چكيده به لاتين
With the advent of laparoscopic surgery, a significant revolution in surgery was made, and it quickly gained attention due to its significant advantages, including less pain and faster recovery. Of course, this method also has defects, the most basic of which was placing the surgeon in an unergonomic position on the patient's bed for a long time. After the operation of this type of surgery, the idea of the presence of surgeon robots in the operating room solved many problems of laparoscopy and provided advantages such as remote surgery. Next, introduced a suitable user interface named the leap motion sensor to give the doctor the possibility of precise control of the surgeon robot. Due to the lack of direct physical contact, this sensor is a suitable option for use in sterile environments such as the operating room. In addition, due to its low price, easy portability, high accuracy, and simplicity of use, the leap motion sensor is a very suitable alternative to other user interfaces and ideal for use in educational environments. Also, in microsurgical surgeries, the human hand has many limitations, which are minimized in the robot. But every mistake in the writing movement makes the surgery more complex, and every hand tremor causes changes in the surgical process. Different methods can minimize the errors caused by the sensor and the surgeon’s hand in surgical training for laparoscopic surgery. This thesis aims to reduce the errors caused by the leap motion sensor, such as delay, noise, disturbance, and surgeon's hand errors, such as hand tremors, using data processing.
