Human Activity Recognition is technology introduced to recognize human activities. Several technologies that have been applied are Accelerometer sensors, Gyroscope Cameras, and GPS. The selection of the Support Vector Machine algorithm due its capabilities minimize errors in training data sets Curse dimensionality which can estimate parameters as well ability find best hyperplane separates two ...

We demonstrate the generation of a trapped ion oscillator having large oscillation amplitude $16.9~{\rm \mu m}$. Applying an offset voltage to trap electrode helped achieve displacement center within time scale 5 ns. The fluorescence dynamics were analyzed after estimate amplitude. realized is one order magnitude larger than that achieved in previous work. Thus, this result important step towar...

A classical mixed sensitivity minimization approach and a model matching formulation are compared with the goal to design a linear parameter-varying augmented state feedback control law for a laboratory-scale control moment gyroscope. Dynamic weighting filters are used to impose integral action and roll-off on the controller. Consequently, measurement noise is effectively suppressed and steady ...

This paper presents results of structural and thermal modeling of a z-axis rate integrating gyroscope. A strain energy method is used to obtain a structural model of the device, which is verified using finite element analysis. Based on a parametric analysis, an appropriate micromachining technology suitable for the fabrication of the gyroscope is identified. A sensitivity study shows that the o...

This paper presents a new human motion tracking system using two wearable inertial sensors that are placed near the wrist and elbow joints of the upper limb. Each inertial sensor consists of a tri-axial accelerometer, a tri-axial gyroscope and a tri-axial magnetometer. The turning rates of the gyroscope were utilised for localising the wrist and elbow joints on the assumption that the two upper...

The MEMS gyroscope zero drifts dominantly affects measurement accuracy of gyroscope. For the nonlinear problem that MEMS gyro zero drift varying with the temperature changes, the wavelet transform was performed to filter the static experiment zero drift data, then the zero drift was investigate by combing with the improved grey prediction theory. Finally a temperature compensation model based o...

This paper represents a first step in developing an indoor navigation system based only on Micro-Electro-Mechanical Systems (MEMS) accelerometer and gyroscope sensors. The major advantage of the proposed inertial navigation system consists on the fact that it does not require any complex infrastructure to be able to operate. For determining the distance it uses three axis accelerometer sensors,...

In this paper, the CFD approach is used to simulate the thermal behavior in a sensitive high-Q gyroscope. The electromagnetically driving wires, in which the alternating current flows, are treated as Joule heat sources in the model. We found that the differences of the temperature, pressure and velocity along the driving direction and transversely across the proof masses increased as the gap he...

We report significant performance improvement of a mode-locked fiber laser gyroscope. A Fabry-Perot cavity GaAlAs laser diode whose front facet was antireflection coated was used as a gain medium. The rms noise equivalent rotation rate measured with a time-interval counter was improved to 0.06deg/ radicalh. The long-term drift of the gyroscope signal was reduced to 100deg/ radicalh after a pola...

In this letter we work out the secular precession of the spin of a gyroscope in geodesic motion around a central mass in the framework of the Dvali-Gabadadze-Porrati multidimensional gravity model. Such an effect, which depends on the mass of the central body and on the orbit radius of the gyroscope, contrary to the precessions of the orbital elements of the orbit of a test body, is far too sma...