• The Journal of the Korea Contents Association
• /
• v.10 no.4
• /
• pp.98-105
• /
• 2010

Health of the people involved in blood sugar, blood pressure, activity, and using bio-sensors to obtain biometric information, the system for monitoring health research for development is a lot. This paper analyzes the bio information by monitoring the u-health care agent system was developed. Activity measurement technology that uses 3-axis accelerometer sensor. 3-axis acceleration sensors, using information obtained from activity to activity analysis to calculate the exact algorithm was developed. More accurate than the existing system to calculate the calorie consumption, it is stored in the database management. and you can check your health status using of activity and bio-information.

• Asian-Australasian Journal of Animal Sciences
• /
• v.29 no.1
• /
• pp.149-156
• /
• 2016

In this experiment, we proposed and implemented a disease forecasting system using a received signal strength indication ZigBee-based wireless network with a 3-axis acceleration sensor to detect illness at an early stage by monitoring movement of experimentally infected weaned piglets. Twenty seven piglets were divided into control, Salmonella enteritidis (SE) infection, and Escherichia coli (EC) infection group, and their movements were monitored for five days using wireless sensor nodes on their backs. Data generated showed the 3-axis movement of piglets (X-axis: left and right direction, Y-axis: anteroposterior direction, and Z-axis: up and down direction) at five different time periods. Piglets in both infected groups had lower weight gain and feed intake, as well as higher feed conversion ratios than the control group (p<0.05). Infection with SE and EC resulted in reduced body temperature of the piglets at day 2, 4, and 5 (p<0.05). The early morning X-axis movement did not differ between groups; however, the Y-axis movement was higher in the EC group (day 1 and 2), and the Z-axis movement was higher in the EC (day 1) and SE group (day 4) during different experimental periods (p<0.05). The morning X and Y-axis movement did not differ between treatment groups. However, the Z-axis movement was higher in both infected groups at day 1 and lower at day 4 compared to the control (p<0.05). The midday X-axis movement was significantly lower in both infected groups (day 4 and 5) compared to the control (p<0.05), whereas the Y-axis movement did not differ. The Z-axis movement was highest in the SE group at day 1 and 2 and lower at day 4 and 5 (p<0.05). Evening X-axis movement was highest in the control group throughout the experimental period. During day 1 and 2, the Z-axis movement was higher in both of the infected groups; whereas it was lower in the SE group during day 3 and 4 (p<0.05). During day 1 and 2, the night X-axis movement was lower and the Z-axis movement was higher in the infected piglets (p<0.05). Overall, the movement of infected piglets was altered, and the acceleration sensor could be successfully employed for monitoring pig activity.

• Transactions on Electrical and Electronic Materials
• /
• v.8 no.6
• /
• pp.293-298
• /
• 2007

The aged are faced with increasing risk for falls. The aged have more fragile bones than others. When falls occur, it is important to detect this emergency state because such events often lead to more serious illness or even death. A implementation of PDA system, for detection of emergency situation, was developed using 3-axis accelerometer in this paper as follows. The signals were acquired from the 3-axis accelerometer, and then transmitted to the PDA through a Bluetooth module. This system can classify human activity, and also detect an emergency state like falls. When the fall occurs, the system generates the alarm on the PDA. If a subject does not respond to the alarm, the system determines whether the current situation is an emergency state or not, and then sends some information to the emergency center in the case of an urgent situation. Three different studies were conducted on 12 experimental subjects, with results indicating a good accuracy. The first study was performed to detect the posture change of human daily activity. The second study was performed to detect the correct direction of fall. The third study was conducted to check the classification of the daily physical activity. Each test lasted at least 1 min. in the third study. The output of the acceleration signal was compared and evaluated by changing various postures after attaching a 3-axis accelerometer module on the chest. The newly developed system has some important features such as portability, convenience and low cost. One of the main advantages of this system is that it is available at home healthcare environment. Another important feature lies in its low cost of manufacture. The implemented system can detect the fall accurately, so it will be widely used in emergency situations.

• Proceedings of the KSRS Conference
• /
• 2003.11a
• /
• pp.946-948
• /
• 2003

This paper describes the development of an INS (Inertial Navigation System) integrated positioning system, which can monitor and track the firefighter's position for assisting effective fire-fighting activity and rescue services. The INS consists of highly accurate three-axis gyro sensor and three-axis accelerometer. By integrating an INS to positioning system, it is also possible to obtain the information of firefighter's physical state (e.g. standing, collapse and crouch) of posture including velocity. Consequently, this research would obviously make a contribution to effective rescue activities and safety of firefighters. Besides, this paper presents results from field tests conducted at Tokyo University demonstrating its viability and utility. We also summarize the overall system requirements and architecture, and describe the hardware and software used in the prototype system in detail.

• Journal of Korean Academy of Nursing Administration
• /
• v.8 no.4
• /
• pp.669-689
• /
• 2002

Purpose : The purpose of the present study is to develop a clinical pathway applied with activity-based management methodology for efficient clinical management to cope with rapid changing medical environments. Method : After making a preliminary pathway based on which a conceptual frame of reference was established to develop a clinical pathway, the final one was confirmed by verifying experts validity and clinical validity. The ultimate activity-based clinical pathway was restructured after clarifying, schematizing and analyzing the whole activities of clinical pathway in accordance with the conducting process of activity-based management. Result : A clinical pathway for total hip replacement was developed, in which the vertical axis consisted of assessment, examination, consultation, medication, treatment, diet, activity, and education, and the horizontal axis was composed of six days of hospitalization. Then, on the basis of the development, the clinical pathway including the improved contents and information was restructured after making the reform measure by analyzing each of activities in the pathway. And the list of contents related to the clinical management activity was made, which was described its main contents and the pre-activities that ought to be completed before conducting each of activities in the pathway. Conclusion : The clinical pathway applied with activity-based management may be used as a standard guidance for providing continuous and consistent patient care. It will provide the information for nursing activities to nurses and the management information about hospital and nursing activities to the hospital administrators. It will also be used as a tool for communication between medical staff. Besides, it will contribute to creating profits for the hospital by shortening the length of stay in patients.

