Basics of qualitative research: Grounded theory procedures and techniques

Data Mining - Concepts and Techniques.

International Journal of Computer and Applications

A scheme is developed for classifying the types of motion perceived by a humanlike robot. It is assumed that the robot receives visual images of the scene using a perspective system model. Equations, theorems, concepts, clues, etc., relating the objects, their positions, and their motion to their images on the focal plane are presented. >

http://ieeexplore.ieee.org/iel2/815/3148/00100651.pdf

Robot vision

Cyclostationarity: half a century of research

Gesture recognition is essential for human — machine interaction. In this paper we propose a method to recognize human gestures using a Kinect® depth camera. The camera views the subject in the front plane and generates a depth image of the subject in the plane towards the camera. This depth image is then used for background removal, followed by generation of the depth profile of the subject. In addition to this, the difference between subsequent frames gives the motion profile of the subject and is used for recognition of gestures. These allow the efficient use of depth camera to successfully recognize multiple human gestures. The result of a case study involving 8 gestures is shown. The system was trained using a multi class Support Vector Machine.

Kanad K. Biswas

Papers

Gesture recognition using Microsoft Kinect

Region-based image retrieval using integrated color, shape, and location index

Generalized intuitionistic fuzzy soft sets with applications in decision-making

Development of Efficient CNN model for Tomato crop disease identification

A fuzzy theoretic approach for video segmentation using syntactic features