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- W2034650018 abstract "This article presents a probabilistic approach to the tracking and estimation of the lower body posture of users moving on foot over an instrumented floor surface. The latter consists of an array of low-cost force platforms providing intermittent foot-floor contact data with limited spatial resolution. We use this data to track body posture in 3D space using Bayesian filters with a switching state-space model. Potential applications of this work to person tracking and human-computer interaction are described." @default.
- W2034650018 created "2016-06-24" @default.
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- W2034650018 date "2010-01-01" @default.
- W2034650018 modified "2023-09-23" @default.
- W2034650018 title "Probabilistic Tracking of Pedestrian Movements via In-Floor Force Sensing" @default.
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- W2034650018 doi "https://doi.org/10.1109/crv.2010.26" @default.
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