Online Recognition with Postural Transition Awareness
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This chapter introduces an online HAR system for the classification of human activities using smartphones which deals with recurring postural transitions while sequences of activities are carried out (PTA-HAR). For its implementation, the linear SVMs presented in Chap. 6 are combined with temporal filters that use activity probability estimations within a limited time window. The benefits of these approaches are presented through experimentation with the HAR dataset and compared against the previously presented HAR systems.
KeywordsPostural Transition Signal Conditioning Transition Filter Transitory Event Activity Probability Vector
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