• Journal of rehabilitation welfare engineering & assistive technology
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• v.10 no.3
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• pp.199-206
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• 2016

Most Koreans walk having their toes in or out, because of their sedentary lifestyles. In addition, using smartphone while walking makes having a desirable walking posture even more difficult. The goal of this study is to make a simple system which easily analyze and inform any person his or her personal walking habit. To discriminate gait patterns, we developed a gait monitoring system using a 3-axis accelerometer and a foot pressure monitoring system. The developed system, with an accelerometer and a few pressure sensors, can acquire subject's foot pressure and how tilted his or her torso is. We analyzed the relationship between type of gate and sensor data using this information. As the result of analysis, we could find out that statistical parameters like standard deviation and root mean square are good for discriminating among torso postures, and k-nearest neighbor algorithm is good at clustering gait patterns. The developed system is expected to be applicable to medical or athletic fields at a low price.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.12
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• pp.1106-1113
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• 2013

For patients who have senile mental disorder such as dementia, quantity of excercise and amount of sunlight are important clue for dose and the treatment. Therefore, monitoring health information of daily life is necessary for patients' safety and healthy life. Portable & wearable sensor device and server configuration monitoring data are needed to provide these services for patients. Watch-type device(smart watch) which patients wear and server system are developed in this paper. Smart watch developed includes GPS, accelerometer and illumination sensor, and can obtain real time health information by measuring the position of patients, quantity of exercise and amount of sunlight. Server system includes the sensor data analysis algorithm and web server that doctor and protector can monitor through sensor data acquired from smart watch. The proposed data analysis algorithm acquires quantity of exercise information and detects step count in patients' motion acquired from acceleration sensor and to verify this, the three cases with fast pace, slow pace, and walking pace show 96% of the experimental result. If developed u-Healthcare System for dementia patients is applied, more high-quality medical service can be provided to patients.

• 월간낙농육우
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• v.18 no.10 s.198
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• pp.84-85
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• 1998

낙농업이 당면한 최대의 위기, 최대의 피해자이며 이 위기 타개를 위해 가장 큰 역할을 해야할 당사자는 바로 낙농가들이다. 오늘날 현 낙농 위기가 국내 낙농업을 한걸음 더 발전시킬수 있는 전화위복의 계기가 될 수 있도록 낙농가$\cdot$정부$\cdot$생산자단체$\cdot$유업체 그리고 낙농업의 모든 이해 당사자가 대단합을 위한 노력이 필요한 때라고 보아진다.

• KOREAN POULTRY JOURNAL
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• v.8 no.3 s.77
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• pp.39-44
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• 1976

우리나라의 양계산업은 생산능률면에서는 크게 발전했으나 유통능률면에서는 거의 제자리 걸음이다. 유통개선이란 유통 그 자체문제해결로 되어지는 것이 아니라 근대 마아케팅 개념에 입각하여 그와 관련된 생산과 소비문제까지도 함께 다룰 때 비로소 달성된다. 생산능률제고는 생산자 스스로의 노력으로 가능하나 유통능률제고는 업계전체의 일관된 노력으로만 가능하다 관련종사자의 의무적 참여에 의하여 시장전체의 수급조정 기능을 수행할 수 있는 유통전담기구의 설치운영이야말로 유통개선의 기본대책이 될 수 있다.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.2
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• pp.127-137
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• 2011

We have developed a wearable device that can convert sensor data into real-time step counts and activity levels. Sensor data on gait were acquired using a triaxial accelerometer. A test was performed according to a test protocol for different walking speeds, e.g., slow walking, walking, fast walking, slow running, running, and fast running. Each test was carried out for 36 min on a treadmill with the participant wearing a portable gas analyzer (K4B2), an Actical device, and the device developed in this study. The signal vector magnitude (SVM) was used to process the X, Y, and Z values output by the triaxial accelerometer into one representative value. In addition, for accurate step-count detection, we used three algorithms: an heuristic algorithm (HA), the adaptive threshold algorithm (ATA), and the adaptive locking period algorithm (ALPA). A regression equation estimating the energy expenditure (EE) was derived by using data from the accelerometer and information on the participants. The recognition rate of our algorithm was 97.34%, and the performance of the activity conversion algorithm was better than that of the Actical device by 1.61%.

