Research Article
Fall-Detection Algorithm Using 3-Axis Acceleration: Combination with Simple Threshold and Hidden Markov Model
Algorithm 2
HMM algorithm for fall detection.
(1) Calculate all the values in model matricesmatrices = ()* of all single parameters for activities of four types of | ADL and three types of fall by the Baum-Welch learning algorithm [29] | (2) Calculate all the likelihoods of all single parameters for observation sequences using the evaluation algorithm [29] | (3) Find a maximum probability among four types of ADL and three types of fall | (4) If the activity with the maximum probability is among three types of fall then fall detection | (5) Else no fall (ADL) detection | , and denote the state transition probability distribution, observation emission probability distribution, and initial | state distribution for activities, respectively. |
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