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This paper presents an approach to fuse multiple sensors in an Interacting Multiple Model design.
The researchers say that both measures would probably be improved by using multiple sensors in each room, to compensate for people blocking one another from a single sensor's view.
The need for the use of multiple sensors in the current OSAHS detection systems adds to the cost and complexity of the current systems and associated procedures.
Application of multiple sensors in Reverse Engineering (RE) has been effective approach to meet increasing demands of both complexity and accuracy.
That will probably mean combining positioning information from multiple sensors in a smartphone: Wi-Fi and mobile-phone signals, GPS readings, data from accelerometers and gyroscopes, and images of the surroundings from the phone's camera.
The program synchronizes and resamples temperature data from multiple sensors in a vertical profile, isolates the diurnal signal from each time series and extracts its amplitude and phase angle information using Dynamic Harmonic Regression (DHR), and calculates vertical water flux rates between multiple sensor pairs using heat transport models.
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The determinant directly accounts for redundancy of information for placing multiple sensors via the covariance terms in the observability matrix.
Bayes's theorem describes how information should be integrated across multiple sensors arranged in parallel or in series, as described in detail in Text S1.
In Text S1, I describe in greater detail the principles by which we can determine probability distributions of stimulus intensities conditional only on the information contained in multiple sensors, arranged either in parallel or in series.
The system processes the audio and video data acquired from multiple sensors spread in the environment to automatically detect dangerous events and generate automatic warning messages.
Another advantage of passive sensors is that multiple sensors operating in the same environment do not interfere each other.
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