Fig. 3From: Hidden Markov Model based stride segmentation on unsupervised free-living gait data in Parkinson’s disease patientsSchematic of a two-class HMM: The transition model and the stride model were trained separately on the respective parts of the training dataset. In a second step, the missing edges were calculated based on the complete training set to connect both modelsBack to article page