate shapes and attached positions of the sensor for sensing the motions were analyzed, and the results proved that motion-sensing of the human body is possible by utilizing flexible fabric-sensors integrated into clothes.

• ETRI Journal
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• v.35 no.2
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• pp.356-359
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• 2013

We present a method for tracking and interaction based on hybrid sensing for virtual environments. The proposed method is applied to motion tracking of whole areas, including the user's occlusion space, for a high-precision interaction. For real-time motion tracking surrounding a user, we estimate each joint position in the human body using a combination of a depth sensor and a wand-type physical user interface, which is necessary to convert gyroscope and acceleration values into positional data. Additionally, we construct virtual contents and evaluate the validity of results related to hybrid sensing-based whole-body tracking of human motion methods used to compensate for the occluded areas.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.383-387
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• 2020

This paper studies the GUI design of motion-sensing game character selection. The game's GUI plays a role in transferring information in human-computer interaction. The purpose of this game player-oriented GUI design is to optimize the human-computer interaction, make the operation more user-friendly, reduce the user's cognitive burden, and better adapt to the user's operation needs. This paper combines examples to compare and analyze these three games from three aspects: text, color and form. In the existing motion-sensing game games, the character selection GUI has a design feature of high recognition and strong visibility. Finally, suggestions for GUI design of motion-sensing game games are given. It is hoped that in the future, reference materials will be provided for the GUI design of experience game character selection.

• Journal of the Korean Society for Precision Engineering
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• v.30 no.8
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• pp.870-877
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• 2013

There has been much recent research interest in developing numerous kinds of human-machine interface. This field currently requires more accurate and reliable sensing systems to detect the intended human motion. Most conventional human-machine interface use electromyography (EMG) sensors to detect the intended motion. However, EMG sensors have a number of disadvantages and, as a consequence, the human-machine interface is difficult to use. This study describes a muscle volume sensor (MVS) that has been developed to measure variation in the outline of a muscle, for use as a human-machine interface. We developed an algorithm to calibrate the system, and the feasibility of using MVS for detecting muscular activity was demonstrated experimentally. We evaluated the performance of the MVS via isotonic contraction using the KIN-COM$^{(R)}$ equipment at torques of 5, 10, and 15 Nm.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.120.1-120
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• 2001

This paper proposes a prototype of a safe and reliable wheelchair robot with Human Robot Interaction (HRI). Since the wheelchair users are usually the handicapped, the wheelchair robot must guarantee the safety and reliability for the motion while considering users intention, A single color CCD camera is mounted for input user´s command based on human-friendly gestures, and a ultra sonic sensor array is used for sensing external motion environment. We use face and hand directional gestures as the user´s command. By combining the user´s command with the sensed environment configuration, the planner of the wheelchair robot selects an optimal motion. We implement a prototype wheelchair robot, MR, HURI (Mobile Robot with Human Robot Interaction) ...

• Science of Emotion and Sensibility
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• v.20 no.1
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• pp.17-30
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• 2017

Lots of interdisciplinary studies for fusion of high technologes and the other areas of research had been tried in these days. In sports training area, high technologies like a vital sign sensor or an accelerometer were adopted as training tools to improve the performance of the sports players. The purpose of this study is finding the proper locations on the human body for attaching the motion sensors in order to develop a smart sportswear which could be helpful in training players. The rowing was selected as a subject sport as lots of movements of the joint on human body could be seen in rowing motions. The players of rowing could be devided into two weight divisions, the lightweight and the heavyweight. In this study, the change rates of distance between markers on human skin as the players moved were took on the back, the elbow, the hip and the knee area on human body by 3D motion capturing system. The distances between markers and the differences between the lightweight and heavyweight were analyzed. Finally, this study provided the guide lines for designing a motion sensing smart sportswear.

• Journal of Electrical Engineering and Technology
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• v.13 no.5
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• pp.2059-2066
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• 2018

This study explored the feasibility of utilizing an SWCNT-coated fabric sensor for the development of a wearable motion sensing device. The extent of variation in electric resistance of the sensor material was evaluated by varying the fiber composition of the SWCNT-coated base fabrics, attachment methods, number of layers, and sensor width and length. 32 sensors were fabricated by employing different combinations of these variables. Using a custom-built experimental jig, the amount of voltage change in a fabric sensor as a function of the length was measured as the fabric sensors underwent loading-unloading test with induced strains of 30 %, 40 %, and 50 % at a frequency of 0.5 Hz. First-step analysis revealed the following: characteristics of the strain-voltage curves of the fabric sensors confirmed that 14 out of 32 sensors were evaluated as more suitable for measuring human joint movement, as they yield stable resistance values under tension-release conditions; furthermore, significantly stable resistance values were observed at each level of strain. Secondly, we analyzed the averaged maximum, minimum, and standard deviations at various strain levels. From this analysis, it was determined that the two-layer sensor structure and welding attachment method contributed to the improvement of sensing accuracy.