Downloads: 128 | Views: 257
M.Tech / M.E / PhD Thesis | Electronics & Communication Engineering | India | Volume 6 Issue 6, June 2017 | Popularity: 6.4 / 10
A Natural Hand Gesture and EYE Movement System for Intelligent HCI and Medical Assistance
Sahane S. T., Ubale V. S.
Abstract: This paper intends to explain various gesture recognition methods that are employed in wheelchair used for navigation and that is affordable by the people in developing nations. The need for assistive navigation technologies for elderly has increased due to the modern life style and nuclear family. Moreover navigation using a manually operated wheelchair, which is common in use, is difficult for people with arms or hand impairments. The technology must enable the user to gain a level of independence at least in day to day activities. In this technique we are going to implement the two methods that is hand gesture and improved eye ball control system combinally for better implementation.
Keywords: Hand Gesture, Eye ball movement, HCI
Edition: Volume 6 Issue 6, June 2017
Pages: 576 - 582
Make Sure to Disable the Pop-Up Blocker of Web Browser
Similar Articles
Downloads: 3
Review Papers, Electronics & Communication Engineering, India, Volume 10 Issue 4, April 2021
Pages: 1349 - 1355Review on CNN based Sign Language Recognition Methods
Akash Vijayan, Sajeena .A
Downloads: 94
Review Papers, Electronics & Communication Engineering, India, Volume 4 Issue 10, October 2015
Pages: 939 - 942Robust Part Based Hand Gesture Recognition Using Kinect Sensor: A Review
Sohan Belsare, K. Sujatha
Downloads: 111
M.Tech / M.E / PhD Thesis, Electronics & Communication Engineering, India, Volume 3 Issue 6, June 2014
Pages: 2201 - 2205Vision-Based Hand Gestures to Control Music in Human Machine Interaction
Seema Lalitkumar Khairnar Devkule, Gunjan Rathore
Downloads: 112
Research Paper, Electronics & Communication Engineering, India, Volume 7 Issue 4, April 2018
Pages: 1161 - 1164Design of Hand Gesture based Communication System for Speech Impaired Persons
Ashlesha S. Raut, Yogesh Motey
Downloads: 116
Research Paper, Electronics & Communication Engineering, India, Volume 3 Issue 8, August 2014
Pages: 765 - 769Hand Gesture Recognition Application for Physically Disabled People
D. Vishnu Vardhan, P. Penchala Prasad