• The Journal of Korean society of community based occupational therapy
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• v.3 no.1
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• pp.21-31
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• 2013

Objective : This study was aimed to survey the present situation and satisfaction in assistive technology of the physically disabled person. Method : 110 patients, being diagnosed with spinal cord injury and stroke, were chosen and structured interview was carried out using by a questionnaire. Result : The followings are the results of this study. First, spinal cord injury(76.2%) and stroke(72.5%) patients used the most wheelchair and mobility devices in assistive technology device. Second, they were satisfied in effectiveness of assistive technology device. Third, spinal cord injury(39.4%) patients used the most repair service in assistive technology service. Fourth, stroke(28.2%) patients used the most application and training service. Fifth, they were satisfied in professionality while were dissatisfied in service delivery program. Conclusion : The results of this study would contribute to better assistive technology for the physically disabled person.

• Journal of The Korea Institute of Healthcare Architecture
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• v.16 no.1
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• pp.65-75
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• 2010

This is a comparative study mainly on foreign countries' domestic standards and laws on barrier free housing construction that can be applied to the dwelling of elderly friendly apartment housing. Eight countries - the United States, Germany, Canada, Switzerland, the United Kingdom, Australia, Japan, and China - were reviewed as foreign cases. The analyzed subjects were design standards only for the disabled and the aged. To compare barrier-free guides of the eight countries, each barrier-free guide on three space units (entrance, bedroom, living room) was divided into 11 design items and 36 design factors. The comparative analysis on foreign cases was based on the design guide according to Korea's KS P 1509 (principle and recommendation for designing dimension of dwelling in consideration of the elderly). Some factors -if with dimensions- were compared by means of the skewness of distribution. In the analysis result, there were not only common standards for the nine countries such as a dimension of the space for wheelchair movement but also different standards such as heights of outlets and horizontal lengths of bathtub grab bars. The detailed analysis shows that it is urgently necessary to prepare new domestic national design standards for 8 factors that foreign countries already have. It is also needed to immediately prepare dimension standards for the design factors, which have no detailed dimensions but only national guides, in consideration for anthropometric dimension.

• Journal of the Korea Society of Computer and Information
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• v.29 no.1
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• pp.61-68
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• 2024

Despite the continuous efforts to mitigate pedestrian accidents at crosswalks, the problem persist. Vulnerable groups, including the elderly and disabled individuals are at a risk of being involved in traffic incidents. This paper proposes the implementation of object detection algorithm using the YOLO v5 model specifically for pedestrians using assistive devices like wheelchairs and crutches. For this research, data was collected and utilized through image crawling, Roboflow, and Mobility Aids datasets, which comprise of wheelchair users, crutch users, and pedestrians. Data augmentation techniques were applied to improve the model's generalization performance. Additionally, ensemble techniques were utilized to mitigate type 2 errors, resulting in 96% recall rate. This demonstrates that employing ensemble methods with a single YOLO model to target transportation-disadvantaged individuals can yield accurate detection performance without overlooking crucial objects.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.2
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• pp.89-103
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• 2020

As we face an aging society, the demand for personal mobility for disabled and aged people is increasing. In fact, as of 2017, the number of electric wheelchair in the country continues to increase to 90,000. However, people with disabilities and seniors are more likely to have accidents while driving, because their judgment and coordination are inferior to normal people. One of the causes of the accident is the interference of personal vehicle steering control due to unbalanced road surface conditions. In this paper, we introduce a encoder type semantic segmentation algorithm that can recognize road conditions at high speed to prevent such accidents. To this end, more than 1,500 training data and 150 test data including road surface damage were newly secured. With the data, we proposed a deep neural network composed of encoder stages, unlike the Auto-encoding type consisting of encoder and decoder stages. Compared to the conventional method, this deep neural network has a 4.45% increase in mean accuracy, a 59.2% decrease in parameters, and an 11.9% increase in computation speed. It is expected that safe personal transportation will be come soon by utilizing such high speed algorithm.

• Composites Research
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• v.37 no.1
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• pp.46-52
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• 2024

The development of transportation methods has improved human transportation convenience and made it possible to expand the travel radius of people with disabilities who have difficulty moving. However, in the case of WAV (wheelchair Accessible Vehicle), the safety that may occur in a vehicle accident is still lower than that of regular passenger seats. In particular, in the case of a rear-end collision that may occur in a defenseless situation, it can cause fatal neck injuries to disabled passengers. Therefore, a more detailed design plan must be reflected in the headrest to be applied to WAV. In this study, a multi-cell headrest was proposed to implement local compression characteristic distribution of the headrest during rear-end collision of WAV. Afterwards, a correlation analysis was performed between the passenger's NIC (Neck Injury Criterion) and impact energy absorption using the data set construction through analysis and the clustering results using k-means clustering. As a result of clustering, it was confirmed that data clusters with similar characteristics were formed, and a correlation analysis between NIC and impact energy absorption through the characteristics of each cluster was performed. As a result of the analysis, it was confirmed that the softer the cell compression characteristics in Mid3 and Mid6, the more impact energy absorption increases, and the harder the cell compression characteristics in Front2, Mid3, and Mid6, the more effective it is in reducing NIC.