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작업 사고 예방을 위한 PPG 신호 분석 기반의 인지적 피로 예측
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- Issue Date
- 2021-07
- Citation
- 대한전자공학회 학술 대회 (하계) 2021, pp.2254-2257
- Publisher
- 대한전자공학회
- Language
- Korean
- Type
- Conference Paper
- Abstract
- To prevent work accidents in the workplace is an essential technique to be used in work safety applications. In this paper, we propose a method that uses spectrograms to represent spectral features of heart rate signals. Our approach is demonstrated on a public PPG dataset and showed more accuracy compared to the traditional method.
- KSP Keywords
- Heart rate, Safety applications, Traditional methods, Work safety, spectral features