เหตุผลที่ฉันฝึกอบรม

เหตุผลที่ฉันฝึกอบรม

ผลลัพธ์ (อังกฤษ) 1:

The reason why I'm training.

ผลลัพธ์ (อังกฤษ) 2:

The reason I'm training

ผลลัพธ์ (อังกฤษ) 3:

Computational modeling of human behavior has.Become a very important field of computer vision. Gesture.Recognition allows people to interact with machines in a natural.Way without the use of dedicated I / O devices. This paper presents.A simple system that can recognize dynamic and static gestures.Using the depth map and the higher level output (skeleton and.Facial features) provided by a Kinect sensor. Two approaches are.Chosen for the recognition task: the Dynamic Time Warping.Algorithm is used to recognize dynamic gestures while a,,Bayesian classifier is used for the static gestures / postures. In.Contrast with some specialized methods presented in the.Literature the current, approach is very generic and can be used.With minimal modification for recognizing a large variety of.Gestures. As a result it can, be deployed in a multitude of fields.From security (monitoring rooms and sending alarm signals),Medicine (helping people with physical disabilities) to education.And so on. The tests results show that the system, is accurate easy.To use and highly customizable.