Control buggy using Leap sensor camera in Data Mining Domain
Author(s):
Kurup Amitha , Jadhav Snehal , Makar Shraddha, Ghule Priyanka
Keywords:
Leap motion, gesture, Euclidean distance, cosine similarity, Trajectory feature, gesture recognition
Abstract
This paper explores a new challenge: modeling the devices or framework semi-automatically. This framework or gadget work utilizing gestures. We control system utilizing distinctive gestures. The hand movement data is caught utilizing leap sensor motion camera. To identify appropriate motion we separate diverse features of different gesture from hand motion data. For extracting highlights we utilize eucludial distance formula and for comparision we use cosine similarity equation. We likewise have an elective method for correlation which is KNN. In the past framework 3D camera was utilized so they had less exactness. In this paper we have extracted more features so this framework is more exact than the past one. This framework diminishes human endeavors and it can lessen mischances to a more noteworthy broaden. Such framework would make driving simple and agreeable.
Article Details
Unique Paper ID: 146526

Publication Volume & Issue: Volume 4, Issue 12

Page(s): 855 - 860
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