• Journal of KIISE:Software and Applications
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• v.37 no.5
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• pp.354-362
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• 2010

This paper proposes a new method for a hierarchical analysis of human gait by dividing the motion into gait direction and gait posture using the tool of dynamic Bayesian network. Based on Factorial HMM (FHMM), which is a type of DBN, we design the Gait Motion Decoder (GMD) in a circular architecture of state space, which fits nicely to human walking behavior. Most previous studies focused on human identification and were limited in certain viewing angles and forwent modeling of the walking action. But this work makes an explicit and separate modeling of pedestrian pose and posture to recognize gait direction and detect orientation change. Experimental results showed 96.5% in pose identification. The work is among the first efforts to analyze gait motions into gait pose and gait posture, and it could be applied to a broad class of human activities in a number of situations.

• Journal of Korean Society of societal Security
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• v.4 no.2
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• pp.41-48
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• 2011

Pedestrian environment not only affects the quantitative degree in pedestrian movement, but also an impact on the local economics and environment that speaks within the greater dialogue of the qualitative life in an urban context. Recent urban planning issues have matured from a linear street development to a conversion of pedestrian friendly streets that synchronizes the entire pedestrian movement structures as a whole. Subject cases, Myung-Dong and Kwanchul-Dong, were selected from time regulated pedestrian streets in Seoul. Analysis of these streets was done through field studies and interviews. From the research, the outcome was helpful in providing the developers a greater perspective with the pedestrian movement structure that is not confined to a certain parameter, but in a larger scale within the urban environment. It was also useful in justifying ambiguous locations of pedestrian-only streets and crosswalks. Also, It aided in planning optimal scheme that concurs with the predictable pedestrian movement.

• Journal of the Earthquake Engineering Society of Korea
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• v.5 no.1
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• pp.21-29
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• 2001

주차장, 버스터미널, 스타디움, 집회공간과 같은 낮은 고유진동수를 갖는 장경간 건축물에서는 저속 차량의 이동하중이나 보행자의 보행하중과 같은 동적하중에 의해 과도한 바닥판 진동이 발생할 수 있으며 이러한 진동은 건축물의 이용자에게 불쾌감을 일으켜 건축물의 사용성에 심각한 영향을 주게된다. 구조물에 가해지는 보행하중의 일반적인 적용방법은 분할된 요소의 절점을 따라 절점하중으로 가하는 것이다. 그러나 이러한 해석모델은 보행하중을 절점에만 가해야하는 제한적인 문제점을 가지고 있어 보폭 수만큼 절점을 생성시켜야 하며 보폭이 변하거나 절점이외에 하중이 작용할 경우 해석모델을 수정해야하는 번거로움이 있다. 본 연구에서는 보행하중에 대한 계측과 분석을 통하여 보행하중의 동적특성을 분석하였으며 계측한 보행하중을 예제구조물에 적용하였다. 그리고 보행하중에 의한 구조물 진동의 효율적인 해석을 위하여 구조물에 가해지는 보행하중을 등가의 절점하중으로 치환하는 방법을 제안하였으며 제안된 등가절점 하중의 타당성을 검증하기 위하여 예제구조물의 진동해석을 수행하였다.

• The Journal of the Korea Contents Association
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• v.13 no.10
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• pp.444-451
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• 2013

The purpose of this study was to investigate the changes in temporospatial variables in healthy elderly and healthy adults during usual walking, narrow base walking and centerline-guided walking. Twenty healthy elderly and nineteen healthy adults were participated in this study. In each conditions, the subjects were walked on a 6m walkway at comfortable self-selected speeds under three conditions : (1) usual walking, (2) walking within a 50% of the distance between the subject's ASIS (3) walking along a centerline. GAITRite system was used for kinematic analysis to assess the temporospatial variables. There were no significant changes in healthy adults(p>.05), but walking speed, cadence, H-H base support, functional ambulation performance were significantly decreased progressively as pathway narrowed in elderly adults(p<.05). The results show that elderly people had more difficulty with walking on narrow pathway for fear of falling. This study provides data for use in basic research into safe walking and preventing falling for elderly.

