• Korean Journal of Computational Design and Engineering
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• v.18 no.4
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• pp.290-298
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• 2013

A walking navigation system (usually known as a locomotion interface) is an interactive platform which gives simulated walking sensation to users using sensed bipedal motion signals. This enables us to perform navigation tasks using only bipedal movement. Especially, it is useful for the certain VR task which emphasizes on physical human movement, or accompanies understanding of the size and complexity of building structures. In this work, we described system components of VR walking system and investigated several types of walking platform by literature survey. We adopted a MS Kinect depth sensor for the motion recognition and a treadmill which includes directional turning mechanism for the walking platform. Through the integration of these components with a VR navigation scenario, we developed a simple VR walking navigation system. Finally several technical issues were found during development process, and further research directions were suggested for the system improvement.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.11a
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• pp.43-44
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• 2010

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2011.06a
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• pp.395-396
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• 2011

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.5
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• pp.610-616
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• 2004

In the research of biomechanical engineering, robotics and neurophysiology, to clarify the mechanism of human bipedal walking is of major interest. It serves as a basis of developing several applications such as rehabilitation tools and humanoid robots. Nevertheless, because of complexity of the neuronal system that interacts with the body dynamics system to make walking movements, much is left unknown about the details of locomotion mechanism. Researchers were looking for the optimal model of the neuronal system by trials and errors. In this paper, we applied Genetic Programming to induce the model of the nervous system automatically and showed its effectiveness by simulating a human bipedal walking with the obtained model.

• Korean Journal of Acupuncture
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• v.21 no.3
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• pp.77-88
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• 2004

Acupuncture has been shown to have therapeutic effects on many mental disorders such as depression, anxiety, and substance abuse in human and animal studies. Maternal separation (MS) is a risk factor in the development of mood-related disorders such as depression. This study investigated the effects of acupuncture during MS by evaluating locomotion as behavioral markers of depression and by observing changes in c-Fos expression in the limbic system (hippocampus, amygdala and cingulate cortex) to elucidate the mechanism of the therapeutic effect. The employed acupoint, Shinmun (HT7), has been clinically used to treat mental disorders. MS for 7 days beginning on postnatal day 14 induced a significant decrease in locomotion, while acupuncture treatment at acupoint HT7 resulted in a significant increase in locomotion. c-Fos immunoreactive cells in area dentate gyrus (DG) of the hippocampus were increased in the MS group, but significantly decreased in the acupuncture group. These findings suggest that acupuncture has an effect on the depression-like disorder caused by MS, possibly by modulating c-Fos expression in DC of the hippocampus.

• Journal of the Korea Institute of Military Science and Technology
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• v.18 no.3
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• pp.309-315
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• 2015

This paper presents a lower-limb exoskeleton testbed and its control method. An exoskeleton is a wearable robotic system that can enhance wearer's muscle power or assist human's movements. Among a variety of its applications, especially for military purpose, a wearable robot can be very useful for carrying heavy loads during locomotion by augmenting soldiers' mobility and endurance. The locomotion test on a treadmill was performed up to maximum 4km/h walking speed wearing the lower-limb exoskeleton testbed with a 45kg backpack load.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1996.06b
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• pp.13-17
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• 1996

This paper presents animation techniques and issues involved in virtual environments where the participants interact with each other through a network. The state of the participant should be recognized at each local site, and broadcast to the other sites. Because information exchange is minimal, animation techniques are applied to convert the incoming low DOF parameters into high DOF joint angles that completely determine the configuration of the agents at each frame. As a case study, a software system VRLOCO is introduced, which has been developed by the author over the last five years. From a simple stream of body center positions, VRLOCO generates realistic curved path human locomotion in real-time. Based on the heading direction and speed, the locomotion automatically switches among five different primitives: walking, running, lateral stepping, backward stepping, and turnaround. The techniques presented here proved robust and faithful: the algorithm is not sensitive to the noise in the data, and the resulting animation conforms well with the original data.

• The Journal of Korea Robotics Society
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• v.7 no.3
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• pp.216-221
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• 2012

Recently, although the need of marine robots being raised in extreme areas, the basis is very deficient. Fortunately, as the robot competition is vitalizing and the need of the robot education is increasing, it is desirable to establish the basis of the R&D and industrialization of marine robots and to train professionals through the development and diffusion of marine robot kits. However, in conventional case, there is no remotely operated aerial robot-kit based on the balloon for the marine robot competition, which has the abilities of the airborne locomotion and obstacle avoidance. To solve this problem, an aerial robot-kit which has the abilities of the airborne locomotion and remote control, is developed. To verify the performance of the developed kit, test and evaluation such as surge, yaw and pitch is performed. The test and evaluation results show that the possibility of the real applications of the developed kit.

• Language and Information
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• v.3 no.1
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• pp.39-63
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• 1999

Korean manner-of-motion verbs have different characteristics from locomotion verbs syntactically and semantically, and they are aptly encoded as having the primitive semantic element MOVE, not GO of Jackendoff(1990)'s Conceptual Semantics framework. This point is shown on the basis of their behavior, the inability to take the Goal 'NP-lo' phrases, the Purposive 'S-le' clauses, the 'NP-ey' phrases, and the atelic interpretation. It is further shown that the apparent locomotion verb behavior of some manner-of-motion verbs, 'exocentric' phenomenon in their meaning composition, is merely a transferred aspect of manner-of-motion verbs. Three kinds of strategies, transformational, quasi-transformational, and lexical ones, are examined to describe this phenomenon, and the lexical one is determined to be the most appropriate. The remaining part of this paper pursues the possibility of adopting Tenny's(1987, 1994) 'Aspectual Interface Hypothesis' in establishing an argument linking system with special attention to 'measuring-out', but concludes that the hypothesis can be accepted only in a restricted part of verbs, and with a modified notion of measuring-out like Jackendoff's(1996).

• Journal of the Korean Society for Precision Engineering
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• v.22 no.3 s.168
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• pp.170-178
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• 2005

The purpose of this study is to develop a gait-event detection system, which is necessary for the cycle-to-cycle FES control of locomotion. Proposed gait event detection system consists of a signal measurement part and gait event detection part. The signal measurement was composed of the sensors and the LabVIEW program for the data acquisition and synchronization of the sensor signals. We also used a video camera and a motion capture system to get the reference gait events. Machine learning technique with ANN (artificial neural network) was adopted for automatic detection of gait events. 2 cycles of reference gait events were used as the teacher signals for ANN training and the remnants ($2\sim5$ cycles) were used fur the evaluation of the performance in gait-event detection. 14 combinations of sensor signals were used in the training and evaluation of ANN to examine the relationship between the number of sensors and the gait-event detection performance. The best combinations with minimum errors of event-detection time were 1) goniometer, foot-switch and 2) goniometer, foot-switch, accelerometer x(anterior-posterior) component. It is expected that the result of this study will be useful in the design of cycle-to-cycle FES controller.