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Wearable accelerometry provides easily portable systems that supply real-time data adequate for gait analysis. When they do not provide direct measurement of a spatio-temporal parameter of interest, such as step length, it has to be estimated with a mathematical model from indirect sensor measurements. In this work we are concerned with the accelerometry-based estimation of the step length in straight...
Personal localization is key for context aware services in intelligent environments. Dead reckoning approaches are error prone due to the incremental integration error. In this paper an approach based on independent estimations of each step length is applied to avoid the unbounded growth of error, by means of a pendulum model of human gait. A wearable device has been developed, and field experiments...
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