• The Journal of Korea Robotics Society
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• v.5 no.4
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• pp.294-301
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• 2010

In order to produce a convenient robot for the aged and the lower limb disabled, it is needed for the research detecting implicit walking intention and controlling robot by a user's intention. In this study, we developed sensor module system to control the walking- assist robot using FSR sensor and tilt sensor, and analyzed the signals being acquired from two sensors. The sensor module system consisted of the assist device control unit, communication unit by wire/wireless, information collection unit, information operation unit, and information processing PC which handles integrated processing of assist device control. The FSR sensors attached user's the palm and the soles of foot are sensing force/pressure signals from these areas and are used for detecting the walking intention and states. The tilt sensor acquires roll and pitch signal from area of vertebrae lumbales and reflects the pose of the upper limb. We could recognize the more detailed user's walking intention such as 'start walking', 'start of right or left foot forward', and 'stop walking' by the combination of FSR and tilt signals can recognize.

• Science of Emotion and Sensibility
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• v.13 no.3
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• pp.441-448
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• 2010

In the aging society, the walking assist robot is a necessary device for being able to help the older and the lower limb disabled people to walk. In order to produce a convenient robot for the older and the lower limb disabled, it is needed for the research to detect the implicit walking intention and to control robot by a user's intention. This study is a previous study to develop the detection model of the walking intention and analyze the user's walking intention while a person is walking with Lofstrand crutches, by the combination of FSR and tilt signals. The FSR sensors attached user's the palm and the soles of foot are sensing force/pressure signals from these areas and are used for detecting the walking intention and states. The tilt sensor acquires roll and pitch signal from area of vertebrae lumbales and reflects the pose of the upper limb. We can recognize the user's walking intention such as 'start walking', 'start of right or left foot forward', and 'stop walking' by the combination of FSR and tilt signals can recognize.

• Journal of the Korea Society of Computer and Information
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• v.19 no.5
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• pp.99-107
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• 2014

In the past decade, Pine & Gilmore set out the vision for a new economic era, the experience economy, in which consumers are in search for extraordinary and memorable experiences. The purpose of this study is to investigate the relationships among walking tourist's experiences, walking tourist satisfaction and revisit intention as the social interest on walking tour has risen. A total of 250 respondents completed a survey. Using structural equation modeling (SEM) technique, the results reveal the effects of Esthetics(indulged in environments) and Escapism(diverging to a new self) that impact on walking tourist satisfaction and on revisit intention indirectly. Overall, finding of this study enhance the theoretical progress on the experiential concept in walking tour and offer important implication for walking tour marketers.

• Journal of Electrical Engineering and Technology
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• v.10 no.6
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• pp.2376-2383
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• 2015

Assistance of the operator’s walking ability while carrying a load is a challenging area in lower limb exoskeletons. We implement an exoskeleton called the Unmanned Technology Research Center Exoskeleton (UTRCEXO), which enables the operator to walk with a load more comfortably. The UTRCEXO makes use of two types of DC motor to assist the hip and knee joints. The UTRCEXO detects the operator’s walking intention including step initiation with insole-type FSRs faster without using any bio-signals and precedes the operator’s step with a reference torque. It not only reduces interaction forces between the operator and the UTRCEXO, but also allows the operator to walk with a load more comfortably. In this paper, we present the UTRCEXO implementing the walking assistance mechanism with interaction force reduction during walking.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.32.2-32
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• 2001

We have developed the power assistive leg called HAL (Hybrid Assistive Leg) which provide the walking aid for walking disorder persons or aged persons without nursing person. We developed HAL-3 by considering some problems of HAL-1,2 which had developed previously. The mechanism of HAL-3 actuator could be simplified and sophisticated by using the harmonic drive. As the control signal of HAL-3 EMG signal was used. We proposed a calibration method to identify parameters which relates the EMG to joint torque by using HAL-3. We could obtain suitable torque estimated by EMG and realize power assist in walking according to the intention of the operator To the remove discomfort for quick motion power assist, the feedforward controller was installed at the beginning of motion ...

