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human computer interface and optimized electro-mechanical design for Chinese Braille display

MECHANISM AND MACHINE THEORY 2008年第12期43卷 1495-1518页

作者： Yeh, Fung-Huei Tsay, Huoy-Shyi Liang, Shih-Hao Tamkang Univ Tamsui 251 Taipei County Taiwan

This study presents an effective and economically viable human computer interface (HCI) for visually impaired people using Microsoft Chinese Windows. The HCI includes the innovative assistive software, called Chinese screen reader (CSR), supporting an electro-mechanical Chinese Braille display, called Golden Braille display (GBD). The CSR overcomes many previous problems, such as homonym and mouse pointer. The GBD is optimized by Adaptive-Network-based Fuzzy Inference System (ANFIS) to obtain a sufficient thrust force for Braille dots while maintaining flapper temperature within limits. (C) 2008 Elsevier Ltd. All rights reserved.

关键词： Chinese Braille display flapper actuator human computer interface visually impaired people ANFIS

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human computer interface Design for Neonatal Intensive Care with Data Mining

Human Computer Interface Design for Neonatal Intensive Care ...

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4th International Conference on Intelligent human computer Interaction (IHCI)

作者： Agarwal, Sonali Pandey, G. N. Indian Inst Informat Technol Allahabad Uttar Pradesh India

ISBN: (纸本)9781467343695;9781467343671

Neonatal Intensive care Unit (NICU) is capable of caring newborns and premature babies during their first four weeks of life. This could help to improve child mortality rate because 41% of all child death is reported during their neonatal period. Hence, a state of art modern Neonatal Intensive Care Unit is a prime need of any nation in order to improve child health and subsequently for socio economic development of a country like India. A Neonatal Intensive care Unit (NICU) consist multiple life saving machines which are continuously recording vital parameters of neonates and generating vast data at very high frequency. A context aware based timely monitoring of such systems is a crucial task which could able to help medical experts for efficient decision making. Considering multiple vital parameters and taking decision in a real time situation could be more improved by having efficient decision support system based on strong human computer interaction. In this present research work a human computer interface for Neonatal Intensive Care Unit has been proposed which utilizes Support Vector Machine to classify the health condition of neonates. A prognostic Index has been proposed which could be calculated on the basis of seven important vital parameters. Based on the value of Prognostic Index clinical rules may be identified to initiate alarms about the neonate health condition.

关键词： Neonatal Intensive care Unit (NICU) human computer interface Prognostic Index Support Vector Machine Decision Support System

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A practical efficient human computer interface based on saccadic eye movements for people with disabilities

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computerS IN BIOLOGY AND MEDICINE 2016年 70卷 163-173页

作者： Soltani, Sima Mahnam, Amin Univ Isfahan Dept Biomed Engn Fac Engn Hezar Jirib Ave Esfahan Iran

human computer interfaces (HCI) provide new channels of communication for people with severe motor disabilities to state their needs, and control their environment. Some HCI systems are based on eye movements detected from the electrooculogram. In this study, a wearable HCI, which implements a novel adaptive algorithm for detection of saccadic eye movements in eight directions, was developed, considering the limitations that people with disabilities have. The adaptive algorithm eliminated the need for calibration of the system for different users and in different environments. A two-stage typing environment and a simple game for training people with disabilities to work with the system were also developed. Performance of the system was evaluated in experiments with the typing environment performed by six participants without disabilities. The average accuracy of the system in detecting eye movements and blinking was 82.9% at first tries with an average typing rate of 4.5 cpm. However an experienced user could achieve 96% accuracy and 7.2 cpm typing rate. Moreover, the functionality of the system for people with movement disabilities was evaluated by performing experiments with the game environment. Six people with tetraplegia and significant levels of speech impairment played with the computer game several times. The average success rate in performing the necessary eye movements was 61.5%, which increased significantly with practice up to 83% for one participant. The developed system is 2.6 x 4.5 cm in size and weighs only 15 g, assuring high level of comfort for the users. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： People with disabilities Electro-oculogram human computer interface Saccadic eye movement Wearable systems

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Offline Analysis for Designing Electrooculogram Based human computer interface Control for Paralyzed Patients

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IEEE ACCESS 2018年 6卷 79151-79161页

