• PNF and Movement
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• v.5 no.1
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• pp.37-47
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• 2007

Objective : A large proportion of stroke survivors have to deal with problems in gait. Proper evaluation of gait must be undertaken to understand the sensorimotor impairment underlying locomotor disorders post stroke. Methods : The characteristics of gait pattern with post stroke are reviewed in this paper. In particular, temporal distance parameters, kimematics, kinetics, as well as energy cost, EMG are focused. Results : The technology for gait analysis is moving rapidly. The techniques of 3D kinematic and kinetic analysis can provide a detailed biomechanical description of normal and pathological gait. This article reviews gait analysis method and characteristics of post stroke. Finally current method of gait analysis can provide further insight to understand paretic gait and therapeutic direction.

• Proceedings of the KIEE Conference
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• summer
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• pp.974-976
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• 2004

현대 정보사회는 교통수단의 발달과 더불어, 휴대용 기기의 급속적인 발전을 가져왔다. 따라서, 휴대용 기기의 전원에 관한 많은 연구가 진행되고 있다. 그러나 여전히 시간적 제약을 받는 배터리에 대부분의 휴대용 기기가 의존하고 있다. 이에 본 연구에서는 사람들이 동작하는 동안 항상 버려지는 체중에 의한 에너지를 이용한 발전장치를 설계하였다. 이 발전장치는 외력을 주었을 때, 대전압${\cdot}$소전류를 발생하는 평판형 압전소자의 특성을 이용한 장치이다.

• Journal of Integrative Natural Science
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• v.12 no.1
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• pp.14-19
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• 2019

In this paper, we propose a system for controlling the brightness of street lights by predicting pedestrian paths, identifying the position of pedestrians with motion sensing sensors and obtaining motion vectors based on past walking directions, then predicting pedestrian paths through the route prediction smart street lighting system. In addition, by using motion vector data, the pre-treatment process using linear interpolation method and the fuzzy system and neural network system were designed in parallel structure to increase efficiency and the rough set was used to correct errors. It is expected that the system proposed in this paper will be effective in securing the safety of pedestrians and reducing light pollution and energy by predicting the path of pedestrians in the detection of movement of pedestrians and in conjunction with smart street lightings.

• Clinical Pain
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• v.19 no.2
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• pp.111-115
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• 2020

We report a case of a healthy 38-year-old man presenting with insufficiency fracture of proximal tibia associated with unrecognized osteoporosis. Radiologic bone DEXA (Dual Energy X-ray Absorptiometry) assessment revealed osteoporosis, but the patient displayed no apparent risk factors for insufficiency fractures and osteoporosis except for a history of smoking. Following right proximal tibial open reduction and internal fixation, the patient commenced smoking cessation and began taking alendronate. The patient was treated for gait rehabilitation, which included quadriceps strengthening exercises and his condition improved with independent walking. This report highlights an unusual site of proximal tibial insufficiency fractures and the potential effect of smoking on low bone mineral density in a young male patient.

• Journal of the Korean Society of Marine Environment & Safety
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• v.21 no.1
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• pp.47-56
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• 2015

Under the conditions of invested actual changes of heeling angles during MV Sewol's sinking, this study proposes passengers' evacuation scenarios, which are based on the assumption of normal orders of evacuation being given to the passengers, and evaluates using a marine-specialized human evacuation simulation tool. As results, when the heeling angle is set as 0 degree or 30 degree, it is found out that almost every passengers can success to evacuate to the musterstations, even though the evacuation times are different depending on the scenarios and the walking speeds. Meanwhile, when the heeling angle is varied as the Sewol incident, 3.1 %(Scenario Sc-Va which set chutes on port side as evacuation routes), 11.1 %(Sc-Vb, every open decks of port side as evacuation routes) and 20.0 %(Sc-Vc, every open decks of port and AFT sides as evacuation routes) among 476 passengers can successfully reach to the musterstations from their cabins with the condition of average walking speed as 2.04 m/s on flat. And only 0.8 %(Sc-Va), 3.8 %(Sc-Vb) and 10.7 %(Sc-Vc) can success to evacuate with the condition of average walking speed as 1.48 m/s on flat.

• Korean Journal of Community Nutrition
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• v.22 no.5
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• pp.413-425
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• 2017

Objectives: Accurate assessment of energy expenditure is important for estimation of energy requirements in athletic children. The objective of this study was to evaluate the accuracy of accelerometer for prediction of selected activities' energy expenditure and intensity in athletic elementary school children. Methods: The present study involved 31 soccer players (16 males and 15 females) from an elementary school (9-12 years). During the measurements, children performed eight selected activities while simultaneously wearing the accelerometer and carrying the portable indirect calorimeter. Five equations (Freedson/Trost, Treuth, Pate, Puyau, Mattocks) were assessed for the prediction of energy expenditure from accelerometer counts, while Evenson equation was added for prediction of activity intensity, making six equations in total. The accuracy of accelerometer for energy prediction was assessed by comparing measured and predicted values, using the paired t-test. The intensity classification accuracy was evaluated with kappa statistics and ROC-Curve. Results: For activities of lying down, television viewing and reading, Freedson/Trost, Treuth were accurate in predicting energy expenditure. Regarding Pate, it was accurate for vacuuming and slow treadmill walking energy prediction. Mattocks was accurate in treadmill running activities. Concerning activity intensity classification accuracy, Pate (kappa=0.72) had the best performance across the four intensities (sedentary, light, moderate, vigorous). In case of the sedentary activities, all equations had a good prediction accuracy, while with light activities and Vigorous activities, Pate had an excellent accuracy (ROC-AUC=0.91, 0.94). For Moderate activities, all equations showed a poor performance. Conclusions: In conclusion, none of the assessed equations was accurate in predicting energy expenditure across all assessed activities in athletic children. For activity intensity classification, Pate had the best prediction accuracy.

