Signal segmentation is a crucial stage in the activity recognition process; however, this has been rarely and vaguely characterized so far. Windowing approaches are normally used for segmentation, but no clear consensus exists on which window size should be preferably employed. In fact, most designs rely figures previous works, with strict studies that support them. Intuitively, decreasing allows faster detection, as well reduced resources energy needs. On contrary, large data windows...

The delivery of healthcare services has experienced tremendous changes during the last years. Mobile health or mHealth is a key engine advance in forefront this revolution. Although there exists growing development mobile applications, lack tools specifically devised for their implementation. This work presents mHealthDroid, an open source Android implementation Framework designed to facilitate rapid and easy biomedical apps. framework particularly planned leverage potential devices such as...

This paper presents a multiobjective evolutionary algorithm to optimize radial basis function neural networks (RBFNNs) in order approach target functions from set of input-output pairs. The procedure allows the application heuristics improve solution problem at hand by including some new genetic operators process. These are based on two well-known matrix transformations: singular value decomposition (SVD) and orthogonal least squares (OLS), which have been used define mutation that produce...

Most wearable activity recognition systems assume a predefined sensor deployment that remains unchanged during runtime. However, this assumption does not reflect real-life conditions. During the normal use of such systems, users may place sensors in position different from placement. Also, move their original location to one, due loose attachment. Activity trained on patterns characteristic given likely fail displacements. In work, we innovatively explore effects displacement induced by both...

This work introduces an open benchmark dataset to investigate inertial sensor displacement effects in activity recognition. While position displacements such as rotations and translations have been recognised a key limitation for the deployment of wearable systems, realistic is lacking. We introduce concept gradual conditions, including ideal, self-placement user, mutual deployments. These conditions were analysed considering 33 fitness activities, recorded using 9 units from 17...

In the synthesis of a fuzzy system two steps are generally employed: identification structure and optimization parameters defining it. The paper presents methodology to automatically perform these in conjunction using three-phase approach construct from numerical data. Phase 1 outlines membership functions rules for specific structure, starting very simple initial topology. 2 decides new more suitable topology with information received previous step; it determines which variable number sets...

Technological advances on the development of mobile devices, medical sensors, and wireless communication systems support a new generation unobtrusive, portable, ubiquitous health monitoring for continuous patient assessment more personalized care. There exist growing number apps in domain; however, little contribution has been specifically provided, so far, to operate this kind with wearable physiological sensors. The PhysioDroid, presented paper, provides means remotely monitor evaluate...

Recent years have witnessed a widespread in the use of interval type-2 fuzzy logic systems (IT2 FLSs) real-world applications. It has been shown recently that sets FSs) are more general than interval-valued (IV [1]. Hence, there is need to explore capabilities forms IT2 FSs (beyond IV and applications areas they will be suitable for. In addition, develop theory FLSs (gfIT2 FLSs), which employ not equivalent can nonconvex secondary membership functions (MFs). Although these could considered...

Most genetic algorithm (GA) users adjust the main parameters of design a GA (crossover and mutation probability, population size, number generations, crossover, mutation, selection operators) manually. Nevertheless, when applications are being developed it is very important to know which have greatest influence on behavior performance GA. The purpose this study was analyze dynamics GAs confronted with modifications principal that define them, taking into account two characteristics GAs;...

Singleton interval type-2 fuzzy logic systems (FLSs) have been widely applied in several real-world applications, where it was shown that the singleton FLSs outperform their type-1 counterparts applications with high uncertainty levels. However, one of main criticisms is fact they solely based on use extra degrees freedom (extra parameters) and a sufficiently large number parameters may provide same performance as FLSs. In addition, most works only compare results but fail to consider...

Alzheimer's Disease (AD) is normally identified by several behavioral symptoms often mistakenly associated to age-related concerns or stress. However correct diagnosis and monitoring of the disease requires additional resources. This paper presents a new methodology for classification from MR images medical support. A large database with more than one thousand patients was used. Two different problems are tackled in this work: first where method developed classify as either normal second...

Abstract Motivation: Multiple sequence alignments (MSAs) are widely used approaches in bioinformatics to carry out other tasks such as structure predictions, biological function analyses or phylogenetic modeling. However, current tools usually provide partially optimal alignments, each one is focused on specific features. Thus, the same set of sequences can produce different above all when less similar. Consequently, researchers and biologists do not agree about which most suitable way...

The ITISE 2024 (10th International Conference on Time Series and Forecasting) seeks to provide a discussion forum for scientists, engineers, educators students about the latest ideas realizations in terms of foundations, theory, models applications interdisciplinary multidisciplinary research encompassing disciplines computer science, mathematics, statistics, forecaster, econometric, etc [...]

In this paper, a systematic design is proposed to determine fuzzy system structure and learning its parameters, from set of given training examples. particular, two fundamental problems concerning modeling are addressed: 1) rule parameter optimization 2) the identification (i.e., number membership functions rules). A four-step approach build automatically presented: Step 1 directly obtains optimum rules for function configuration. 2 optimizes allocation conclusion rules, in order achieve...