• Journal of Nutrition and Health
• /
• v.25 no.7
• /
• pp.656-667
• /
• 1992

This study was designed to investigate the effect of environmental an d physiological factors on bone mineral density(BMD) of the lumbar spine(L2longrightarrowL4) in 41 postmenopausal women. There were a positive relationships between BMD of the lumbar spine and monthly income food expenses pocket money energy expenditure(EXP) per day sociocultural EXP activity intensity time of standing and walking or age at first pregnancy. BMD of the lumbar spine was negatively correlated with age Engel index time of sleeping and sitting number of childbirty and children period of breastfeeding or menopausal period. But there were no significant relationships between BMD and physiological domestic EXP body mass index age at menar-che menstruation cycle or age at menopause. The complex interrelations between BMD and these variables were examined using stepwise multiple regression analysis. From this analysis in subject aged 50~59 years. EXP per body weight physiological EXP age at menopause time of sleeping were positively significant independent predictors of BMD. In subjects aged 60~69 years, . time of walking only and in total subjects. EXP per body weight pocket money were positively significant independent predictors ofBMD. This study suggest that EXP and pocket money are major constituents affection lumbar spine BMD in postmenopausal women.

• The Journal of Korean Physical Therapy
• /
• v.11 no.2
• /
• pp.43-50
• /
• 1999

The purpose of this study was to evaluate the change of the energy consumption when loading to leg of the 60persons who don't have past history of cardiopulmonary and neuromuscular disease, To evaluate the change or energy consumption, heart rate was measured in sitting position for 5minute, during walking for 3minute at for 4.8km on treadmill, and during resting state after walking with 1Kg loading to right ankle, and the other 1Kg loading was added to left ankle and then heart rates were measured in the The results were as follow; 1. PCI value without loading to Ankle were significantly increased compared to 1Kg, and 2Kg. (p<0.05) 2. Female Subjects showed mon increased PCI value in without leading and 2Kg loading compared to male subjects. ( p<0.05) 3. When 1Kg ana 2Ka loading to ankle significantly differences were showed between them. (p<0.05) 4. In the case of 1Kg and 2Kg loading, the difference among age groups was observed and the significant difference among PCI, PCI 1kg, PCI 2kg was showed in the only group that is less than 30 years old. 5. In every PCI condition the difference among height groups was observed and the significant difference among PCI conditions was showed in the only group that is less than 165cm. 6. The difference among weight groups in each PCI condition was not observed, but the significant differences among PCI conditions was showed in every group except the group that h from 60kg to 69kg. These results showed that energy consumption was increased according to loading on the ankle during Sate so weight of orthosis or prosthesis met be considered when choosing them and during gait training with these ones.

• IEMEK Journal of Embedded Systems and Applications
• /
• v.13 no.4
• /
• pp.215-223
• /
• 2018

Recently, as interest of wearable devices has increased, commercially available smart wristbands and applications have been used as a tool for personal healthy management. However most previous studies have focused on evaluating the accuracy and reliability of the technical problems of wearable devices, especially step counts, walking distance, and energy consumption measured from the smart wristbands. In this study, we propose a physical activity evaluation model using classification rules, induced from the associative classification mining approach. These rules associated with five physical activities were generated by considering activities and walking times in target heart rate zones such as 'Out-of Zone', 'Fat Burn Zone', 'Cardio Zone', and 'Peak Zone'. In the experiment, we evaluated the prediction power of classification rules and verified its effectiveness by comparing classification accuracies between the proposed model and support vector machine.

• The Transactions of the Korean Institute of Electrical Engineers P
• /
• v.55 no.2
• /
• pp.83-88
• /
• 2006

This paper proposes a method that minimizes the consumed energy by searching the optimal locations of the mass centers of the biped robot's links using Genetic Algorithm. This paper presents a learning controller for repetitive gait control of the biped robot. The learning control scheme consists of a feedforward learning nile and linear feedback control input for stabilization of learning system. The feasibility of learning control to the biped robotic motion is shown via computer simulation and experimental results with 24 DOF biped walking robot.

• Journal of the Korean Society for Precision Engineering
• /
• v.21 no.5
• /
• pp.188-202
• /
• 2004

This research was designed to investigate biomechanical aspects of the evolution based on the hypothesis of dynamic cooperative interactions between the locomotion pattern and the body shape in the evolution of human bipedal walking The musculoskeletal model used in the computer simulation consisted of 12 rigid segments and 26 muscles. The nervous system was represented by 18 rhythmic pattern generators. The genetic algorithm was employed based on the natural selection theory to represent the evolutionary mechanism. Evolutionary strategy was assumed to minimize the cost function that is weighted sum of the energy consumption, the muscular fatigue and the load on the skeletal system. The simulation results showed that repeated manipulations of the genetic algorithm resulted in the change of body shape and locomotion pattern from those of chimpanzee to those of human. It was suggested that improving locomotive efficiency and the load on the musculoskeletal system are feasible factors driving the evolution of the human body shape and the bipedal locomotion pattern. The hypothetical evolution method employed in this study can be a new powerful tool for investigation of the evolution process.