• Journal of Software Assessment and Valuation
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• v.17 no.2
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• pp.83-89
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• 2021

In this paper, we propose an algorithm that provide services to consumers who want to conduct business by scientifically and systematically analyzing the number of pedestrians in a specific area over a specific period of time. In this paper, we proposed the algorithm to analyze the commercial area using the pedestrian-detect algorithm in the particular region using YOLO, one of the deep learning techniques. And with one image per minute in the images, the number of pedestrians is identified and this information is used for the analysis of business district on interesting area and time, systematically and objectively.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.6
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• pp.45-52
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• 2023

Recently, as the importance of walking in daily life has been emphasized, projects to guarantee walking rights and create a pedestrian environment are being promoted throughout the region. In previous studies, a pedestrian environment assessment was conducted using Jeonju-si road images, and an image comparison pair data set was constructed. However, data sets expressed in numbers have difficulty in generalizing the judgment criteria of pedestrian environment assessors or visually identifying the pedestrian environment preferred by pedestrians. Therefore, this study proposes a method to interpret the results of the pedestrian environment assessment through data visualization by building a web application. According to the semantic segmentation result of analyzing the walking environment components that affect pedestrian environment assessors, it was confirmed that pedestrians did not prefer environments with a lot of "earth" and "grass," and preferred environments with "signboards" and "sidewalks." The proposed study is expected to identify and analyze the results randomly selected by participants in the future pedestrian environment evaluation, and believed that more improved accuracy can be obtained by pre-processing the data purification process.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.113-116
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• 2007

본 논문은 인간의 보행에 대한 에너지 분석을 통해 biped robot의 설계 단계에서 최적의 보행제어인자를 추출하기 위한 연구이다. 에너지 효율이 높은 보행인자 값을 얻기 위해 인간의 보행영상을 획득하고, 획득된 영상을 5-link biped robot model로 근사화하여 dynamics와 energy를 분석한다. 또한 link의 길이 비율과 link의 무게, link의 관성의 변화를 통해 5-link로 근사화된 인간의 보행 효율과 기구적 요소 사이의 민감도를 판단할 수 있다. 인간과 자유도가 다른 biped robot이 인간과 같은 보행을 위하여 설계단계에서 고려되어야할 중요한 기구적 요소가 이러한 민감도를 통해 구해진다.

• Journal of Korean Society of Transportation
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• v.32 no.6
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• pp.615-627
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• 2014

In this study, nonhierarchical K-mean cluster analysis is used to classify the types of 230 local governments and the Mann-Whitney U test and Kruskal-Wallis analysis are used to analyze the characteristics of pedestrian accidents by region types. With empirical analysis of pedestrian accidents, this study suggests improvements of walking environments reflecting local characteristics. Type 1-A (relatively dominant urban commercial areas), Type 1-B (predominantly urban residence) and Type 2 (rural areas) have been classified using nonhierarchical K-mean cluster analysis. According to the results, pedestrian accident rate on community roads was more than 60% for all types and incidence rate in rural areas was higher than that in urban areas. In addition, pedestrian accidents of Type 1-B have been found to occur more frequently than Type 2 in intersections and crossings, while the number of roadside casualties for Type 2 was highest.

• Smart Media Journal
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• v.1 no.2
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• pp.12-22
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• 2012

Today we are witnessing an increasingly widespread use of cameras in our lives for video surveillance, robot vision, and mobile phones. This has led to a renewed interest in computer vision in general and an on-going boom in human activity recognition in particular. Although not particularly fancy per se, human gait is inarguably the most common and frequent action. Early on this decade there has been a passing interest in human gait recognition, but it soon declined before we came up with a systematic analysis and understanding of walking motion. This paper presents a set of DBN-based models for the analysis of human gait in sequence of increasing complexity and modeling power. The discussion centers around HMM-based statistical methods capable of modeling the variability and incompleteness of input video signals. Finally a novel idea of extending the discrete state Markov chain with a continuous density function is proposed in order to better characterize the gait direction. The proposed modeling framework allows us to recognize pedestrian up to 91.67% and to elegantly decode out two independent gait components of direction and posture through a sequence of experiments.

• Journal of Korean Orthopaedic Sports Medicine
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• v.8 no.2
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• pp.76-82
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• 2009

Purpose: The purpose of this study was to analyze the clinical result and the gait patterns for patients who had undergone the arthroscopic posterior cruciate ligament (PCL) reconstruction using Achilles allograft. Materials and Methods: Among the patient who had undergone the arthroscopic PCL reconstruction using fresh-frozen Achilles allograft between March 2004 to March 2005, we selected 12 patients who compliance to our rehabilitation program. Clinical result and gait analysis were carried out at 36 months postoperatively. There were measured by using range of motion (ROM), Lysholm knee score, Tegner activity score, IKDC score, posterior stress test, and posterior translation measured by using Telos stress arthrometer. Kinematic gait analysis was carried out using 3-dimensional gait analysis system. Results: The PCL reconstruction surgery yielded statistacally significant results in all of clinical evaluation. In gait analysis, the average knee flexion angle increased during stance phase and decreased during the swing phase, but was not statistically significant and there were no significant difference between both sides of their knees overall. Conclusion: Since there was no statistically significant difference between the injured and uninjured sides as a result of the gait evaluation of the patients who had arthroscopic reconstruction surgery on their PCL injured knee and conformed to the rehabilitation program, systemic and strict rehabilitation ought to be important in the reconstruction surgery.