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• W2554272018 abstract "In recent years, e-rehabilitation has become an emerging topic, firstly because of an increasing demand, secondly because of improved sensor systems and higher computational performance. Furthermore, due to the lack of therapists in Germany, an adequate supervision of the therapy is often impossible. A tracking of physiological parameters, such as the heart rate, can contribute to an improved evaluation of training exercise efficiency. In this work, we present several methods to remotely determine the heart rate with an RGB camera. To achieve this, we propose two fusion methods , which combine intensity-based and motion-based methods. The fusion method with the highest performance is based on the measurement of intensity and motion variations. This new approach outperforms extant single methods." @default.
• W2554272018 created "2016-11-30" @default.
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• W2554272018 creator A5056534496 @default.
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• W2554272018 date "2016-10-01" @default.
• W2554272018 modified "2023-09-26" @default.
• W2554272018 title "Signal fusion based on intensity and motion variations for remote heart rate determination" @default.
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• W2554272018 doi "https://doi.org/10.1109/ist.2016.7738282" @default.
• W2554272018 hasPublicationYear "2016" @default.
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