Abstract
Real-time control and monitoring systems uses sensors (accelerometers and gyroscopes), that can be applied to design inertial mouse, object tracking, motion sensing, stabilization and other systems. In order to acquire high system accuracy, most of the implementations demands huge real-time computing. Therefore, the prototype of real-time control system was designed using sensor fusion algorithm that ensures accurate various systems controls with minimal computing resources. Accelerometer data read and accelerometer with gyroscope fusion algorithm results were compared and simple 3D visualization was presented to verify and visually demonstrate the efficiency of proposed real-time control system prototype. DOI: http://dx.doi.org/10.5755/j01.eee.18.10.3064
Highlights
In modern society gyroscopes, accelerometers and magnetometers are dominant sensors in consumer electronics
User interfaces, augmented reality, image stabilization, handsets, gaming and pointing devices, motion sensing, medical and industrial instrumentation, orientation estimation systems [1], [2], hard disk drive protection and other applications are based on these sensors (Fig. 1)
In order to verify the effectiveness of sensor fusion algorithm for prototype of real-time control system, the data were analyzed and the following experiments were performed: 1) Sensor board in stable state; 2) Sensor board tilting without vibrations; 3) Sensor board tilting applying vibrations by tapping it
Summary
Accelerometers and magnetometers are dominant sensors in consumer electronics. The authors thank the Project LLII-061 Development of Joint Research and Training Centre in High Technology Area Subsidy Contract No: LV-LT/1.1./LLII-061/2010/) for the possibility to complete a scientific research. Tracking techniques are based on image recognition [3]– [7], to ensure effective real-time interface with robots. This method has lots of problems: firstly, because of the lighting conditions, secondly, there is a huge demand of real time computing because of the chaotic and various environment backgrounds and, lastly, the complexity of hand, that has more than 20 degrees of freedom and the more degrees of freedom we have the more computing resources we need
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