Parity Check Based Descriptor for Hand Gesture Detection and Recognition

2020 ◽  
Author(s):  
Satya Narayan ◽  
S. K. Vipparthi ◽  
A.P. Mazumdar
Keyword(s):  
Hand Gesture ◽  
Parity Check ◽  
Hand Gesture Detection ◽  
Detection And Recognition

scholarly journals Face Authenticated Hand Gesture Based Human Computer Interaction for Desktops

2020 ◽  
Vol 20 (4) ◽  
pp. 74-89
Author(s):  
Venkat Mukthineni ◽  
Rahul Mukthineni ◽  
Onkar Sharma ◽  
Swathi Jamjala Narayanan
Keyword(s):  
Virtual Reality ◽  
Augmented Reality ◽  
Human Computer Interaction ◽  
Recognition System ◽  
Hand Gesture ◽  
Gesture Control ◽  
Specialized Equipment ◽  
Hand Gesture Detection ◽  
Detection And Recognition ◽  
Computer Interaction

AbstractHand gesture detection and recognition is a cutting-edge technology that is getting progressively applicable in several applications, including the recent trends namely Virtual Reality and Augmented Reality. It is a key part of Human-Computer Interaction which gives an approach to two-way interaction between the computer and the user. Currently, this technology is limited to expensive and highly specialized equipment and gadgets such as Kinect and the Oculus Rift. In this paper, various technologies and methodologies of implementing a gesture detection and recognition system are discussed. The paper also includes the implementation of a face recognition module using the Viola-Jones Algorithm for authentication of the system followed by hand gesture recognition using CNN to perform basic operations on the laptop. Any type of user can use gesture control as an alternative and interesting way to control their laptop. Furthermore, this can be used as a prototype for future implementations in the field of virtual reality as well as augmented reality.

scholarly journals Real Time Conversion of Hand Gestures to Speech using Vision Based Technique

2019 ◽  
Vol 8 (9) ◽  
pp. 3184-3190
Keyword(s):  
Convex Hull ◽  
Sign Language ◽  
Basic Structure ◽  
Peak Detection ◽  
Hand Gesture ◽  
Speech Impairment ◽  
Text To Speech ◽  
Background Elimination ◽  
Hand Gesture Detection ◽  
Detection And Recognition

Sign Language is one of the most common approaches of communication usually used by people having hearing and speech impairment. These languages consist of well-defined set of gestures or pattern and sequence of actions that conveys meaningful words and sentences. The paper presents different algorithms and techniques for automation of single hand gesture detection and recognition using vision based methods. The paper uses basic structure of hand and properties like centroid for detecting the pattern formed by the fingers and thumb and assigning code bits i.e. converting each gesture into a set of 5 digits representation and motion is detected using movement of centroid in each frame. The paper uses techniques like K-means Clustering or Thresholding for background elimination; Convex Hull or a proposed algorithm for peak detection and text to speech API for conversion of words/sentences corresponding to gestures to speech. Combinations of different techniques like thresholding and convex hull or Clustering and proposed algorithm is implemented and results are compared.

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