• Journal of Nutrition and Health
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• v.50 no.6
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• pp.552-564
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• 2017

Purpose: The purpose of this study was to measure energy expenditure (EE) the metabolic equivalents (METs) of 13 common physical activities by using a portable telemetry gas exchange system ($K4b^2$) and to assess the accuracy of the accelerometer (Actigraph $GT3X^+$) by gender in Korean adults. Methods: A total of 109 adults (54 males, 55 females) with normal BMI (body mass index) participated in this study. EE and METs of 13 selected activities were simultaneously measured by the $K4b^2$ portable indirect calorimeter and predicted by the $GT3X^+$ Actigraph accelerometer. The accuracy of the accelerometer was assessed by comparing the predicted with the measured EE and METs. Results: EE (kcal/kg/hr) and METs of treadmill walking (3.2 km/h, 4.8 km/h and 5.6 km/h) and running (6.4 km/h) were significantly higher in female than in male participants (p < 0.05). On the other hand, the accelerometer significantly underestimated the EE and METs for all activities except descending stairs, moderate walking, and fast walking in males as well as descending stairs in females. Low intensity activities had the highest rate of accurate classifications (88.3% in males and 91.3% females), whereas vigorous intensity activities had the lowest rate of accurate classifications (43.6% in males and 27.7% in females). Across all activities, the rate of accurate classification was significantly higher in males than in females (75.2% and 58.3% respectively, p < 0.01). Error between the accelerometer and $K4b^2$ was smaller in males than in females, and EE and METs were more accurately estimated during treadmill activities than other activities in both males and females. Conclusion: The accelerometer underestimated EE and METs across various activities in Korean adults. In addition, there appears to be a gender difference in the rate of accurate accelerometer classification of activities according to intensity. Our results indicate the need to develop new accelerometer equations for this population, and gender differences should be considered.

• Korean Journal of Community Nutrition
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• v.19 no.5
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• pp.479-489
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• 2014

Objectives: This study intended to determine significant factors that influence the health-related quality of life ("HRQoL"; EuroQol 5 Dimension health-related quality of life (EQ_5D) & EuroQol visual analogue scale (EQ_VAS)) of the elderly in Korea. Methods: This study was based on 3,903 subjects aged 65 years or more who participated in the Fifth Korea National Health and Nutrition Examination Survey (KNHANES V), 2010~2012. The HRQoL was analyzed by various factors (general characteristics, health habits, mental health, chronic diseases, nutrient intakes). SPSS statistics for complex samples (Windows ver. 21.0) was used. Results: The HRQoL was higher in the males, those with higher educational level or higher income level while it was lower in those belong to single households. In particular, the EQ_5D was significantly higher in the group who reported walking practice, moderate physical activity (male), and the group who reported no vigorous physical activity (female). The EQ_VAS was significantly higher in the group who reported walking practice. Both EQ_5D and EQ_VAS were significantly lower in the group with stress, melancholy, suicidal thinking, and osteoarthritis. EQ_5D was significantly lower in the group with < 75% Estimated Energy Requirements (EER) in energy intake, and with < Estimated Average Requirements (EAR) in iron or niacin intake. A stepwise regression analysis revealed that i) higher educational level (male), and good self-rated health status significantly increased the EQ_5D, ii) age, alcohol intake (male), melancholy (female), suicidal thinking, osteoarthritis, and niacin intake deficiency (male) significantly decreased the EQ_5D, iii) higher income level (male) and good self-rated health status significantly increased the EQ_VAS, and iv) age (male), stress, suicidal thinking (female) and osteoarthritis significantly decreased the EQ_VAS. Conclusions: This study suggested that general characteristics, mental health, osteoarthritis, and niacin intake were associated with the HRQoL. Prospective research of long-term control is needed to establish the causal relationship between factors and the HRQoL.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.8-12
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• 2017

This paper presents the mobile phone case for self-power generation and recharge for emergency calls or text messages at the discharge of a battery. If the user shakes his smart phone case, the interaction of electromagnetic coil and permanent magnet in an electric generator produces electric energy, which charges the lithium-ion battery. This enables the user to give a few calls or text messages. In addition, the vibration energy from humans walking at a frequency of 2 ~ 3Hz charges the battery. The electric generator was simulated using MAXWELL, a commercial electromagnetic analysis program, to analyze the electric power generation. Finally a prototype of the mobile phone case for self-power generation was built based on the analysis and its performance was verified.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.6
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• pp.1233-1242
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• 2017

Various attempts have been made to prevent crime risk. One of the cases where outdoor pedestrians are attacked by criminals is the abnormal health condition. When a mental or mental condition that can not sustain normal walking due to drunkenness is exposed, the case of being a crime is revealed through crime case analysis. In this study, we propose a method for estimating the state of an individual that can be detected in outdoor activities. In order to avoid the inconvenience of installing a separate terminal for event information transmission of sensors and sensors, it is possible to estimate an abnormal state by using a 3-axis acceleration sensor built in a smart phone. The state of the user can be estimated by analyzing the momentum of the user and analyzing it with the passage of time. It is possible to distinguish the flow of time at regular intervals, to recognize the activity patterns in each time band, and to distinguish between normal and abnormal. In this study, we have evaluated the total amount of kinetic energy and kinetic energy in each direction of the acceleration sensor and the Fourier transformed value of the total energy amount to distinguish the abnormal state.