• Journal of Sensor Science and Technology
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• v.23 no.6
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• pp.402-408
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• 2014

Heart rate is one of the most important signal to monitor the health condition of the patient or exerciser. Various wearable devices have been developed for the continuous monitoring of ECG signal from human body during exercise. Among these, ECG chest belt has been widely used. However wearing chest belt with ECG sensor is uncomfortable in normal life due to the electrode contact between metal electrodes of ECG sensor and skin of the human body. So we develop the royal healthcare backpack that can measure ECG signal without skin contact by using capacitor-type ECG sensor. The position of the measurement point is critical to collect a clear ECG signal in the capacitive ECG measurement from backpack. Various tests were conducted to find the optimal ECG measurement position which has less noise and could get strong and clear ECG signal during exercise, walking, hiking, mountain climbing and cycling.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.106-109
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• 2003

Many diverse methods have been developing in the field of biometric identification as human-friendliness has been emphasized in the intelligent system's area. One of emerging method is to use human footprint. Automated footprint-based person recognition was started by Nakajima et al.'s research but they showed relatively low recognition result by low spatial resolution of pressure sensor and standing posture. In this paper, we proposed a modified Nakajima's method to use walking footprint which could give more stable toe information than standing posture. Finally, we prove the usefulness of proposed method as 91.4tt recognition rate in 11 volunteers' test.

• ETRI Journal
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• v.40 no.4
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• pp.522-530
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• 2018

In this study, we developed a robotic walker that actively controls its speed and direction of movement according to the user's gait intention. Sensor fusion between a low-cost light detection and ranging (LiDAR) sensor and inertia measurement units (IMUs) helps determine the user's gait intention. The LiDAR determines the walking direction by detecting both knees, and the IMUs attached on each foot obtain the angular rate of the gait. The user's gait intention is given as the directional angle and the speed of movement. The two motors in the robotic walker are controlled with these two variables, which represent the user's gait intention. The estimated direction angle is verified by comparison with a Kinect sensor that detects the centroid trajectory of both the user's feet. We validated the robotic walker with an experiment by controlling it using the estimated gait intention.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.64 no.3
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• pp.187-192
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• 2015

Detecting human in images is a challenging task owing to their variable appearance and the wide range of poses the they can adopt. The first need is a robust feature set that allows the human form to be discriminated cleanly, even in cluttered background under difficult illumination. A large number of vision application rely on matching keypoints across images. These days, the deployment of vision algorithms on smart phones and embedded device with low memory and computation complexity has even upped the ante: the goal is to make descriptors faster compute, more compact while remaining robust scale, rotation and noise. In this paper we focus on improving the speed of pedestrian(walking person) detection using Histogram of Oriented Gradient(HOG) descriptors provide excellent performance and tracking using kalman filter.

• Proceedings of the KSME Conference
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• 2000.04a
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• pp.261-267
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• 2000

A mathematical model was developed to calculate the muscle force of lower extremity during the gait. We constructed a model of human locomotion, which includes a muscle-skeletal system with 7 segments and 16 lower limb muscles. Using a optimization technique, muscle forces variation of the lower extremity during the gait were generated and its result was verified by comparing a experimental results of EMG analysis. Moreover. the walking movement of the model could be compared quantitatively with those of experimental studies in human by inverse dynamics.

• Korean Journal of Human Ecology
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• v.15 no.3
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• pp.449-455
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• 2006

We researched the comfort degree of 8 bodily parts while high school students carry out 9 different motions common to them. We observed high school students to study active effection when they are wearing Saenghwal Hanboks as a school uniform. As a result of this study, the highest degrees of comfort were recorded at standing position, walking, and upright sitting position with one's waist keeping 90 degree. On the other hand, the lowest degrees of comfort were experienced when they bend forward 45 degree and 90 degree each, and also when arms were folded across the chest. Furthermore, students reported that their buttocks, waist, and knees were comfortable during observation period, but that their backs, shoulders, and arm hole were uncomfortable throughout. In general, girls felt more comfortable than boys did, while they were wearing Saenghwal Hanbok as a school uniform.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2013.04a
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• pp.415-418
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• 2013

This paper presents an electromagnetic kinetic energy harvester which is suitable for supplying power for body-worn sensors and personal electric devices. Human motions are investigated by measuring the acceleration signal at each points of the body during walking and running. The dynamic characteristics of the harvester can be calculated from the transfer function of the system. The transduction factor can be calculated from the electromagnetic field analysis by Maxwell software. The prototype of the harvester is designed and manufactured. The theoretical power characteristics are compared with the experiment results.

• Proceedings of the ESK Conference
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• 1994.04a
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• pp.136-144
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• 1994

In this study, the human gait trajectories during normal walking were synthesized using the inverse kinematics and optimization techniques. The synthesis based on a lower extremity model consisting of a torso and two legs. Each leg has three segments: thigh, shank, foot, and is assumed to move with six degrees-of-freedom. In order to synthesize trajectiories of this redundant system, the sum of angular displacements of articulating joints was selected as an objective function to be minimized. The proposed algorithm in this study is very useful for the analysis of human gait. For the gait analysis, the trajectories of four points in each leg should be measured. However, by using the algorithm, measuring the trajectories of two points is sufficient, and thus the experimental set-up can be simplified. The predicted joint trajectories showed a good agreement with those obtained from the experiment. The statistical analysis and graphic simula- tions are also presented.

• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.343-344
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• 2019

본 연구는 기능성 및 일반적 캐쥬얼화간에 빠른보행과 편안한 보행 시 족저 압력에 미치는 영향을 확인하여 보고자 한다. 남성 물리치료사 8명을 대상으로 하루 간격을 두고 동일한 대상에게 일반적 캐쥬얼화와 기능성 캐쥬얼화를 착용하고 10m 편안한 보행과 빠른 보행 동안 족저 악력을 각각 측정하였다. 전체, 1번째 발가락, 2-3번째 발가락, 4-5번째 발가락, 안쪽 중족골, 바깥쪽 중족골, 안쪽 뒷꿈치, 바깥쪽 뒷꿈치로 나누어 분석하여 4 보행 조건(일반적 캐쥬얼화-편안한 보행, 기능성 캐쥬얼화-편안한 보행, 일반적 캐쥬얼화-빠른 보행, 기능성 캐쥬얼화-빠른 보행) 간에 비교하였다. 비교 분석 결과 유의하지 않지만 빠른 보행이 편안한 보행 보다 안쪽 발가락과 뒷꿈치 압력이 증가하는 것으로 볼 때, 기능성 캐주얼화가 일반적 캐쥬얼화보다 보행의 움직임성을 증가시키는 것을 확인할 수 있었다.

• International journal of advanced smart convergence
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• v.12 no.3
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• pp.61-67
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• 2023

Gait analysis plays a key role in the research field of exploring and understanding human movement. By quantitatively analyzing the complexity of human movement and the various factors that influence it, it is possible to identify individual gait characteristics and abnormalities. This is especially true for people with walking difficulties or special circumstances, such as amputee, for example. This is because it can help us understand their gait characteristics and provide individualized rehabilitation plans. In this paper, we compare and analyze the differences in ankle joint motion and angles between normal and amputee. In particular, a filtering process was applied to the ankle joint angle data to obtain high accuracy results. The results of this study can contribute to a more accurate understanding and improvement of the gait patterns of normal and amputee.