作者： Gu Jialu Ramkumar, S. Emayavaramban, G. Thilagaraj, M. Muneeswaran, V. Rajasekaran, M. Pallikonda Hussein, Ahmed Faeq Nanjing Univ Chinese Med Dept Econ Nanjing 210046 Jiangsu Peoples R China Kalasalingam Acad Res & Educ Sch Comp Krishnankoil 626126 India Karpagam Acad Higher Educ Dept Elect & Elect Engn Coimbatore 641021 Tamil Nadu India Kalasalingam Acad Res & Educ Sch Elect & Elect Technol Krishnankoil 626126 India Al Nahrain Univ Biomed Engn Dept Coll Engn Baghdad 10072 Iraq

Currently, majority of persons were immobilized and need aid from caretakers due to disability. To reduce and overcome such problem, there was a need for developing human-computer interface (HCI) with the help of biosignals. In this paper, we propose a two-channel elecctrooculograpy (EOG)-based HCI to encourage the contact ability as well as value of life for paralyzed persons who cannot speak or shift their extremity by using 20 subjects with the help of ADT26 Bio amplifier. EOG signals were collected for 11 tasks from both vertical and horizontal eye movement by using gold-platted electrodes. The extracted EOG signals were processed with convolution and Plancherel theorem to obtain the features. Layered recurrent neural network (LRNN) was implemented to analyze the extracted features and then converted into a sequence of commands to control the HCI. A graphical user interface was developed using MATLAB to help a user to convey their thoughts. This paper shows an average classification accuracy of 90.72% for convolution features and 91.28% for Plancherel features. Off-line single trail analysis was also performed to analyze the recognition accuracy of the proposed HCI system. The off-line analysis displayed that Plancherel features using LRNN were high compared to convolution features using LRNN. From this paper, we found that LRNN architecture using Plancherel features was more suitable for developing EOG-based HCI. Single trail analysis was conducted to identify the recognizing accuracy in offline. The off-line results indicated that in comparison with other EOG-based HCI systems, our system was user friendly and needs minimum training to operate.

关键词： Elecctrooculograpy human computer interface layered recurrent neural network amyotrophic lateral sclerosis

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Design of an Accelerometer-controlled Myoelectric human computer interface

Design of an Accelerometer-controlled Myoelectric Human Comp...

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7th International Conference on MEMS, NANO and Smart Systems (ICMENS 2011)

作者： Lalitha, Anusha Thakor, Nitish V. Indian Inst Technol Gandhinagar Dept Elect Engn Gandhinagar India Johns Hopkins Univ Dept Biomed Engn Baltimore MD 21218 USA

ISBN: (纸本)9783037853122

The purpose of this study is to develop an alternate in-air input device which is intended to make interaction with computers easier for amputees. This paper proposes the design and utility of accelerometer controlled Myoelectric human computer interface (HCI). This device can function as a PC mouse. The two dimensional position control of the mouse cursor is done by an accelerometer-based method. The left click and right click and other extra functions of this device are controlled by the Electromyographic (EMG) signals. Artificial Neural Networks (ANNs) are used to decode the intended movements during run-time. ANN is a pattern recognition based classification. An amputee can control it using phantom wrist gestures or finger movements.

关键词： Myoelectric human computer interface Electromyographic (EMG) signals Artificial Neural Networks pattern recognition phantom movements

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An accelerometer-based human computer interface driving an alternative communication system

An accelerometer-based human computer interface driving an a...

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5th ISSNIP-IEEE Biosignals and Biorobotics Conference - Biosignals and Robotics for Better and Safer Living (BRC)

作者： Mariano, D. T. G. Freitas, A. M. Luiz, L. M. D. Silva, A. N. Pierre, P. Naves, E. L. M.

ISBN: (纸本)9781479956906

People with severe motor disabilities present reduction or absence of motor control. However, in different stages of these conditions, some people can perform voluntary movements of low amplitude. This paper presents the development of an human computer interface - HCI - for controlling an augmented and alternative communication system. The device consists of an accelerometer to capture voluntary movements performed by users who have restricted movement such as patients with amyotrophic lateral sclerosis. The sensitivity of the device is calibrated according to the amplitude of the dynamic action executed by the user, allowing the placement of the sensor in different body regions, for which the use has some level of motor control. The system was tested successfully in healthy subjects suggesting that the accelerometer can be used in patients with motor disabilities.

