The aim of this work is the development of a localisation algorithm of the bioelectric sources using surface electromyographic (SEMG). In this paper, a feasibility study is presented : we simulate the resolution of th...
详细信息
ISBN:
(纸本)0780372115
The aim of this work is the development of a localisation algorithm of the bioelectric sources using surface electromyographic (SEMG). In this paper, a feasibility study is presented : we simulate the resolution of the SEMG inverse problem. First, we developed a program modelling the SEMG signal of the biceps brachii. To resolve the inverse problem, the localisation algorithm uses an estimation procedure. We minimise the difference between calculated potential and observed potential by successive iterations. The procedure is applied successively to the defined zones of the geometrical arm cross-section. The program locates accurately an active motor unit in a given zone, regardless of time and distance.
Face recognition is a problem with many practical applications. Modern image analysis methods such as object tracking, feature extraction, classification or verification that explore advanced techniques of machine lea...
详细信息
Face recognition is a problem with many practical applications. Modern image analysis methods such as object tracking, feature extraction, classification or verification that explore advanced techniques of machine learning and compressive sensing have been used for this purpose. Many of these methods, which are usually applied in image post-processing, are adaptable to fast intelligent viewing with a single-pixel camera. We study such a camera in the context of face recognition with limited information. We seek the optimal basis of patterns for the camera as well as to resolve practical issues related to face localisation and alignment. We compare the use of the Hadamard and eigenface bases for imaging and verification of faces. For the latter task, we develop a simple algorithm based on compressive sensing.
Although the global positioning system (GPS) has a series of advantages such as global and high precision, there are still many deficiencies, in many cases, GSP cannot meet the requirements of the positioning accuracy...
详细信息
Although the global positioning system (GPS) has a series of advantages such as global and high precision, there are still many deficiencies, in many cases, GSP cannot meet the requirements of the positioning accuracy. The iridium system is a low-orbit satellite system with a series of advantages such as global coverage, rapid geometric change, and low propagation loss, which can be combined with the GPS system to achieve the enhancement of positioning accuracy. In this study, the localisation performance of GPS system and iridium-augmented GPS system is compared using the localisation algorithm based on weighted least-squares method. The dilution of precision (DOP) values of the GPS system and the iridium-augmented GPS (iGPS) system and the positioning results before and after the iridium enhancement are calculated. The simulation results show that the iridium augment can optimise the DOP value of the GPS system, reduce the DOP value, and at the same time, when the GPS system cannot get the positioning result, a relatively accurate positioning result can still be obtained through the iridium augment, when the GPS system can get the positioning result, the iridium augment can significantly reduce the positioning error, and can makes the positioning result more accurate.
暂无评论