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SmartMove: a smartwatch algorithm to distinguish between high- and low-amplitude motions as well as doffed-states by utilizing noise and sleep., , , и . iWOAR, стр. 1:1-1:8. ACM, (2016)Making Noise - Improving Seismocardiography Based Heart Analysis With Denoising Autoencoders., , , , и . iWOAR, стр. 24:1-24:9. ACM, (2023)Touchless heart rate Recognition by Robots to support natural Human-Robot Communication., , и . PETRA, стр. 415-420. ACM, (2018)Step Detection for Rollator Users with Smartwatches., , , и . SUI, стр. 163-167. ACM, (2018)Exploring Accelerometer-based Step Detection by using a Wheeled Walking Frame., , , и . iWOAR, стр. 8:1-8:6. ACM, (2018)Mobile Assisted Living: Smartwatch-based Fall Risk Assessment for Elderly People., , , и . iWOAR, стр. 6:1-6:10. ACM, (2018)Sensor requirements for activity recognition on smart watches., , и . PETRA, стр. 67:1-67:6. ACM, (2013)Transforming Seismocardiograms Into Electrocardiograms by Applying Convolutional Autoencoders., , , , , и . ICASSP, стр. 4122-4126. IEEE, (2020)Nocturnal respiration pattern of healthy people as a hint for sleep state detection., , , и . PETRA, стр. 547-553. ACM, (2019)Presenting a data imputation concept to support the continuous assessment of human vital data and activities., , , и . PETRA, стр. 587-592. ACM, (2019)