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Mobile Gait Analysis using Personalised Hidden Markov Models for Hereditary Spastic Paraplegia Patients., , , , , and . EMBC, page 5430-5433. IEEE, (2018)Workshop on wearables for sports., , , , , , , , and . UbiComp Adjunct, page 877-880. ACM, (2016)A Mobile Solution for Rhythmic Auditory Stimulation Gait Training., , , , , , , , , and . EMBC, page 309-312. IEEE, (2019)Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson's Disease., , , , , , and . Sensors, 18 (1): 145 (2018)Blind path obstacle detector using smartphone camera and line laser emitter., , , , , , , and . TISHW, page 1:1-1:7. IEEE, (2016)Smart Annotation Tool for Multi-sensor Gait-based Daily Activity Data., , , , and . PerCom Workshops, page 549-554. IEEE Computer Society, (2018)Hidden Markov Model-Based Smart Annotation for Benchmark Cyclic Activity Recognition Database Using Wearables., , and . Sensors, 19 (8): 1820 (2019)Smart Annotation of Cyclic Data Using Hierarchical Hidden Markov Models., , , and . Sensors, 17 (10): 2328 (2017)Segmentation of gait sequences using inertial sensor data in hereditary spastic paraplegia., , , , , , , and . EMBC, page 1266-1269. IEEE, (2017)