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Combined Regression and Classification Models for Accurate Estimation of Walking Speed Using a Wrist-worn IMU.

, , , and . EMBC, page 3272-3275. IEEE, (2018)

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Identifying the number and location of body worn sensors to accurately classify walking, transferring and sedentary activities., , and . EMBC, page 5003-5006. IEEE, (2016)Estimation of classification probabilities in small domains accounting for nonresponse relying on imprecise probability., and . Int. J. Approx. Reason., (2019)Combined Regression and Classification Models for Accurate Estimation of Walking Speed Using a Wrist-worn IMU., , , and . EMBC, page 3272-3275. IEEE, (2018)A comparison of accuracy of fall detection algorithms (threshold-based vs. machine learning) using waist-mounted tri-axial accelerometer signals from a comprehensive set of falls and non-fall trials., , , , and . Medical Biol. Eng. Comput., 55 (1): 45-55 (2017)Estimation of Classification Probabilities in Small Domains Accounting for Nonresponse Relying on Imprecise Probability., and . SMPS, volume 832 of Advances in Intelligent Systems and Computing, page 175-182. Springer, (2018)Accuracy of a wavelet-based fall detection approach using an accelerometer and a barometric pressure sensor., , , , and . EMBC, page 2150-2153. IEEE, (2017)The effect of window size and lead time on pre-impact fall detection accuracy using support vector machine analysis of waist mounted inertial sensor data., , , and . EMBC, page 30-33. IEEE, (2014)Classifying sitting, standing, and walking using plantar force data., , , , , , and . Medical Biol. Eng. Comput., 59 (7-8): 257-270 (2021)Distinguishing near-falls from daily activities with wearable accelerometers and gyroscopes using Support Vector Machines., , , and . EMBC, page 5837-5840. IEEE, (2012)Towards a Cautious Modelling of Missing Data in Small Area Estimation., , and . ISIPTA, volume 62 of Proceedings of Machine Learning Research, page 253-264. PMLR, (2017)