• Transactions of the Korean Society of Mechanical Engineers A
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• v.41 no.9
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• pp.825-837
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• 2017

This paper describes a novel type of a walking rehabilitation robot that applies robot technologies to crutches used by patients with walking difficulties in the lower body. The primary features of the developed robot are divided into three parts. First, the developed robot is worn on the patient's chest, as opposed to the conventional elbow crutch that is attached to the forearm; hence, it can effectively disperse the patient's weight throughout the width of the chest, and eliminate the concentrated load at the elbow. Furthermore, it allows free arm motion during walking. Second, the developed robot can recognize the walking intention of the patient from the magnitude and direction of the ground reactive forces. This is done using three-axis force sensors attached to the feet of the robot. Third, the robot can perform a stair walking function, which can change vertical movement trajectories in order to step up and down a single stair according to the floor height. Consequently, we experimentally showed that the developed robot can effectively perform walking rehabilitation assistance by perceiving the walking intention of the patient. Moreover we quantitatively verified muscle power assistance by measuring the electromyography (EMG) signals of the muscles of the lower limb.

• 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.

• Journal of Korean Biological Nursing Science
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• v.19 no.3
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• pp.178-190
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• 2017

Purpose: The present study was designed to examine the impact of socioeconomic, health-related, and health behavioral factors on Korean people's intention to quit smoking. Methods: The subjects were 851 men and 145 women, aged 19 or more who had participated in the 2014 Korea National Health and Nutrition Examination Survey. The intention to quit smoking was categorized as "within 6 months," "after 6 months," or "no intention". The associations of the intention to quit smoking with sociodemographic, health related, and health behavioral factors were examined in a logistic regression. Results: In male smokers, the number of diseases, perceived somatotype, vigorous intensity leisure activity, aerobic physical activity, and smoking intensity had a significant influence on the intention to quit smoking. In female somkers, the economic status, number of diseases, walking activity, and moderate intensity leisure activity were significantly influential on the intention to quit smoking. Conclusion: To increase male smokers' intention to quit smoking, it should be emphasized that smoking is harmful to. Moreover, special attention should be paid to low-educated female smokers to increase their intention to quit smoking.

• Korean Journal of Health Education and Promotion
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• v.28 no.2
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• pp.75-85
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• 2011

Objectives: This study is to identify factors associated with intention to quit smoking among male adult smokers in 13 communities of Korea. Methods: Data from 2010 Community Health Survey (CHS) in 13 communities of Honam region, Korea, were analyzed. Multiple logistic analysis method was used to determine the influence of selected factors on the intention to quit smoking among male smokers. Results: Residential area, smoking amounts per day, exposure to secondhand smoking, past attempts to quit, walking activity, brushing teeth after lunch, and stress were found to be independently associated with intention to quit smoking. Socio-demographic factors including age, marital status, educational level, and monthly income were not associated. Conclusions: Identifying factors associated with intention to quit smoking provides possibilities for shaping effective policies and programs for increasing smoking cessation in Korea.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.38 no.8
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• pp.837-848
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• 2014

This paper describes the development of a walking assistive robot for effective self-rehabilitation for elderly people facing an inconvenience in walking. The main features of the developed robot are enhanced safety and mobility using the baby walker and electric wheelchair mechanisms and an accurate walking tracking control algorithm using potentiometers and stereo cameras. Specifically, a pelvis supporter is designed to prevent the user from falling down and reduce the burden on their legs, and electric motors are used for easy locomotion with low effort. Next, the walking intention and direction of the user are automatically recognized by using potentiometers attached at the pelvis supporter so that the robot can track the user, and the rapidity and accuracy of the tracking were increased by applying a lower-body motion analysis algorithm with stereo cameras. Finally, the user-tracking performance of the developed robot was experimentally verified through stepwise walking assistance experiments.