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Fall Risk Assessment Through Automatic Combination of Clinical Fall Risk Factors and Body-Worn Sensor Data.

, , and . IEEE J. Biomed. Health Informatics, 21 (3): 725-731 (2017)

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Impact of Exercise Intervention in Parkinson's Disease can be Quantified Using Inertial Sensor Data and Clinical Tests., , , , , and . EMBC, page 3507-3510. IEEE, (2019)Unsupervised gait detection using biomechanical restrictions., , , , and . EMBC, page 4009-4013. IEEE, (2017)Using a tri-axial accelerometer to detect technique breakdown due to fatigue in distance runners: A preliminary perspective., , and . EMBC, page 6511-6514. IEEE, (2011)Comparing adaptive algorithms to measure temporal gait parameters using lower body mounted inertial sensors., and . EMBC, page 4509-4512. IEEE, (2012)Inertial Sensing: A Little Bit of CLARITY., , and . ERCIM News, (2009)An Examination of the Public Transport Information Requirements of Users., and . IEEE Trans. Intell. Transp. Syst., 8 (1): 21-30 (2007)Assessment and Classification of Early-Stage Multiple Sclerosis With Inertial Sensors: Comparison Against Clinical Measures of Disease State., , , , , , and . IEEE J. Biomed. Health Informatics, 19 (4): 1356-1361 (2015)The use of inertial sensors for the classification of rehabilitation exercises., , and . EMBC, page 2965-2968. IEEE, (2014)Quantitative assessment of multiple sclerosis using inertial sensors and the TUG test., , , , and . EMBC, page 2977-2980. IEEE, (2014)Using Barycenters as Aggregate Representations of Repetition-Based Time-Series Exercise Data., , , and . MLSA@PKDD/ECML, volume 1571 of Communications in Computer and Information Science, page 178-188. Springer, (2021)