• 한국노년학
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• v.29 no.4
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• pp.1577-1589
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• 2009

The purpose of this study was to compare the health status, functional status, and home environment hazards by the fear of falling and explore the factors that contribute to the fear of falling. This was a descriptive study. Data were collected for two years with 973 older adults who enrolled in a health center at A city. Trained nurses visited subjects' home and collected data using Resident Assessment Instrument MDS-HC. The average age of the subjects was 76.8 (±7.6) and female was 74.8%. 20.7% of subjects reported fear of falling. In terms of the fear of falling, two groups were compared. There were significant differences in vision, urinary incontinence, pain that interrupts daily activity, unstable gait, comorbidities, frequency of depressive or anxious sign. The greater the age, IADL and ADL dependency, comorbidities, unstabled gait, the more fear of falling. In conclusion, this study reassured the importance of assessing the major factors related to fear of falling such as age, IADL and ADL, comorbities, gait among older adults. This study will contribute to establish strategies for preventing fall. Reducing the fear of falling through the comprehensive nursing intervention will ultimately improve the quality of life in the elderly.

• Journal of Advanced Navigation Technology
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• v.26 no.5
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• pp.365-372
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• 2022

Compared to sensors mainly used in human activity recognition (HAR) systems, inertial measurement unit (IMU) sensors are small and light, so can achieve lightweight system at low cost. Therefore, in this paper, we propose a binary neural network (BNN) based gait pattern analysis system using IMU sensor, and present the design and implementation results of an FPGA-based accelerator for computational acceleration. Six signals for gait are measured through IMU sensor, and a spectrogram is extracted using a short-time Fourier transform. In order to have a lightweight system with high accuracy, a BNN-based structure was used for gait pattern classification. It is designed as a hardware accelerator structure using FPGA for computation acceleration of binary neural network. The proposed gait pattern analysis system was implemented using 24,158 logics, 14,669 registers, and 13.687 KB of block memory, and it was confirmed that the operation was completed within 1.5 ms at the maximum operating frequency of 62.35 MHz and real-time operation was possible.

• 건축구조
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• v.11 no.2
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• pp.23-29
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• 2004

우리회는 한국기술사회건축구조분회로 출발하여 2년 전 유병억 회장님시절 개인사업자등록증을 발급받아 구조분회가 아닌 개인 사업체로서 한걸음 진일보하였다가 작년에야 비로서 우리의 숙원이었던 과학기술부 산하 사단법인체로 등록되면서 명실공히 사단법인 한국건축구조기술사회로 위상을 한단계 격상함으로서 합법적으로 정부로부터 인가받은 단체로 발돋음하였다. 그동안 건축구조안전에 대한 문제점을 알고 있었으나, 정부와의 어떠한 합법적이고 독립적인 통로가 없어 제대로된 의견개진을 할 수 없었던 상황에서 이제는 올바른 통로를 확보한 첫 걸음이라고 판단된다. 아직도 우리가 헤쳐나아가야 할 길은 멀고도 험난한 상황임을 잊지말고 끈기있는 인내심과 중단없는 전진을 통해 하나씩 건축물의 구조안전을 확보하기 위한 방안을 위해 지속적으로 노력을 하였으면 한다. 올해 2월 정기총회를 통해 사단법인으로 처음 출발하면서 이동헌회장님을 비롯한 신임회장단이 선출되었고, 그 장도의 첫발을 내딛으면서 앞으로 우리가 어떤 목표를 견지하여야 할 것인가에 대해 의식고취 및 앞으로의 방향설정을 위해 지난해 3월 건설교통부에서 발족한 건설교통안전기획단의 검토 내용에서 발췌한 현행 실태와 문제점 및 대책 중에서 건축물의 구조안전과 관련된 문제점을 다시 한번 되새기면서 우리의 목표와 방향을 점검하는 계기가 되었으면 한다.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.55 no.9
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• pp.420-422
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• 2006

This paper proposes a new method to count the number of steps for personal navigation systems. The proposed method resolves the mis-counting problem caused by the variation of the ground and walking behavior. To this end, a 2-axis accelerometer is utilized and a reliable step counting algorithm is developed. Experimental test was carried out to show the effectiveness of the proposed method. Test results show that the proposed method gives a robust performance for several types of ground and walking behavior.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.8 no.2
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• pp.133-138
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• 2014

In this paper, a simple but efficient gait recognition method using spatial-temporal silhouette analysis is proposed. For each image sequence, a background subtraction algorithm and a PBAS(pixel based adaptive segmenter) procedure are first used to segment the moving silhouettes of a walking figure. Then, to identify people, the step count and stride length of walking figure is obtained in silhouette images. Experimental results on a CASIA dataset including 124 subjects demonstrate the validity of the proposed method. Also, the proposed system are believed to have a sufficient feasibility for the application to gait recognition.