Sign language recognition based on intelligent glove using machine learning techniques

PD Rosero-Montalvo, P Godoy-Trujillo… - 2018 IEEE Third …, 2018 - ieeexplore.ieee.org
We present an intelligent electronic glove system able to detect numbers of sign language in
order to automate the process of communication between a deaf-mute person and others …

Interactive information visualization models: a systematic literature review

MA Ortega-Bustamante, W Hasperué… - … Science and Its …, 2023 - Springer
Interactive information visualization models aim to make dimensionality reduction (DR)
accessible to non-expert users through interactive visualization frameworks. This systematic …

Intelligent system for identification of wheelchair user's posture using machine learning techniques

PD Rosero-Montalvo, DH Peluffo-Ordonez… - IEEE Sensors …, 2018 - ieeexplore.ieee.org
This paper presents an intelligent system aimed at detecting a person's posture when sitting
in a wheelchair. The main use of the proposed system is to warn an improper posture to …

Prototype reduction algorithms comparison in nearest neighbor classification for sensor data: Empirical study

P Rosero-Montalvo, DH Peluffo-Ordónez… - 2017 IEEE Second …, 2017 - ieeexplore.ieee.org
This work presents a comparative study of prototype selection (PS) algorithms. Such a study
is done over data-from-sensor acquired by an embedded system. Particularly, five …

Neighborhood criterion analysis for prototype selection applied in WSN data

PD Rosero-Montalvo… - 2017 international …, 2017 - ieeexplore.ieee.org
The present work presents an analysis of the neighborhood criterion for the prototype
selection (PS) in supervised machine learning classification algorithms. To do this, we use …

Data visualization using interactive dimensionality reduction and improved color-based interaction model

PD Rosero-Montalvo, DF Peña-Unigarro… - … Applications Based on …, 2017 - Springer
This work presents an improved interactive data visualization interface based on a mixture of
the outcomes of dimensionality reduction (DR) methods. Broadly, it works as follows: The …

Introducing the concept of interaction model for interactive dimensionality reduction and data visualization

MC Ortega-Bustamante, W Hasperué… - … Science and Its …, 2020 - Springer
This letter formally introduces the concept of interaction model (IM), which has been used
either directly or tangentially in previous works but never defined. Broadly speaking, an IM …

Interactive visualization interfaces for big data analysis using combination of dimensionality reduction methods: a brief review

AC Umaquinga-Criollo, DH Peluffo-Ordóñez… - Technology …, 2020 - Springer
Abstract The Big Data analysis allows to generate knowledge based on mathematical
models that surpass human capabilities, and therefore it is necessary to have robust …

A novel color-based data visualization approach using a circular interaction model and dimensionality reduction

JA Salazar-Castro, PD Rosero-Montalvo… - Advances in Neural …, 2018 - Springer
Dimensionality reduction (DR) methods are able to produce low-dimensional
representations of an input data sets which may become intelligible for human perception …

[LIVRE][B] Advances in Near-Field to Blind Far-Field Ptychography, and Compressed Classification from Phaseless Measurements

MP Roach - 2023 - search.proquest.com
Chapter 1 initially concerns the introduction of Fourier Phase Retrieval. In many imaging
systems, one can only measure the magnitude-square of the Fourier transform of the …