Sungkook Hong
Biographic Data
| ID | 10021180 |
|---|---|
| NAME | Sungkook Hong |
| GIVEN NAMES | Sungkook |
| FAMILY NAME | Hong |
| SIGNATURE | HONG S |
| AFFILIATIONS | Dankook University |
| ORCID | 0000-0001-8962-9283 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Detecting environmental barriers affecting older adult pedestrians via Gramian angular field-based CNN of smartphone sensor data
Introduction: Promoting safe walking among older adults requires precise identification of environmental barriers that disrupt gait. Traditional adult- and survey-based walkability assessments are labor-intensive and often miss transient hazards, while prior wearable-sensor methods-threshold-based acceleration, Maximum Lyapunov Exponent (MaxLE, a gait-stability index quantifying the local divergence of gait dynamics), and information entropy-eith…
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Detecting environmental barriers affecting older adult pedestrians via Gramian angular field-based CNN of smartphone sensor data
Introduction: Promoting safe walking among older adults requires precise identification of environmental barriers that disrupt gait. Traditional adult- and survey-based walkability assessments are labor-intensive and often miss transient hazards, while prior wearable-sensor methods-threshold-based acceleration, Maximum Lyapunov Exponent (MaxLE, a gait-stability index quantifying the local divergence of gait dynamics), and information entropy-eith…
Balance, Gait, and Falls Prevention (1 work) · Convolutional neural network (1 work) · Deep learning (1 work) · Gramian matrix (1 work) · Older Adults Driving Studies (1 work) · Scalability (1 work) · Urban Transport and Accessibility (1 work) · Walkability (1 work)