scholarly journals A Real-Time Pinch-to-Zoom Motion Detection by Means of a Surface EMG-Based Human-Computer Interface

Sensors ◽  
2014 ◽  
Vol 15 (1) ◽  
pp. 394-407 ◽  
Author(s):  
Jongin Kim ◽  
Dongrae Cho ◽  
Kwang Lee ◽  
Boreom Lee
Keyword(s):  
Real Time ◽  
Motion Detection ◽  
Surface Emg ◽  
Computer Interface ◽  
Human Computer Interface

Real time vision-based hand gesture estimation for a human-computer interface

1997 ◽  
Vol 28 (7) ◽  
pp. 76-88 ◽  
Author(s):  
Koichi Ishibuchi ◽  
Keisuke Iwasaki ◽  
Haruo Takemura ◽  
Fumio Kishino
Keyword(s):  
Real Time ◽  
Computer Interface ◽  
Hand Gesture ◽  
Human Computer Interface

The Calibration & Monitor System of Battery Operation Parameters Simulation Generator Based on LabVIEW

2013 ◽  
Vol 645 ◽  
pp. 272-275 ◽  
Author(s):  
Jie Zeng ◽  
Li Jiang ◽  
Yuan Ma
Keyword(s):  
Real Time ◽  
Data Storage ◽  
Virtual Instrument ◽  
Computer Interface ◽  
Battery Management ◽  
Human Computer Interface ◽  
Online Data ◽  
Management Units ◽  
Time Calibration ◽  
Operation Parameters

A battery operation parameters simulation generator was specially designed for testing battery management units. Its purpose is to provide a test platform for the industrialization of the battery management units. The parameters simulation generator can provide the battery in various conditions of voltage, current, temperature and other analog signals. In order to calibrate the battery simulation parameters in real-time, a complete set of the calibration and monitoring interface was designed based on LabVIEW (Laboratory Virtual Instrument Engineering Workbench) environment. The human-computer interface can achieve calibration control of voltage, current, temperature signals online, data analysis, data display, data storage, and fault diagnosis. Test results show that the developed human-computer interface is able to realize real-time calibration and monitoring functions for battery operation parameters simulation generator. Furthermore，the interface also has good real-time and stability, and has a certain application value on the testing and evaluation of the battery management unit.

Real-Time Face Tracking System for Augmented Reality

2009 ◽  
Author(s):  
Yi-Ting Tu ◽  
Shana Smith
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Tracking System ◽  
Direct Interaction ◽  
Principal Component ◽  
Face Tracking ◽  
Computer Interface ◽  
Human Computer Interface ◽  
Training Time ◽  
Augmented Reality Technology

In this paper, we apply augmented reality technology to make human computer interface more technically advanced and interesting. We present a real-time face tracking system for augmented reality, which will be used in electronic commerce, to help shoppers acquire a more direct interaction with the products they purchase. A real-time face tracking mechanism can enhance the realism of online shopping. In order to emphasize the convenience and practicability of our system, we used plug-in functions and Principal Component Analysis (PCA) to conduct real-time face tracking and Neural Networks (NN) to reduce training time and achieve valid recognition. Convenience and uniqueness are the other main parts of this system.

Eyeing a real-time human-computer interface to assist those with motor disabilities

2008 ◽  
Vol 27 (3) ◽  
pp. 19-25 ◽  
Author(s):  
Anaelis Sesin ◽  
Malek Adjouadi ◽  
Melvin Ayala ◽  
Mercedes Cabrerizo ◽  
Armando Barreto
Keyword(s):  
Real Time ◽  
Computer Interface ◽  
Human Computer Interface ◽  
Motor Disabilities

scholarly journals Development of an Eye Tracking-Based Human-Computer Interface for Real-Time Applications

Sensors ◽  
2019 ◽  
Vol 19 (16) ◽  
pp. 3630 ◽  
Author(s):  
Radu Gabriel Bozomitu ◽  
Alexandru Păsărică ◽  
Daniela Tărniceriu ◽  
Cristian Rotariu
Keyword(s):  
Eye Tracking ◽  
Real Time ◽  
Detection Rate ◽  
Detection Algorithm ◽  
Computer Interface ◽  
Human Computer Interface ◽  
Detection Techniques ◽  
Scene Image ◽  
Real Time Applications ◽  
Circular Target

In this paper, the development of an eye-tracking-based human–computer interface for real-time applications is presented. To identify the most appropriate pupil detection algorithm for the proposed interface, we analyzed the performance of eight algorithms, six of which we developed based on the most representative pupil center detection techniques. The accuracy of each algorithm was evaluated for different eye images from four representative databases and for video eye images using a new testing protocol for a scene image. For all video recordings, we determined the detection rate within a circular target 50-pixel area placed in different positions in the scene image, cursor controllability and stability on the user screen, and running time. The experimental results for a set of 30 subjects show a detection rate over 84% at 50 pixels for all proposed algorithms, and the best result (91.39%) was obtained with the circular Hough transform approach. Finally, this algorithm was implemented in the proposed interface to develop an eye typing application based on a virtual keyboard. The mean typing speed of the subjects who tested the system was higher than 20 characters per minute.

scholarly journals Human Computer Interface for Wheelchair Movement

2017 ◽  
Vol 14 (2) ◽  
pp. 437-447
Author(s):  
Baghdad Science Journal
Keyword(s):  
Real Time ◽  
Physical Disability ◽  
Pulse Width Modulation ◽  
Fast Response ◽  
Computer Interface ◽  
Human Computer Interface ◽  
Human Face ◽  
Disabled People ◽  
The Disabled ◽  
Promising Solution

This paper aims to develop a technique for helping disabled people elderly with physical disability, such as those who are unable to move hands and cannot speak howover, by using a computer vision; real time video and interaction between human and computer where these combinations provide a promising solution to assist the disabled people. The main objective of the work is to design a project as a wheelchair which contains two wheel drives. This project is based on real time video for detecting and tracking human face. The proposed design is multi speed based on pulse width modulation(PWM), technique. This project is a fast response to detect and track face direction with four operations movement (left, right, forward and stop). These operations are based on a code written in MATLAB environment and Arduino IDE environment. The proposed system uses an ATmega328microcontroller (Arduino UNO board).

Real-Time Myocontrol of a Human–Computer Interface by Paretic Muscles After Stroke

2018 ◽  
Vol 10 (4) ◽  
pp. 1126-1132 ◽  
Author(s):  
Chun Yang ◽  
Jinyi Long ◽  
M. A. Urbin ◽  
Yanyun Feng ◽  
Ge Song ◽  
...  
Keyword(s):  
Real Time ◽  
Computer Interface ◽  
Human Computer Interface
Sign in / Sign up

Export Citation Format

Share Document