A Super Fast Attitude Determination Algorithm for Consumer-Level Accelerometer and Magnetometer

Fall Detection Algorithm Based on Triaxial Accelerometer and Magnetometer

Fall is a precipitous drop from a height, or from a higher position, which may be accompanied by injuries. This is one of the most dangerous and fearful situation in the elderly living. This is the reason, fast and early detection of the fall is very important to save and rescue the people and avoid the badly prognosis. In this article we are presenting a thresholdbased fall detection algorithm...

Attitude determination method using single-antenna GPS, Gyro and Magnetometer

1 Attitude determination method using single-antenna GPS, Gyro and Magnetometer Heekwon No, Am Cho, Youngmin Han, Hongki Song, Ojong Kim, Sungyong Lee, Deokhwa Han and Changdon Kee Seoul National University, Mechanical and Aerospace Engineering Dept., Seoul, Korea Korea Aerospace Research Institute, Daejeon, Korea Hyundai Motor Company, Driving Assistance System Development Team, Seoul, Korea -...

A Predictive Attitude Determination Algorithm

In this paper, a new and efficient algorithm is developed for attitude determination from vector observations. The new algorithm, called the Predictive Attitude Determination (PAD) algorithm, is derived from a general nonlinear predictive filter approach. Traditional deterministic algorithms are shown to be suboptimal for anisotropic measurement errors. The major advantage of the PAD algorithm ...

A Super Fast Registration Algorithm

Greed is Super: A Fast Algorithm for Super-Resolution

We present a fast two-phase algorithm for super-resolution with strong theoretical guaran-tees. Given the low-frequency part of the spectrum of a sequence of impulses, Phase I consistsof a greedy algorithm that roughly estimates the impulse positions. These estimates are thenrefined by local optimization in Phase II.In contrast to the convex relaxation proposed by Candès et ...