Person authentication using biometric information has recently become popular among researchers. User management based on biometrics is more reliable than that conventional methods. To secure private information, it necessary to build continuous authentication-based user systems. Brain waves are suitable modalities for authentication. This study brain evoked by invisible visual stimuli. Invisib...

In order to assess the influence of visual stimulation in the triggering of imbalance and falls in the elderly population, the postural responses of 18 elderly patients with central vestibular disorders and clinical evidence of instability and falls were studied while receiving different types of visual stimuli. The stimulation conditions were: (i) no specific stimuli; (ii) smooth pursuit with ...

The model of local spatial frequency provides a powerful analytical for image analysis. In stereo matching algorithms, we develop phase difference-based algorithm that use an adaptive scale selection process at the corresponding points in the two views. This takes into account surface perspective distortion (foreshortening problem).Challenges arise from the fact that stereo images are acquired ...

Abstract In this paper, a dynamic gesture recognition system is proposed using triaxial acceleration signal and image-based deep neural network. With our dexterous glove device, 1D can be measured from each finger decomposed to time-divided frequency components via wavelet transformation, which known as scalogram image-like format. To feed-forward the with single 2D convolutional networks(CNN) ...

In this work we present the wavScalogram R package, which contains methods based on wavelet scalograms for time series analysis. These are related to two main tools: windowed scalogram difference and scale index. The compares series, identifying if their follow similar patterns at different scales times, it is thus a useful complement other comparison tools such as squared coherence. On hand, i...

Farmers need accurate and timely information to increase crop production productivity. However, market price fluctuations extension approach changes inspired the farmers opt for private agricultural systems. The decision adopt or reject an innovation depends on farmer's attitude toward innovation. Thus, present study was undertaken assess unidimensional nature of scale through scalogram techniq...

In acoustic scene classification (ASC), features play a crucial role in the extraction of information, which can be stored over different time scales. Moreover, limited size dataset may lead to biased model with poor performance for recordings from unseen cities and confusing classes. This paper proposes long-term wavelet feature that captures discriminative information. The extracted scalogram...