• Journal of Korean Medicine for Obesity Research
• /
• v.1 no.1
• /
• pp.1-11
• /
• 2001

Obesity is a metabolic disease associated with multiple hormonal abnormalities. Therefore, obesity management aims at balancing these endocrine malfunctions nowadays. Although many studies proved interactions of hormones related with obesity, there are still lots of controversies. Most of these malfunctions are more pronounced in central, visceral obesity than in peripheral obesity. Recently, it is revealed that a central lesion of endocrine malfunction in human visceral obesity is probably related with a hypersensitivity of hypothalamopituitary-adrenal(HPA) axis. Probably associated with this axis, Insulin and cortisol promote lipid accumulation by expressing lipoprotein lipase activity, while sex hormones and growth hormone exert the opposite effects. Also reviewed was thyroid hormone which is closely related with thermogenesis. Serotonin is prescribed as antidepressant and it is applied to some eating disorders. Recently, leptin made in fat deposit also took attentions in terms of regulator of appetite and messenger of sex signal.

• The Journal of Korean Physical Therapy
• /
• v.13 no.3
• /
• pp.751-760
• /
• 2001

Therapeutic exercise had developed with human being. It depend upon development of physiology, anatomy, kinesiology and biomechanics. There are two categories in therapeutic exorcise. One is classical therapeutic exercise which is a activity of one muscle group, one axis and one plane motion. It is ROM, FRE. osteokinematics, arthrokinematics. Another is neurophysiological approach which is multi muscle group, multi axis and plane exercise. It is PNF and Bobath that start from 1940 to early 1950. Classical therapeutic exorcise develop from ROM to osteokinematics and arthrokinematics. It is foundation of the joint mobilization and orthopaedic manual physical therapy. Neurophysiological therapeutic approaching has more theory and skills than before. Bobath methods had changed from reflex-inhibiting posture to key points of control and added the theory of musculoskeletal, biomechanics, motor behaviour and cognition. We call it motor control.

• Proceedings of the Earthquake Engineering Society of Korea Conference
• /
• 1998.10a
• /
• pp.113-119
• /
• 1998

This study is focused on evaluation of the structural behavior of skewed bridge during earthquake. The variation of natural frequencies and the lateral forces at pier shoes by the skewness and the rotational effect about vertical axis of skewed bridge due to seismic activity are analytically evaluated and identified through case studies. For this purpose, the composite steel girder highway bridges are selected as case study models. The seismic analyses by response spectrum method and time history method are performed for the selected models. It has been recognized that the frequency of longitudinal model increased as the skew angle decreased, while the lateral mode frequency showed the opposite trends. When the skew angle decreased, longitudina seismic forces of the bridge at the pier were increased but decreased in transverse direction. And it also has been found that the skewed bridges of the case study models showed the rotational behavior about vertical axis due to motion of San Fernando earthquake at Pacoima Dam.

• Journal of Internet Computing and Services
• /
• v.21 no.4
• /
• pp.127-135
• /
• 2020

The purpose of this study is to develop a human activity recognition (HAR) system, which distinguishes 13 activities, including five activities commonly dealt with in conventional HAR researches and eight activities from the Eastern-Asian culture. The eight special activities include floor-sitting/standing, chair-sitting/standing, floor-lying/up, and bed-lying/up. We used a 3-axis accelerometer sensor on the wrist for data collection and designed a machine learning model for the activity classification. Data clustering through preprocessing and feature extraction/reduction is performed. We then tested six machine learning algorithms for recognition accuracy comparison. As a result, we have achieved an average accuracy of 99.7% for the 13 activities. This result is far better than the average accuracy of current HAR researches based on a smartwatch (89.4%). The superiority of the HAR system developed in this study is proven because we have achieved 98.7% accuracy with publically available 'pamap2' dataset of 12 activities, whose conventionally met the best accuracy is 96.6%.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
• /
• v.24 no.1
• /
• pp.81-88
• /
• 2011

A real time monitoring system from a PC has been developed which can be accessed through transmitted data, which incorporates an established low powered transport system equipped with a single chip combined with wireless sensor network technology from a three-axis acceleration sensor. In order to distinguish between static posture and dynamic posture, the extracted parameter from the rapidly transmitted data needs differentiation of movement and activity structures and status for an accurate measurement. When results interpret a static formation, statistics referring to each respective formation, known as the K-mean algorithm is utilized to carry out a determination of detailed positioning, and when results alter towards dynamic activity, fuzzy algorithm (fuzzy categorizer), which is the relationship between speed and ISVM, is used to categorize activity levels into 4 stages. Also, the ISVM is calculated with the instrumented acceleration speed on the running machine according to various speeds and its relationship with kinetic energy goes through correlation analysis. With the evaluation of the proposed system, the accuracy level stands at 100% at a static formation and also a 96.79% accuracy with kinetic energy and we can easily determine the energy consumption through the relationship between ISVM and kinetic energy.