• Journal of Korean Physical Therapy Science
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• v.18 no.3
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• pp.79-86
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• 2011

Background : The purpose of this study was to investigate on the ankle pain, Range of Motion(ROM) and balance ability with old man have fall down experience used to ankle strengthening exercise for 6 weeks. We introduced ankle strengthening exercise in this study in order to recover the pain, ankle ROM and balance ability. Methods : Twenty-four old mans have fall down experience were included for the study. Among them, twelve old mans(experimental group) were ankle strengthening exercise and physical science methods(H/P, TENS, U/S), another twelve old mans(control group) were treated by physical science methods(H/P, TENS, U/S). Each group made use of Visual Analogue Scale(VAS) to pain and goniometer to ankle ROM and Berg Balance Test(BBS) to balance ability to compare the possible changes of pain, ROM and balance ability in two groups after treatment. Results : In experimental group, pain reduced, ankle ROM has increased in dorsi-flexion, plantar-flexion and balance ability has increased for 6 weeks. In control group, pain reduced, ankle ROM has not changed in dorsi-flextion, plantar-flextion and balance ability has not changed for 6 weeks. Conclusion : According to the results, we concluded that ankle strengthening exercise for 6 weeks is effective for reducing pain and increasing ankle ROM and balance ability. Therefore, we thought the old man have fall dawn experience need ankle strengthening exercise for prevention repeatedly fall down.

• Journal of Satellite, Information and Communications
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• v.12 no.2
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• pp.56-60
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• 2017

This paper describes the design and implementation of fall-down detection algorithm based on image processing. The fall-down detection algorithm separates objects by using background subtraction and binarization after grayscale conversion of the input image acquired by the camera, and recognizes the human body by using labeling operation. The recognized human body can be monitored on the display image, and an alarm is generated when fall-down is detected. By using computer simulation, the proposed algorithm has shown a detection rate of 90%. We verify the feasibility of the proposed system by verifying the function by using the prototype test implemented on the DSP image processing board.

• Journal of Trauma and Injury
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• v.23 no.2
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• pp.96-101
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• 2010

Purpose: This study was conducted in order to evaluate the epidemiological characteristics of?children with fall-down injuries according to age groups and to analyze the major trauma groups that were treated at the emergency room (ER). Methods: Among 1,222 children under age 6 who were treated at the ER from January 2008 to December 2009, a retrospective study was conducted through examination of medical records. The children were classified by age into 3 groups: infant, toddler, and pre-schooler. In each group, the differences between the causative factors that led to the fall-down injuries were analyzed. Also, ISS (Injury Severity Score) score above 4 was classified as major trauma, and an ISS score 0-1 was classified as a minor trauma. The relationship between major trauma and age group was also analyzed. Results: Through an analysis of child fall-down injuries, men (56.6%), toddler (47.3%), head-related symptoms (72.9%), furniture-related traumas (80.2%), and falls from less than a 1-m height (69.9%) were found to be common factors. Furthermore, in radiological studies, fractures and brain hemorrhages accounted for 16.9% of major traumas, and simple skull fractures were the most common (21.4%). Distributed according to age group, the factors relevant to fall injuries were fall height and head-related symptoms for infants, accident site, fall height and head-related symptoms for toddlers, and accident site for pre-schoolers (p<0.05). Also, headrelated symptoms and fall height were independent factors of major trauma in all age groups. However, major traumas (17.3%) were related to dumped trauma, fall height and accident site (p<0.05). Conclusion: This study was mainly about head-related injuries, and toddler were most common victims. The relevant factors for the major trauma were falling height for infants, accident site and falling height for toddlers, and accident site, falling height for pre-schoolers.

• Journal of The Korean Society of Integrative Medicine
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• v.5 no.2
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• pp.33-42
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• 2017

Purpose: This study examined the effects of the fumanet exercise program on the cognitive function and fall down-related physical fitness factor in elderly people. Method: The study period was May 2-June 24, 2016. The participants included 20 elderly persons (control group 10, experimental group 10) who registered at the day-care Center in G. City. Descriptive statistics were used for the analysis of the control and experimental groups' general characteristics. The chi-square and Mann-Whitney U tests were conducted to identify the two groups' general characteristics' and dependent variables' homogeneity. The Wilcoxon signed-rank test was used to compare the pre-and post-intervention cognitive function and fall down-related physical fitness factor, and a Mann-Whitney U test was used to analyze the rate of cognitive function and fall down-related physical fitness factor changes between the groups after the intervention. Result: The participants' fall down-related physical fitness factors (balance, gait, leg strength) increased and memory in the cognitive function sub-area improved in the participants who participated in the fumanet exercise program. The amount of change in gait was significantly different between the control and experimental groups. Conclusion: The fumanet exercise program included gait training using the learn, remember and repeat phased steps. Therefore, this study proposes using the fumanet exercise program to improve the elderly's cognitive function and physical fitness factor.

• Journal of the Society of Disaster Information
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• v.20 no.2
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• pp.302-314
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• 2024

Purpose: This study proposes a fall detection model based on a top-down deep learning pose estimation model to automatically determine falls of multiple workers in an underground utility tunnel, and evaluates the performance of the proposed model. Method: A model is presented that combines fall discrimination rules with the results inferred from YOLOv8-pose, one of the top-down pose estimation models, and metrics of the model are evaluated for images of standing and falling two or fewer workers in the tunnel. The same process is also conducted for a bottom-up type of pose estimation model (OpenPose). In addition, due to dependency of the falling interference of the models on worker detection by YOLOv8-pose and OpenPose, metrics of the models for fall was not only investigated, but also for person. Result: For worker detection, both YOLOv8-pose and OpenPose models have F1-score of 0.88 and 0.71, respectively. However, for fall detection, the metrics were deteriorated to 0.71 and 0.23. The results of the OpenPose based model were due to partially detected worker body, and detected workers but fail to part them correctly. Conclusion: Use of top-down type of pose estimation models would be more effective way to detect fall of workers in the underground utility tunnel, with respect to joint recognition and partition between workers.

