software piracy and intellectual property theft has brought about a financial decrease in revenue for the producers of software systems. Moreso, malicious end-users act as Man-At-The-End (MATE) attackers and dangerous...
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This paper presents Finger Based Technique (FBT) prototypes, a novel interaction system for blind users, which is especially designed and developed for non-visual touch screen devices and their applications. The FBT p...
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ISBN:
(纸本)9789881925275
This paper presents Finger Based Technique (FBT) prototypes, a novel interaction system for blind users, which is especially designed and developed for non-visual touch screen devices and their applications. The FBT prototypes were developed with virtual keys to be identified based on finger holding positions. Two different models namely the single digit FBT and double digit FBT were propounded. FBT technique were applied using two different phone dialer applications: a single digit virtual key for the single digit FBT model and a double digit virtual key with audio feedback enabling touch as input gesture for the later one. An evaluation with 7 blind participants showed that single digit FBT was significantly faster and more accurate than double digit FBT. In addition to that, single digit FBT was found to be much faster than iPhone VoiceOver entry speeds in performing similar tasks. Furthermore, our research also suggests 11 accessible regions for quick access or navigation in flat touch screen based smart phones for blind users. These accessible regions will serve as a usability design framework and facilitate the developers to place the widget for the blind user for dynamic interaction with the touch screen devices. As far as is known to the authors, this is a novel suggestion.
Bike sharing system has emerged as a popular transportation system. Each ride accumulates data which includes bike id, trip information, station information, etc. Prevailing weather conditions also play a major role i...
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Identifying misbehaviors is an important challenge for monitoring, fault diagnosis and intrusion detection in wireless sensor networks. A key problem is how to minimise the communication overhead and energy consumptio...
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Chemical sensor networks are used to detect the presence of hazardous chemicals released intentionally or accidentally into the atmosphere. Although many performance attributes of chemical sensor networks, such as ene...
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We are currently living in societies that are profoundly concerned about the impact of current and potential technologies on our present and future lives. How is the future of Artificial Intelligence (AI) impact perce...
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Vehicle to everything (V2X) is the new and revolutional phenomena of the recent era. In V2X environment, the data security of data and information is the most significant parameter, as the information is shared on the...
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In this artical, four evolutionary programming algorithms (Standard EP, Meta-EP, Continuous Standard EP and Continuous Meta-EP algorithms) are applied to test to maximizing a solution against a highly multimodal test ...
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Heart rate variability (HRV) power spectrum analysis is a well-known technique used to study the activity of the autonomic nervous system. It is performed by calculating the spectral power of certain bands of the RR t...
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ISBN:
(纸本)9789898425898
Heart rate variability (HRV) power spectrum analysis is a well-known technique used to study the activity of the autonomic nervous system. It is performed by calculating the spectral power of certain bands of the RR time series. There are several tools that perform this type of analysis: Kubios HRV, PhysioNet's HRV toolkit for MatLab and aHRV, among others. All these tools use the Short Fourier Transform to estimate spectral power. However, the RR time series is a non-stationary signal. The Wavelet transform is often a more suitable tool for analyzing non-stationary signals than the Short Time Fourier Transform. Its usefulness in HRV analysis has already been proven in the literature. However, the lack of HRV analysis tools that support it has made this technique underutilized in HRV studies. In this paper we present an extension to the RHRV opensource package that enables Wavelet-based HRV spectral analysis. Until now this package only supported HRV spectral analysis based on the Fourier transform.
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