A user-friendly wearable single-channel EOG-based human-computer interface for cursor control

The recent introduction of microcomputers to the business and research communities has vastly increased the population of users exposed to general purpose software programs. These users, however, often lack the level of sophistication and computer expertise characterized by those who interact with minicomputers or mainframes, making the development of user-friendly general purpose software very challenging. This paper describes the conversion of a multivariate statistical software package from operation on a mainframe computer to a microcomputer and the redesign of its human-computer interface, allowing the program to be employed by a more diverse user population.

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FRACTAL PROPERTIES OF SURFACE ELECTROMYOGRAM FOR CLASSIFICATION OF LOW-LEVEL HAND MOVEMENTS FROM SINGLE-CHANNEL FOREARM MUSCLE ACTIVITY

Journal of Mechanics in Medicine and Biology ◽

10.1142/s0219519411003867 ◽

2011 ◽

Vol 11 (03) ◽

pp. 581-590 ◽

Cited By ~ 9

Author(s):

SRIDHAR P. ARJUNAN ◽

DINESH K. KUMAR

Keyword(s):

Muscle Contraction ◽

Muscle Activity ◽

Single Channel ◽

Computer Interface ◽

Hand Movements ◽

Human Computer Interface ◽

Wrist Flexion ◽

Surface Electromyogram ◽

Fractal Properties

Surface electromyogram (sEMG) has been used in the identification of various hand movements which can lead to a number of rehabilitation, medical, and human computer interface applications. These applications are currently in need of higher accuracy and become challenging because of its unreliability in the classification of sEMG when the level of muscle contraction is low and when there are multiple active muscles. The presence of noise and cross-talk from closely located and simultaneously active muscles is exaggerated when muscles are weakly active such as during sustained wrist and finger flexion. This study reports the use of fractal properties of sEMG to identify the small changes in strength of muscle contraction and the location of the active muscles. It is observed that the fractal dimension (FD) of the signal is related to the complexity of the muscle contraction while maximum fractal length (MFL) is related to the strength of contraction of the associated muscle. The results show that the MFL and FD of a single-channel sEMG from the forearm can be used to accurately identify a set of finger-and-wrist flexion-based actions even when the muscle activity is very weak. It is proposed that such a system could be used to control a prosthetic hand or for a human computer interface.

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Interface Design of the Location-Based M-Tourism Application

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.302.658 ◽

2013 ◽

Vol 302 ◽

pp. 658-662

Author(s):

Kuo Wei Su ◽

Chao Hung Wang ◽

Po Hung Chen ◽

Yi Ying Wu

Keyword(s):

Global Positioning System ◽

Interface Design ◽

Mobile Internet ◽

Location Based Services ◽

Computer Interface ◽

Positioning System ◽

Human Computer Interface ◽

Gps Technology ◽

Global Positioning ◽

User Friendly

Along with the development of smartphones and tablets world-widely, and the progress of mobile internet and Wi-Fi hotspots, users can acquire information via mobile devices anytime and anywhere.In recent years, Taiwan's tourism is flourishing, more and more foreign travelers come to visit Taiwan.Therefore, providing a user-friendly M-tourism system for foreign travelers can help them to experience more during traveling.We referred the theories of human-computer interface design to develop our M-tourism system—the LBS M-tourism Application.This system not only provides online traveling information, but integrates with location-based services (LBS). The LBS M-tourism Application can use global positioning system (GPS) technology, and provide traveling information or services to the user based on his/ her present location.

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