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Combined analysis of sensor data from hand and gait motor function improves automatic recognition of Parkinson's disease., , , , , , and . EMBC, page 5122-5125. IEEE, (2012)Inertial sensor based and shoe size independent gait analysis including heel and toe clearance estimation., , , , , , and . EMBC, page 5424-5427. IEEE, (2015)Wearable static posturography solution using a novel pressure sensor sole., , , , and . EMBC, page 2973-2976. IEEE, (2014)Timed Up-and-Go phase segmentation in Parkinson's disease patients using unobtrusive inertial sensors., , , , and . EMBC, page 5171-5174. IEEE, (2015)Inertial sensor based gait analysis discriminates subjects with and without visual impairment caused by simulated macular degeneration., , , and . EMBC, page 4979-4982. IEEE, (2016)Biometric and mobile gait analysis for early diagnosis and therapy monitoring in Parkinson's disease., , , , , , , and . EMBC, page 868-871. IEEE, (2011)Subsequence dynamic time warping as a method for robust step segmentation using gyroscope signals of daily life activities., , , , , , and . EMBC, page 6744-6747. IEEE, (2013)Pull test estimation in Parkinson's disease patients using wearable sensor technology., , , , and . EMBC, page 3109-3112. IEEE, (2015)Inertial Sensor-Based Stride Parameter Calculation From Gait Sequences in Geriatric Patients., , , , , and . IEEE Trans. Biomed. Engineering, 62 (4): 1089-1097 (2015)Stride Length Estimation with Deep Learning., , , , , , , and . CoRR, (2016)