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Mobile Gait Analysis using Personalised Hidden Markov Models for Hereditary Spastic Paraplegia Patients., , , , , and . EMBC, page 5430-5433. IEEE, (2018)A Mobile Solution for Rhythmic Auditory Stimulation Gait Training., , , , , , , , , and . EMBC, page 309-312. IEEE, (2019)Technical Validation of an Automated Mobile Gait Analysis System for Hereditary Spastic Paraplegia Patients., , , , , , and . IEEE J. Biomed. Health Informatics, 24 (5): 1490-1499 (2020)Wearables-based multi-task gait and activity segmentation using recurrent neural networks., , , and . Neurocomputing, (2021)Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson's Disease., , , , , , and . Sensors, 18 (1): 145 (2018)Smart Annotation Tool for Multi-sensor Gait-based Daily Activity Data., , , , and . PerCom Workshops, page 549-554. IEEE Computer Society, (2018)Smart Annotation of Cyclic Data Using Hierarchical Hidden Markov Models., , , and . Sensors, 17 (10): 2328 (2017)Indoor Trajectory Reconstruction of Walking, Jogging, and Running Activities Based on a Foot-Mounted Inertial Pedestrian Dead-Reckoning System., , , , and . Sensors, 20 (3): 651 (2020)Hidden Markov Model-Based Smart Annotation for Benchmark Cyclic Activity Recognition Database Using Wearables., , and . Sensors, 19 (8): 1820 (2019)Segmentation of gait sequences using inertial sensor data in hereditary spastic paraplegia., , , , , , , and . EMBC, page 1266-1269. IEEE, (2017)