The technology of sign language processing is a practical technology around the world. Dataglove is an important device of sign language information system. The thesis mainly deals with developing dataglove and data fusion of this dataglove. Under the support of "863" national high-tech project "Researching and Developing a Kind of High Performance and Low Cost Dataglove", styles of datagloves and characteristics of sensors are investigated and analyzed. In this thesis, new kinds of bend sensor and dataglove are developed and the methods of their data fusion are deeply researched. Intention of the research is to guarantee low cost and high performance of the dataglove and real-time of data fusion methods. The main work and contribution of this thesis are as follows: Firstly, a new kind of bend sensor is developed. Angle characteristics of the sensor are gotten by experiment and analyzing. The manufacturing materials and structure of the sensor make it own characteristics of not only high reliability but also flexibility and lightweight. Its characteristics ensure the veracity and sufficiency of measuring. It can be used to detect the bend angle of an object or inclination between two objects. When the sensor is used with a proper converting circuit, it can implement dynamic measuring the bend angle of an object conveniently. It is especially suited for the kind of task in which the angle needs not to be measured with high precision but needs to be measured continuously and in real-time. Secondly, based on the new sensor, a new kind of dataglove named CAS Glove is developed. Its basic function is to measure the movement of user's hand in real- time and transfer the information to computer system. It can be used as input device of sign language in virtual reality system or sign language recognition system. One of important features of this datagove is the real time of measuring. The signal converting circuit and A/D sampling circuit of the dataglove are also developed. Experiments indicate this dataglove can complete the imprecision measuring of fingers' angles. Thirdly, for the datagove is one sub-system of sign language information system, its bottom layer information fusion is studied. 1. Considering the experiment data, we establish compatibility relation, a kind of fuzzy measure and IOWA operator of the dataglove's bottom information fusion. Parameter a of bottom fusion function can be gotten by real-time data based on fuzzy techniques. 2. Label information is fused. 3. To the specialties of the sensor in the dataglove, conservative angle and risk angle are fused by improved method of EOMF ( expected output membership function ). Experiment data show these fusion techniques are suitable for bottom data fusion of the dataglove. Fourthly, bend sensors fusion and abduction sensors fusion are executed respectively according to the specialties of hand model and 30 Chinese basic letters. Based on the uncertaintie
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