Cai Mengmeng^1,2, Feng Zhiquan^1,2 and Luan Min^1,2, ¹University of Jinan, China and ²Shandong Provincial Key Laboratory of Network-based Intelligent Computing, China

Implicit interaction based on context information is widely used and studied in the virtual scene. In context based human computer interaction, the meaning of action A is well defined. For instance, the right wave is defined turning paper or PPT in context B, And it mean volume up in context C. However, Select object in a virtual scene with multiple objects, context information is not fit. In view of this situation, this paper proposes using the least squares fitting curve beam to predict the user's trajectory, so as to determine what object the user’s wants to operate .And fitting the starting position of the straight line according to the change of the discrete table. And using the bounding box size control the Z variable to move in an appropriate location. Experimental results show that the proposed in this paper based on bounding box size to control the Z variables get a good effect; by fitting the trajectory of a human hand, to predict the object that the subjects would like to operate. The correct rate is 88.6%.

Least-squares method; gesture recognition; human-computer interaction; visualization; implicit interaction; Context information