Abstract
This paper presents the research done on simultaneous data acquisition from multiple  smart wristbands. The wristbands, besides monitoring fitness features, can be used to monitor health parameters like heart rate, blood pressure, and speed and dynamics of movement. The movement analysis may be used to monitor progress in rehabilitation. In order to analyze human movement more accurate, it is useful to gather data from several accelerometers simultaneously. The studies were based on raw data gathered from wristbands to collect and analyze the time between the readings depending on the number of connected devices. Additionally, the analysis was made of the difference in readings of the accelerometers from several devices to estimate the mean error of measurements.
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Acknowledgements
This research was partially supported by the Department of Graphics, Computer Vision and Digital Systems, under statue research project (Rau6, 2021), Silesian University of Technology (Gliwice, Poland).
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Rodak, Z., Tokarz, K., Mielnik, P., Fojcik, M. (2022). Simultaneous Measurements Reading from More Than One MiBand 3 Wristbands. In: Nagar, A.K., Jat, D.S., MarĂn-RaventĂłs, G., Mishra, D.K. (eds) Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 333. Springer, Singapore. https://doi.org/10.1007/978-981-16-6309-3_10
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