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Inertial sensor based and shoe size independent gait analysis including heel and toe clearance estimation., , , , , , and . EMBC, page 5424-5427. IEEE, (2015)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)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)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)Stride Segmentation during Free Walk Movements Using Multi-Dimensional Subsequence Dynamic Time Warping on Inertial Sensor Data., , , , , , , , , and 1 other author(s). Sensors, 15 (3): 6419-6440 (2015)Using Wearable Inertial Sensors to Compare Different Versions of the Dual Task Paradigm during Walking., , , , , , , , , and 5 other author(s). ECCE, page 150-157. ACM, (2017)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)