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- W2611272674 abstract "The Kalman filter is formally an algorithm used to produceestimation of a random variable based on measurement containingnoise observed over time. This paper discusses Kalman filtercapabilities to smooth noisy data obtained fromelectro-mechanical gyroscopes and accelerometers. Data producedby the sensor unit contain two types of noise: noise induced bythe electronic (both properties of the electro-mechanicalnature of the electronic and noise introduced by digitization)and noise induced by human i.e., noise caused by shivering ofhuman hand. The goal is to smooth the data produced by sensorunit movement to make human gestures more distinguishable.Optimal design and slight modification of the Kalman algorithmis discussed in this paper." @default.
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- W2611272674 date "2013-11-13" @default.
- W2611272674 modified "2023-09-23" @default.
- W2611272674 title "Kalman filter improvement for gyroscopic mouse movementsmoothing" @default.
- W2611272674 hasPublicationYear "2013" @default.
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