Abstract
Techniques to remotely measure heartbeat information are useful for many applications such as daily health management and emotion estimation. In recent years, some methods to measure heartbeat information using a consumer RGB camera have been proposed. However, it is still a difficult challenge to accurately and quickly measure heart rate from videos with significant body movements. In this study, we propose a video-based heart rate measurement method that enables robust measurement in real-time by improving over previous slower methods that used local regions of the facial skin for measurement. From experiments using public datasets and self-collected videos, it was confirmed that the proposed method enables fast measurements while maintaining the accuracy of conventional methods.
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This work was supported partly by JSPS KAKENHI Grant Number 17K18850.
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Otsu, K. et al. (2021). Robust and Fast Heart Rate Monitoring Based on Video Analysis and Its Application. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1213. Springer, Cham. https://doi.org/10.1007/978-3-030-51328-3_35
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DOI: https://doi.org/10.1007/978-3-030-51328-3_35
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