• Journal of the Korean Society for Precision Engineering
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• v.28 no.11
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• pp.1330-1338
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• 2011

Social activities of the elderly have been increasing as our society progresses toward an aging society. As their activities increase, so does the occurrence of falls that could lead to fractures. Falls are serious health hazards to the elderly. Therefore, development of a device that can detect fall accidents and prevent fracture is essential. In this study, we developed a portable fall detection system for the fracture prevention system of the elderly. The device is intended to detect a fall and activate a second device such as an air bag deployment system that can prevent fracture. The fall detection device contains a 3-axis acceleration sensor and two 2-axis tilt sensors. We measured acceleration and tilt angle of body during fall and activities of daily(ADL) living using the fall detection device that is attached on the subjects'. Moving mattress which is actuated by a pneumatic system was used in fall experiments and it could provide forced falls. Sensor data during fall and ADL were sent to computer and filtered with low-pass filter. The developed fall detection device was successful in detecting a fall about 0.1 second before a severe impact to occur and detecting the direction of the fall to provide enough time and information for the fracture preventive device to be activated. The fall detection device was also able to differentiate fall from ADL such as walking, sitting down, standing up, lying down, and running.

• Journal of Information Technology Services
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• v.11 no.sup
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• pp.113-121
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• 2012

In this study, a real-time fall detection system based on a smartphone equipped with three-axis accelerometer and magnetometer was proposed and evaluated. The proposed system provides a service that detects falls in real time, triggers alarm sound, and sends emergency SMS(Short Message Service) if the alarm is not deactivated within a predefined time. When both of the acceleration magnitude and angle displacement of the smartphone attached to waist belt are greater than predefined thresholds, it is detected as a fall. The proposed system was evaluated against activities of daily living(walking, jogging, sitting down, standing up, ascending stairs, and descending stairs) and unintended falls induced by a proprietary pneumatic-powered mattress. With the thresholds of acceleration magnitude 1.7g and angle displacement $80^{\circ}$, it showed 96.5% accuracy to detect the falls while all the activities of daily living were not detected as fall.

• The Journal of the Korea Contents Association
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• v.10 no.3
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• pp.232-240
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• 2010

This study is to look into the effectiveness of fall-preventive occupational therapy of elderly by clarifying the influence of occupational therapy applied to female elderly in the community upon balance ability. A 6-week occupational therapy program including both training and exercise for prevention of fall down was applied by dividing into 13 persons of experimental group and 13 persons of control group for female elderly aged more than 65 years who were capable of independence gait and have not taken any drug to adversely affect balance. For balance ability assessment, the Berg balance scale and the Tetrax fall index were used. The Berg balance scale in experimental group was shown to be 48.38 to 50.69 through the 6-week program, indicating changes in significance level(p=.017). The Tetrax fall index in experimental group was shown to be 46.77 to 35.54 through the 6-week program(p=.000). Changes in significance level were not found for both the Berg balance scale and the Tetrax fall index in control group. As seen from the results of this study, it is found that 6-week application of the fall-preventive occupational therapy program including fall prevention training and exercise was effective for promotion of elderly's balance ability, and further studies just on the effect of fall prevention training are required to be made.

• Journal of Sensor Science and Technology
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• v.20 no.6
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• pp.420-427
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• 2011

The population of elderly people increases rapidly as our society moves towards the aged one. Healthcare for the elderly becomes an important issue and falling down is one of the critical problems although not well recognized. In this study, a fall detection system was developed using a 3-axis accelerometer. Analyzing fall patterns, we took into account the degree of impact, posture angle, the repetitions of similar movements and the activities after a potential fall and proposed an algorithm of fall detection. Information of the fall sensor was sent to a remote healthcare server through the wireless networks of Zigbee and WLAN. Our system was designed to monitor multiples users. 12 persons participated in experiment and each one performed 24 different movements. Our proposed algorithm was compared with other reported ones. Our method produced the excellent results having a sensitivity of 96.4 % and a specificity of 100 % whereas other methods had a sensitivity range between 87.5 % and 94.8 % and a specificity range between 63.5 % and 83.3 %.

• Journal of The Korean Society of Integrative Medicine
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• v.7 no.1
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• pp.9-17
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• 2019

Purpose : This study assessed the effects of transcranial direct current stimulation (tDCS) on balance, fall efficacy, and fall-related fitness in stroke patients, using a cohort of 30 stroke patients divided into two groups. Methods : The experimental group (was given transcranial direct current stimulation in a virtual reality program) and the control group was given false tDCS in virtual reality. there were 15 patients in each group, receiving appropriate treatment over 30 sessions (30 minutes per session per week over a six-week period). In order to assess the change in balance before and after the intervention, the Berg Balance scale was utilized. Fall efficacy was evaluated using the Korean Falls Efficacy Scale for the Elderly (FES-K), The following exercises were performed by patients to assess fall-related fitness : sitting down in a chair and standing up : walking a 244 cm round= trip, and standing on one foot. Results : After the intervention, the experimental group exhibited significantly increased fall efficacy and fall-related fitness, while the control group exhibited no change. These findings suggest that tDCS has positive effects on balance, fall efficacy, and fall-related fitness in stroke patients. Conclusion : Using tDCS as an intervention would bring positive effects on balance, fall efficacy, and fall-related fitness in stroke patients undergoing rehabilitation.