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The problem of this KF framework is to assume the target behavior follows a random variable distribution [1], which may degenerate the prediction accuracy of human localization.
When we are subjected to human localization process, we refer generally to linguistic localization (near to the desk, next to the window in front of the TV…).
Localization services, especially for human localization, are an indispensable component of most technologies and applications related to the Industrial Internet of Things (IIoT).
Specifically, we formulate human localization problem as finding a location with the maximum posterior probability given the observed received signal strength indicator from passive radio-frequency identification tags.
Based on these functions, we developed two low-level applications: (1) particle filter-based human localization and tracking using wearable motion sensors and distributed binary sensors; (2) Dynamic Bayesian Network-based human activity recognition using microphones and distributed binary sensors.
In the rate code the neuronal resources are dedicated to encoding the far left and right while human localization behavior suggests that the representation is densest for frontal locations.
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Motivated by increasing research attention on location-aware human robot interaction, we propose a robot-assisted human indoor localization scheme utilizing acoustic ranging between a self-localized mobile robot and smartphones.
Smartphone-based human indoor localization was previously implemented using wireless sensor networks at the cost of sensing infrastructure deployment.
A pseudoquadrature mirror filter (QMF) bank is employed in the implementation of CCS filters which are bandlimited to 6 kHz, where human's localization is the most sensitive.
Accordingly, the Cr channel of skin color is used for human face localization because in situations involving severe occlusion (crowded scenes with people overlapping one another), human face is the most visible body part when viewed with a typical surveillance camera positioned looking downwards from a height.
(c) Human chromosomal localization of the gene.
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