关键词： Assistive Technology Augmented and alternative communication Accelerometer human computer interface Motor disabilities

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A Quantitative Evaluation Method of human computer interface's Input-side of EMS

A Quantitative Evaluation Method of Human Computer Interface...

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Asia-Pacific Power and Energy Engineering Conference (APPEEC)

作者： Zhu, Quansheng Sun, Yi Liu, Rao Li, Weidong Dalian Univ Technol Sch Elect & Informat Engn Dalian Peoples R China Dalian Univ Technol Dept Elect & Elect Engn Dalian Peoples R China

ISBN: (纸本)9781424448135

With the continuous advancement of computer input technologies, more input types could be chosen and used when designing the human-computer interface of EMS. In this premise, establishing the quantitative evaluation methods of human computer interface's input-side of EMS is required. This paper presents a quantitatively evaluation method of three design elements, namely operating efficiency, cognitive load and naturalness. The structured visual manner is proposed for showing the evaluation results. At last an example is realized. With the help of the evaluation, the designers are able to compare various input types and select the right one reasonably.

关键词： human computer interface input side energy management system (EMS) quantitative evaluation

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The Emotion Component on Usability Testing human computer interface of an Inclusive Learning Management System

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1st International Conference on Learning and Collaboration Technologies (LCT)

作者： Ulbricht, Vania R. Berg, Carlos Henrique Fadel, Luciane Quevedo, Silvia R. P. Campus Univ Reitor Joao David Ferreira Lima BR-88040900 Florianopolis SC Brazil

ISBN: (纸本)9783319074825;9783319074818

Learning Management Systems - LMS supported by the Information and Communication Technologies to distribute knowledge at any time and to any place, to most different kind of people with different backgrounds. human computer interface - HCI, use known metaphors that makes the mediation between human and machine. Because humans define the metaphors, final users can find some barriers to the comprehension of them. To evaluate LMS's HCI, there are few paradigms available, but the only one who uses final users is the Usability Test - UT. These tests focus on evaluate the efficiency and efficacy of an interface, but seldom evaluate the user's emotions. In order to do that, new researches point out the importance of having the emotions evaluated. This paper aims to describe methods and techniques used to evaluate HCI using Usability Tests UT with emotions and validate one of them in the WebGD LMS at http://***/webgd/login/***.

关键词： Learning Management System human computer interface Usability Tests with Emotion

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EOG pattern recognition trial for a human computer interface

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4th International Conference on Universal Access in human-computer Interaction held at the HCI International 2007

作者： Brunner, Sara Hanke, Sten Wassertheuer, Siegfried Hochgatterer, Andreas Univ Appl Sci Linz FH Linz Med Tech Linz Austria Austrain Res Ctr GmbH ARC Linz Austria

ISBN: (纸本)9783540732808

The setup of a human computer interaction electrooculography (EOG) measurement trail for developing pattern recognition algorithms is described. With an easy to wear EOG measurement device we relized performance tests with a group of normal individuals as well as with one individual suffering from multiple sclerosis (MS). The individuals had to perform different eye movement patterns for coding information to control the environment. Different patterns of recognition in the time domain have been tried and implemented to perform online performance tests. The aim is to develop an EOG based communication device passed on pattern recognition algorithms for user with limited functionality.

关键词： electrooculography EOG pattern recognition human computer interface

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A Brain-actuated human computer interface For Google Search

A Brain-actuated Human Computer Interface For Google Search

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2nd International Conference on Biomedical Engineering and Informatics (BMEI)

作者： Xu, Honglai Qian, Tianyi Hong, Bo Gao, Xiaorong Gao, Shangkai Tsinghua Univ Dept Biomed Engn Beijing 100084 Peoples R China

ISBN: (纸本)9781424441334

A brain-actuated human computer interface for Google search is proposed in this study. Aiming at increasing system simplicity and flexibility, a steady-state visual evoked potential based system was developed by integrating simplified EEG cap, compact wireless EEG amplifier, flexible visual stimulator and user-friendly software design. A practical application for Google search which involved character input and cursor control was designed and tested on this system. 10 out of 12 subjects accomplished the task and achieved an average accuracy of 92.0%.

关键词： human computer interface Google search Electroencephalography

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