• Journal of Digital Convergence
• /
• v.13 no.5
• /
• pp.365-374
• /
• 2015

The goal of this study was 1) to compare the physical activity between the normal(NO) and obese (OB) group at baseline and 2) to investigate responses of the physical activity to a 24-week walking exercise program in both groups. A total of 29 middle-aged women was classified NO and OB group based on the BMI($25kg/m^2$). Walking exercise was designed to energy expenditure of 500 kcal per day, with a frequence of 3 days per week for 24 weeks. Body composition(Weight, BMI, BF(%), Hip, WHR) were measured at the baseline and after the walking exercise program(24 week). Physical activity were measured during 24 week for wellness convergence in the digital age. In conclusion, the current findings of this study indicate that 1) physical activity is not difference in both groups at baseline 2) 24-week walking exercise program is an effective means of improving physical activity in both NO and OB groups.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.64 no.1
• /
• pp.136-142
• /
• 2015

In the paper, a design method of knee and pelvis joint in the biped robot is proposed for shock absorption and gravity compensation. Similarly to the human's body, the knee joints of the biped robot support most body weight and get a shock from the landing motion of the foot on the floor. The torque of joint motor is also increased sharply to keep the balance of the robot. Knee and pelvis joints with the spring are designed to compensate the gravity force and reduce the contact shock of the robot. To verify the efficiency of the proposed design method, we develope a biped robot with the joint mechanism using springs. At first, we experiment with the developed robot on the static motions such as the bent-knee posture both without load and with load on the flat ground, and the balance posture on the incline plane. The current of knee joint is measured to analyze the impact force and energy consumption of the joint motors. Also, we observe the motor current of knee and pelvis joints for the walking motion of the biped robot. The current responses of joint motors show that the proposed method has an effect on shock reduction and gravity compensation, and improve the energy efficiency of walking motions for the biped robot.

• Asian-Australasian Journal of Animal Sciences
• /
• v.8 no.1
• /
• pp.59-66
• /
• 1995

Energy obtained by grazing cattle in oil palm plantations is usually used for maintenance of body functions, the construction of body tissues and pregnancy, the synthesis of milk and the conversion to mechanical energy used for activities such as walking, eating and others. In this study, attempt was made to estimate metabolizable energy (ME) requirement of grazing cattle. Models of ME requirement (MER) for maintenance, gain, pregnancy, lactation and activities were developed. ME system and units were used because of wide recognition. Estimation of ME intake in grazing cattle was expressed as MEVI = $14.58{\times}VI{\times}DMD$, and under grazing condition MEVI = $MER_i$. MER was expressed as a function of net energy(NER, MJ) required for the i'th body function. Coefficient of efficiency for conversion of ME into net energy(ki) was adopted from literatures. Quantifying of ME requirement for Kedah-Kelantan cattle under grazing condition was made by using equation MERM = NEM / kn. The estimated values of MER for Kedah-Kelantan cattle is quite reasonable if compared with other estimates as reported in literatures from stall-fed animals. Dynamic MER models for grazing herd was developed in order to estimate ME requirement for maintenance and productions. These ME requirement models can be used for prediction of energy utilization pattern of the herd in the grazing systems.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.15 no.6
• /
• pp.1061-1068
• /
• 2020

This paper presents a system-independent mobile smart shelter using solar energy technology that can be freely installed in various places, such as parks, countryside, event area, construction area and walking tour places where the system power are difficult to use. The proposed smart shelter is equipped with solar power generation and energy storage devices that is combined with IoT technology to collect indoor and outdoor humidity, fine dust and tourist awareness in real time. It is possible to efficiently manage energy by performing the optimal energy operation during the heat- wave, cold-wave situation and the presence of travelers and it is possible to serve as a shelter for as long as possible without system power.

• Journal of People, Plants, and Environment
• /
• v.22 no.2
• /
• pp.219-229
• /
• 2019

This study was carried out to verify the accuracy of fitness tracking devices in monitoring heart rate and energy consumption and to contribute to the development of a forest exercise program that can recommend the intensity and amount of forest exercises based on personal health-related data and provide monitoring and feedback on forest exercises. Among several commercially available wearable devices, Fitbit was selected for the research, as it provides Open API and data collected by Fitbit can be utilized by third parties to develop programs. Fitbit provides users with various information collected during forest exercises including exercise time and distance, heart rate, energy consumption, as well as the altitude and slope of forests collected by GPS. However, in order to verify the usability of the heart rate and energy consumption data collected by Fitbit in forest, the accuracy of heart rate and energy consumption were verified by comparing the data collected by Fitbit and reference. In this study, 13 middle-aged women were participated, and it was found that the heart rate measured by Fitbit showed a very low error rate and high correlation with that measured by the reference. The energy consumption measured by Fitbit was not significantly different from that measured in the reference, but the error rate was slightly higher. However, there was high correlation between the results measured by Fibit and the reference, therefore, it can be concluded that Fitbit can be utilized in developing actual forest exercise programs.